21% adults favor the use of unmanned drones by police agencies. Twelve U.S. adults are randomly selected. Find the probability that the number of U.S. adults who favor the use of unmanned drones by police agencies is (a) exactly three, (b) at least four, (c) less than eight. (a) P(3)=nothing (Round to three decimal places as needed.)(b) P(x≥4)=nothing (Round to three decimal places as needed.)(c) P(x<8)=nothing (Round to three decimal places as needed.)

Answers

Answer 1

a.  The probability that exactly 3 U.S. adults out of 12 favor the use of unmanned drones by police agencies is 0.218.

b. The probability that at least 4 U.S. adults out of 12 favor the use of unmanned drones by police agencies is 0.684.

c. The probability that less than 8 U.S. adults out of 12 favor the use of unmanned drones by police agencies is 0.968.

This problem requires the use of the binomial distribution, where we have:

n = 12 (number of trials, or U.S. adults randomly selected)

p = 0.21 (probability of success, or favoring the use of unmanned drones by police agencies)

(a) To find P(x=3), the probability that exactly 3 U.S. adults out of 12 favor the use of unmanned drones by police agencies, we can use the binomial probability formula:

P(x=3) = (12 choose 3) * 0.21^3 * (1-0.21)^(12-3)

P(x=3) = 0.218

(b) To find P(x≥4), the probability that at least 4 U.S. adults out of 12 favor the use of unmanned drones by police agencies, we can use the complement rule and the binomial cumulative distribution function:

P(x≥4) = 1 - P(x<4)

P(x≥4) = 1 - P(x=0) - P(x=1) - P(x=2) - P(x=3)

P(x≥4) = 1 - (12 choose 0) * 0.21^0 * (1-0.21)^(12-0) - (12 choose 1) * 0.21^1 * (1-0.21)^(12-1) - (12 choose 2) * 0.21^2 * (1-0.21)^(12-2) - P(x=3)

P(x≥4) = 0.684

(c) To find P(x<8), the probability that less than 8 U.S. adults out of 12 favor the use of unmanned drones by police agencies, we can use the binomial cumulative distribution function:

P(x<8) = P(x≤7)

P(x<8) = P(x=0) + P(x=1) + P(x=2) + ... + P(x=7)

P(x<8) = (12 choose 0) * 0.21^0 * (1-0.21)^(12-0) + (12 choose 1) * 0.21^1 * (1-0.21)^(12-1) + (12 choose 2) * 0.21^2 * (1-0.21)^(12-2) + ... + (12 choose 7) * 0.21^7 * (1-0.21)^(12-7)

P(x<8) = 0.968

So the probability that less than 8 U.S. adults out of 12 favor the use of unmanned drones by police agencies is 0.968.

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Related Questions

Help need answers!!! 100 POINTS!!! what does x equal, and what does angle m

Answers

Answer:

x = 10.1, AXY = 71.7 degrees

Step-by-step explanation:

There are two ways to solve this problem. You could either do 7x+1+108.3=180 or 180-108.3, then take that number and set it equal to 7x+1.

I will be using the latter. (You can do this because angle YXB is a linear pair with angle AXY. This means they add up to 180. So to find angle AXY, you subtract 180 from 108.3)

[tex]180-108.3=71.7\\\\7x+1=71.7\\\\[/tex]

Subtract one from each side to move variables to the left and constants to the right.

[tex]7x+1-1=71.7-1\\\\7x=70.7[/tex]

Divide seven by both sides to isolate the variable.

[tex]\frac{7x}{7}=\frac{70.7}{7} \\\\x=10.1[/tex]

So now we know what x is. So to find AXY, you substitute it back into the equation.

[tex]7(10.1)+1=71.7\\\\70.1+1=71.7?\\\\71.1=71.7?[/tex]

"The diameters of Ping-Pong balls manufactured at a
large factory are normally distributed with a mean of 3cm and a
standard deviation of 0.2cm. The probability that a randomly
selected Ping-Pong ball has a diameter of less than 2,7 cm is"

Answers

The probability that a randomly selected Ping-Pong ball has a diameter of less than 2.7 cm is approximately 0.0668 or 6.68%.

To solve this problem, we need to standardize the value of 2.7 using the formula:

z = (x - μ) / σ

where:

x = 2.7 (the value we want to find the probability for)

μ = 3 (mean)

σ = 0.2 (standard deviation)

z = (2.7 - 3) / 0.2

z = -1.

Now, we need to find the probability that a randomly selected Ping-Pong ball has a diameter of less than 2.7 cm, which is the same as finding the area to the left of z = -1.5 on the standard normal distribution curve. We can use a standard normal distribution table or a calculator to find this area.

Using a standard normal distribution table, we can find the area to the left of z = -1.5 is 0.0668.

Therefore, the probability that a randomly selected Ping-Pong ball has a diameter of less than 2.7 cm is approximately 0.0668 or 6.68%.

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I need help with this question!

Answers

The perimeter of the figure in this problem is given as follows:

P = 36.6.

What is the perimeter of a polygon?

The perimeter of a polygon is given by the sum of all the lengths of the outer edges of the figure, that is, we must find the length of all the edges of the polygon, and then add these lengths to obtain the perimeter.

For this problem, three of the lengths are quite straightforward, as follows:

10, 4 and 10.

The fourth length is half the circumference of a circle of diameter 4 = radius 2, hence it is given as follows:

C = 2πr

C = 4π.

C = 12.6.

Hence the perimeter of the figure is given as follows:

P = 10 + 4 + 10 + 12.6

P = 36.6.

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Details Identify the following events as mutually exclusive, independent, dependent or none of these things. You can select more than one option, if appropriate. a) You and a randomly selected student from your class both earn an A in this course. a. Independent b. Dependent c. Mutually Exclusive d. None of these

Answers

For example, if the events were "you earn an A" and "your friend, who always studies with you, earns an A", these events would be dependent because the probability of your friend earning an A would be affected by whether or not you earn an A.

In this case, the events are not mutually exclusive because both events can happen at the same time (i.e., both you and a randomly selected student can earn an A in the course).

The events can be considered independent if one event does not affect the probability of the other event occurring. In this case, whether you earn an A does not affect the probability of the randomly selected student also earning an A. Therefore, the events can be considered independent.

Note that if the events were dependent, it would mean that the probability of one event occurring would affect the probability of the other event occurring. For example, if the events were "you earn an A" and "your friend, who always studies with you, earns an A", these events would be dependent because the probability of your friend earning an A would be affected by whether or not you earn an A.

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A man is twice as his son and ten times as old as his grandson. Their combined age amount to 96 years. How old are they?​

Answers

The age of the man , his son, and his grandson is equal to 60 years, 30 years, and  6 years old.

Let x be the age of the son

2x be the age of the man since he is twice as old as his son.

let y be the age of the grandson .

The sum of their ages is 96.

x + 2x + y = 96

Simplifying this equation, we get

⇒3x + y = 96

The man is ten times as old as his grandson,

⇒2x = 10y

Simplifying this equation, we get,

⇒x = 5y

Now substitute x = 5y into the first equation,

⇒3x + y = 96

⇒3(5y) + y = 96

⇒15y + y = 96

⇒16y = 96

⇒y = 6

So the grandson is 6 years old.

Using x = 5y

⇒The son is 30 years old.

Finally, the man is 2x = 2(30)

                                  = 60 years old.

Therefore, the man is 60 years old, his son is 30 years old, and his grandson is 6 years old.

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Last year, 46% of business owners gave a holiday gift to their employees. A survey of business owners indicated that 45% plan to provide a holiday gift to their employees. Suppose the survey results are based on a sample of 60 business owners. (a) How many business owners in the survey plan to provide a holiday gift to their employees? (b) Suppose the business owners in the sample do as they plan. Compute the p value for a hypothesis test that can be used to determine if the proportion of business owners providing holiday gifts has decreased from last year. If required, round your answer to four decimal places. If your answer is zero, enter "0". Do not round your intermediate calculations. (c) Using a 0.05 level of significance, would you conclude that the proportion of business owners providing gifts has decreased? We the null hypothesis. We conclude that the proportion of business owners providing gifts has decreased from 2008 to 2009. What is the smallest level of significance for which you could draw such a conclusion? If required, round your answer to four decimal places. If your answer is zero, enter "0". Do not round your intermediate calculations. The smallest level of significance for which we could draw this conclusion is ; because p-value α=0.05, we the null hypothesis.

Answers

a) 27 business owners plan to provide a holiday gift to their employees.

b) Using a z-table, the p-value for z = -0.1583 is 0.4371 (rounded to four decimal places).

c) The smallest level of significance for which we could draw this conclusion would be equal to the calculated p-value, which is 0.4371 (rounded to four decimal places).

(a) In the survey of 60 business owners, 45% plan to provide a holiday gift to their employees. To find the number of business owners planning to give gifts, multiply the total number of business owners (60) by the percentage (0.45): 60 x 0.45 = 27 business owners plan to provide a holiday gift to their employees.

(b) To compute the p-value for a hypothesis test to determine if the proportion of business owners providing holiday gifts has decreased from last year, first, find the test statistic:

z = (p_sample - p_population) / sqrt((p_population * (1 - p_population)) / n)
z = (0.45 - 0.46) / sqrt((0.46 * (1 - 0.46)) / 60)
z = -0.01 / 0.0632 = -0.1583

Using a z-table, the p-value for z = -0.1583 is 0.4371 (rounded to four decimal places).

(c) Since the p-value (0.4371) is greater than the level of significance α=0.05, we fail to reject the null hypothesis. Thus, we cannot conclude that the proportion of business owners providing gifts has decreased based on the given level of significance.

The smallest level of significance for which we could draw this conclusion would be equal to the calculated p-value, which is 0.4371 (rounded to four decimal places).

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A coin is tossed 4 times. What are the odds against the coin showing heads all 4 times?

Answers

The odds against the coin showing heads all 4 times its tossed is 15:1.

Explaining how to get the odd of a tossed coin

Probability of getting heads on one toss of a fair coin is 1/2

Since the coin is tossed four times, the probability of getting heads all four times is:

P(H) =  (1/2) x (1/2) x (1/2) x (1/2) = 1/16.

Recall that the odds against an event happening are the ratio of the number of ways it can't happen to the number of ways it can happen.

In this case, the number of ways the coin won't show heads all four times is:

P(T) = 15 (there are 16 possible outcomes and only one of them is all heads). Therefore, the odds against the coin showing heads all four times are 15 to 1.

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From question 1, recall the following definition. Definition. An integer n leaves a remainder of 3 upon division by 7 if there exists an integer k such that n = 7k + 3. (a) Show that the integer n = 45 leaves a remainder of 3 upon division by 7 by verifying the definition above. (b) Show that the integer n = -32 leaves a remainder of 3 upon division by 7 by verifying the definition 3 above. (c) Show that the integer n = 3 leaves a remainder of 3 upon division by 7 by verifying the definition (d) Show that the integer n= -4 leaves a remainder of 3 upon division by 7 by verifying the definition а (e) Use a proof by contradiction to prove the following theorem: Theorem. The integer n = 40 does not leave a remainder of 3 upon division by 7.

Answers

This contradicts our assumption, so we conclude that 40 does not leave a remainder of 3 upon division by 7.

(a) To show that 45 leaves a remainder of 3 upon division by 7, we need to find an integer k such that 45 = 7k + 3. We can write 45 as 42 + 3, which gives us 45 = 7(6) + 3. Thus, n = 45 satisfies the definition and leaves a remainder of 3 upon division by 7.

(b) To show that -32 leaves a remainder of 3 upon division by 7, we need to find an integer k such that -32 = 7k + 3. We can write -32 as -35 + 3, which gives us -32 = 7(-5) + 3. Thus, n = -32 satisfies the definition and leaves a remainder of 3 upon division by 7.

(c) To show that 3 leaves a remainder of 3 upon division by 7, we need to find an integer k such that 3 = 7k + 3. We can write 3 as 0 + 3, which gives us 3 = 7(0) + 3. Thus, n = 3 satisfies the definition and leaves a remainder of 3 upon division by 7.

(d) To show that -4 leaves a remainder of 3 upon division by 7, we need to find an integer k such that -4 = 7k + 3. We can write -4 as -7 + 3, which gives us -4 = 7(-1) + 3. Thus, n = -4 satisfies the definition and leaves a remainder of 3 upon division by 7.

(e) To prove that 40 does not leave a remainder of 3 upon division by 7, we assume the opposite, that is, we assume that 40 does leave a remainder of 3 upon division by 7. This means that there exists an integer k such that 40 = 7k + 3. Rearranging this equation gives us 37 = 7k, which means that k is not an integer, since 37 is not divisible by 7. This contradicts our assumption, so we conclude that 40 does not leave a remainder of 3 upon division by 7.

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Confidence Interval Calculation.
1. You randomly sample beetles from the Smith Island Population. For a sample of size 20, the sample mean weight is 0.21 grams. You know the colony population standard deviation in weight is 0.05 grams. Find the 95% confidence interval for the population mean. Set up the equation, solve to an upper and lower limit and write out the correct confidence interval statement. Assume the population is normally distributed and the critical z value you will need is 96

Answers

We are 95% confident that the true population mean weight of beetles in the Smith Island population lies between 0.1876 grams and 0.2324 grams.

To calculate the 95% confidence interval for the population mean, we can use the formula:

CI = X ± z*(σ/√n)

where X is the sample mean, σ is the population standard deviation, n is the sample size, and z* is the critical value of the standard normal distribution corresponding to the desired level of confidence.

In this case, X = 0.21 grams, σ = 0.05 grams, n = 20, and the critical z value for a 95% confidence level is 1.96.

So, the confidence interval can be calculated as:

CI = 0.21 ± 1.96*(0.05/√20)

= 0.21 ± 0.0224

Therefore, the 95% confidence interval for the population mean weight of beetles in the Smith Island population is (0.1876, 0.2324) grams.

The correct confidence interval statement would be: We are 95% confident that the true population mean weight of beetles in the Smith Island population lies between 0.1876 grams and 0.2324 grams.

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Assume that two fair dice are rolled. Define two events as follows:
F = the total is five
E = an odd total shows on the dice
a. Compute P(F) and
b. Compute P(F|E). Explain why one would expect the probability of F to change as it did when we added the condition that E had occurred.

Answers

When two fair dice are rolled,

(a) P(F) = 1/9

(b) P(F|E) = 1/5

a. To compute P(F), we need to find the probability that the total of two dice is five. There are four ways to obtain a total of five: (1,4), (2,3), (3,2), and (4,1). Since each die has six possible outcomes, there are 6x6=36 possible outcomes when two dice are rolled. Therefore, P(F) = 4/36 = 1/9.

b. To compute P(F|E), we need to find the probability that the total of two dice is five given that the total is odd. Since the sum of two odd numbers is always even, we know that if an odd total shows on the dice, then the sum must be either 3, 5, 7, 9, or 11. Out of these possibilities, only one yields a total of 5, which is (2,3). Therefore, P(F|E) = 1/5.

We would expect the probability of F to change when we condition on E because the occurrence of E affects the sample space. When we know that an odd total shows on the dice, we can eliminate some of the possible outcomes and reduce the sample space. This makes it more likely that the remaining outcomes will satisfy the condition for F, which increases the probability of F. Therefore, P(F|E) is greater than P(F) because E provides additional information that makes F more likely.

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Given the logistic function 3 x(t) = e-1.08 t +0.09 The time needed to reach x(t)= 98 is t=3. Select one: a. True b. False

Answers

The statement "Given the logistic function 3 x(t) = e-1.08 t +0.09 The time needed to reach x(t)= 98 is t=3." is :

(b) False

The logistic function is a mathematical function that is used to model growth processes that are limited by saturation. It is often used in the field of biology to model population growth, as well as in economics to model the growth of markets and the adoption of new technologies.

Given the logistic function x(t) = 3e^(-1.08t) + 0.09, you want to determine if x(t) = 98 when t = 3.

Step 1: Plug in t = 3 into the function
x(3) = 3e^(-1.08*3) + 0.09

Step 2: Calculate the result
x(3) ≈ 3e^(-3.24) + 0.09 ≈ 0.0705

Since x(3) ≈ 0.0705 and not 98, the statement "The time needed to reach x(t) = 98 is t = 3" is false. Therefore, the correct answer is:

b. False

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What is the least common multiple (LCM) of xy, x^2, and xy-? X Xy^2
Ax
bxy
cx^2y^2
dx^4y^3​

Answers

The answer is option [tex](cx^2y^2).[/tex]

What is  least common multiple (LCM) of xy, x^2, and xy-? X Xy^2

To find the least common multiple (LCM) of [tex]xy, x^2,[/tex] and xy^2, we need to factor each term into its prime factors and then take the highest power of each factor.

xy = (x) * (y)

x^2 = (x) * (x)

xy^2 = (x) * [tex](y^2)[/tex]

The prime factorization of the given terms are:

xy = (x) * (y)

x^2 = (x) * (x)

xy^2 = (x) * [tex](y^2)[/tex]

So, the LCM can be found by taking the highest power of each factor, which gives us:

LCM = [tex](x^2)[/tex] * [tex](y^2)[/tex] =[tex]x^2y^2[/tex]

Therefore, the answer is option [tex](cx^2y^2).[/tex]

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Tell which one is true and why. 1-Having x2 f(x) = g(x) = x + 1 r - 1 and the equality f(x) = g(x), about the functions f and g we can say: A) The functions f and g are the same B) Only the expressions of fand g are the same C) The data did not allow whether or not f and g are equal, D) The functions f and g are not the same

Answers

The functions f(x) and g(x) given that [tex]x^2 f(x) = g(x) = x + 1[/tex], the function f and g are not the same, option D.

Rewriting the equation

We are given [tex]x^2  f(x) = g(x) = x + 1[/tex]. Let's rewrite this as two separate equations:

[tex]x^2 f(x) = x + 1[/tex]

g(x) = x + 1

Determining the relationship between f(x) and g(x)

We can rearrange the first equation to solve for f(x):

[tex]f(x) = (x + 1) / x^2[/tex]

Now, we have expressions for both f(x) and g(x):

[tex]f(x) = (x + 1) / x^2[/tex]

[tex]g(x) = x + 1[/tex]

Comparing the expressions for f(x) and g(x), we can see that they are not the same. The expressions for f(x) and g(x) differ, so the functions f(x) and g(x) are not the same.

Therefore, the correct answer is D) The functions f and g are not the same.

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4) A communication system has on the average 26 component failures per year of the same plug-in element. If it takes two weeks to have a new component delivered, how many spares should be kept to maintain 90% or more probability of system success?

Answers

The spares should be kept to maintain a 90% or more probability of system success is 35

Let λ be the normal number of component disappointments per year, at that point the disappointment rate (or rate parameter) is given by λ/52 since there are 52 weeks in a year. Let's signify this by μ = λ/52.

The framework victory likelihood can be modeled utilizing the Poisson dissemination since the disappointments happen haphazardly and freely over time. Let X be the number of component disappointments in a year, at that point X takes after a Poisson conveyance with cruel λ.

To preserve a 90% or more likelihood of system victory, we got to guarantee that the number of saves is adequate to cover at the slightest 90% of the potential disappointments. This implies that the likelihood of having more than k disappointments in a year ought to be less than or break even with 0.1, where k is the number of saves.

Let Y be the number of component disappointments amid the two-week conveyance time. At that point, Y too takes after a Poisson conveyance with cruel μ/26, since there are 26 weeks in a half-year (i.e., two quarters). The likelihood of having more than k disappointments amid the conveyance time is given by:

P(Y > k) = 1 - P(Y ≤ k) = 1 - ∑_[tex]{i=0}^k (e^(-μ/26) (μ/26)^i[/tex]/ i!)

where e is the base of the common logarithm.

To preserve a 90% or more likelihood of system victory, we ought to select k such that P(Y > k) ≤ 0.1. Able to solve for k numerically, employing a spreadsheet or a computer program.

For example, utilizing Microsoft Exceed expectations or Go-ogle Sheets, ready to utilize the taking after an equation to compute P(Y > k) for distinctive values of k:

=1-POISSON(k,μ/26,TRUE)

where POISSON is the Poisson total conveyance work, with the moment contention being the cruel and the third contention being Genuine to indicate an aggregate conveyance.

Beginning with k = 26 (i.e., one save per week), able to increment k until we discover the littlest esteem that fulfills P(Y > k) ≤ 0.1. In this case, we discover that k = 35 saves are required to preserve a 90% or more likelihood of framework victory. 

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A market has 3,000 oranges. If the market has 100 fruit crates and wants to put the same number of oranges in each crate, how many oranges will go into each crate?

Answers

Answer:

30 oranges

Step-by-step explanation:

Divide 3,000 by 100 and you get the number of 30 so which means they can put 30 oranges each box if they wanted to.

Step-by-step explanation:

Answer: 30

Step-by-step explanation:

divide 3000 by 100 and then you git your answer

Learning curves are important for:
a. helping new PMs understand the required math.
b. visualization of curved mechanical parts.
c. estimating performance improvement as workers become experienced.
d. estimating cost improvement as parts become "broken in".

Answers

The correct answer is c. Learning curves are important for estimating performance improvement as workers become experienced.

Learning curves are often used in project management to estimating the time, effort, and resources required to complete a task or project. They help to estimate how long it will take for a worker or team to become proficient at a task or process, based on the amount of time and effort that they have put into it.

This can be helpful in estimating performance improvement as workers become more experienced and efficient in their work. The concept of a learning curve is a curved line that represents the rate of improvement over time, which is why the term "curve" is relevant. While learning curves do involve some math, they are not primarily focused on helping new PMs understand required math, nor are they used for visualization of curved mechanical parts or estimating cost improvement as parts become "broken in."
Learning curves are important for:
c. estimating performance improvement as workers become experienced.
Learning curves represent the progress made in a skill or job over time, whereas a curve illustrates the relationship between experience and efficiency. As workers become more experienced, their performance typically improves, which can be estimated using a learning curve in various industries and tasks.

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can quite get it can someone help me?!!

Answers

The area of the shaded portion of the given shape is: 114 yd²

What is the area of the shaded region?

The formula for the area of a rectangle is expressed as:

A = L * W

Where:

L is Length

W is Width

Now, to find the area of the shaded part, we will find the area of the bigger rectangle and subtract the area of the unshaded rectangle from it.

Thus:

Area of shaded part = (20 * 12) - (14 * 9)

Area of shaded part = 240 - 126

Area of shaded part = 114 yd²

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Find the linear approximation of the given function at ( Pi, 0). F(x,y)= square root y +(cos(x))^2 F(x,y)=

Answers

The linear approximation of F at (Pi, 0) is [tex]-Pi^2cos^2(Pi).[/tex]

To discover the linear approximation of the given function at (Pi, 0), we need to first discover the partial derivatives of the function with respect to x and y evaluated at (Pi, zero).

Partial derivative of F with recognize to x:

∂F/∂x = -2sin(x)cos(x)

evaluated at (Pi, 0):

∂F/∂x(Pi, 0) = -2sin(Pi)cos(Pi) = 0

Partial derivative of F with recognize to y:

∂F/∂y = 1/(2√y)

evaluated at (Pi, 0):

∂F/∂y(Pi, 0) = 1/(2√0) = undefined

For the reason that partial derivative of F with respect to y is undefined at (Pi, 0), we can't use the multivariable Taylor collection to discover the linear approximation. as an alternative, we will use the formula for the linear approximation:

[tex]L(x,y) = f(a,b) + ∂f/∂x(a,b)(x-a) + ∂f/∂y(a,b)(y-b)[/tex]

Wherein (a,b) is the factor at which we want to find the linear approximation.

In this case, a = Pi and b = 0. So, the linear approximation is:

[tex]L(x,y) = F(Pi, 0) + ∂F/∂x(Pi, 0)(x - Pi)[/tex]

[tex]L(x,y) = sqrt(0) + (cos(Pi))^2(0 - Pi)[/tex]

[tex]L(x,y) = -Pi^2cos^2(Pi)[/tex]

Consequently, the linear approximation of F at (Pi, 0) is [tex]-Pi^2cos^2(Pi).[/tex]

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Y=x^2+3x+4 solve the Quadratic equation

Answers

Answer:

The solutions to the quadratic equation y = x^2 + 3x + 4 are (-1.5 + 1.936i) and (-1.5 - 1.936i).

Step-by-step explanation:

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According to a study on the effects of smoking by pregnant women on rates of asthma in their children, for expectant mothers who smoke 20 cigarettes per day, 22.1% of their children developed asthma by the age of two in the US. A biology professor at a university would like to test if the percentage is lower in another country. She randomly selects 336 women who only deliver one child and smoke 20 cigarettes per day during pregnancy in that country and finds that 70 of the children developed asthma by the age of two. In this hypothesis test, the test statistic, z = and the p-value = (Round your answers to four decimal places.)

Answers

the biology professor cannot conclude that the percentage of children who develop asthma in the new country is lower than the percentage observed in the US study.



The biology professor can use hypothesis testing to determine if the percentage of children who develop asthma in the new country is significantly different from the percentage observed in the US study.

Here are the steps she can take:

1. Define the null and alternative hypotheses:
- Null hypothesis (H0): The percentage of children who develop asthma in the new country is the same as the percentage observed in the US study (i.e., 22.1%).
- Alternative hypothesis (Ha): The percentage of children who develop asthma in the new country is lower than the percentage observed in the US study.

2. Determine the test statistic to use:
- The appropriate test statistic for this scenario is the one-sample proportion z-test.

3. Set the significance level (alpha):
- Let's assume a significance level of 0.05.

4. Calculate the test statistic:
- The sample proportion of children who developed asthma in the new country is p = 70/336 = 0.2083.
- The standard error of the sample proportion is SE = sqrt[(p*(1-p))/n] = sqrt[(0.2083*(1-0.2083))/336] = 0.027.
- The test statistic is z = (p - P) / SE, where P is the proportion observed in the US study. So, z = (0.2083 - 0.221) / 0.027 = -0.463.

5. Determine the p-value and make a decision:
- The p-value is the probability of obtaining a test statistic as extreme or more extreme than the observed value, assuming the null hypothesis is true. Using a standard normal distribution table or calculator, we find that the p-value is 0.3212.
- Since the p-value is greater than the significance level of 0.05, we fail to reject the null hypothesis. There is not enough evidence to conclude that the percentage of children who develop asthma in the new country is significantly different from the percentage observed in the US study.

Therefore, the biology professor cannot conclude that the percentage of children who develop asthma in the new country is lower than the percentage observed in the US study.

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8. Is ABC a right triangle? Explain. B 5 A 14 C 9.2​

Answers

Answer: No, it is not.

Step-by-step explanation:

To figure out if a shape is a right triangle, we need to use the pythagorean theorem, which states that a^2 + b^2 = c^2.

In this case, a is equal to 5, b is equal to 9.2, and c is equal to 14.

a^2 is equal to 25 and b^2 is equal to 84.64, we can add these two values together to get 109.64.

Now, we calculate 14^2, which is 196.

We now have something to determine, is 109.64 equal to 196?

Since these two numbers are not equal to each other, the answer is no, and that means this triangle is not a right triangle.

Answer:

Triangle ABC is not a right triangle, as the sum of the squares of the shortest two sides do not equal to the square of the longest side.

Step-by-step explanation:

Pythagoras Theorem explains the relationship between the three sides of a right triangle. The square of the hypotenuse (longest side) is equal to the sum of the squares of the legs of a right triangle:

[tex]\boxed{a^2+b^2=c^2}[/tex]

where:

a and b are the legs of the right triangle.c is the hypotenuse (longest side) of the right triangle.

As we have been given the measures of all three sides of triangle ABC (where AB and AC are the shortest sides, and BC is the longest side), we can use Pythagoras Theorem to determine if the triangle is a right triangle.

If triangle ABC is a right triangle, then AB and AC will be the legs, and BC will be the hypotenuse.

Substitute the values into the formula:

[tex]\implies AB^2+AC^2=BC^2[/tex]

[tex]\implies 5^2+9.2^2=14^2[/tex]

[tex]\implies 25+84.64=196[/tex]

[tex]\implies 109.64=196[/tex]

As 109.64 does not equal 196, triangle ABC is not a right triangle.

a chi-square goodness-of-fit test was conducted to determine whether the data provide convincing evidence that the distribution has changed. the test statistic was 10.13 with a p-value of 0.0175. which of the following statements is true?

Answers

To know chi-square goodness-of-fit test conducted to determine whether the data provide convincing evidence that the distribution has changed. The test statistic was 10.13 with a p-value of 0.0175.

To ascertain if the observed data adheres to a predetermined distribution, the chi-square goodness-of-fit test is utilised.

The test statistic is determined using the following formula: 2 = [(O - E)2 / E]where 2 is the test statistic, is the sum of all the categories, and O and E are the observed and predicted frequencies.

If the null hypothesis is true, the p-value is the likelihood that a test statistic will be equally extreme or more extreme than the observed one.

The null hypothesis in this situation is that the distribution has not altered.

If the p-value is less than 0.05, we reject the null hypothesis and come to the conclusion that there is a statistically significant difference between the observed and predicted frequencies, indicating that the distribution has really changed. This is because the generally used significance level is 0.05.

The test statistic in this instance is 10.13, and the p-value is 0.0175.

We reject the null hypothesis since the p-value is less than 0.05 and come to the conclusion that the data is strong evidence that the distribution has altered.

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The diameter of a circle is 18 yards. What is the circle's circumference? Use 3.14 for ​.

Pls will give brainliest
20 points

Answers

Answer:

The answer is 56.52 .

Step-by-step explanation:

18 multiple 3.14

Patricia is studying a polynomial function f(x). Three given roots of f(x) are Negative 11 minus StartRoot 2 EndRoot i, 3 + 4i, and 10. Patricia concludes that f(x) must be a polynomial with degree 4. Which statement is true?

Answers

The statement that is true is that D. Patricia is not correct because both 3 – 4i  and 11+√2i  must be roots.

What are polynomial function?

A polynomial function is a function that involves only non-negative integer powers or only positive integer exponents of a variable in an equation like the quadratic equation, cubic equation, etc.

From the information, Patricia is studying a polynomial function f(x). Three given roots of f(x) are -11-√2i , 3 + 4i, and 10. Patricia concludes that f(x) must be a polynomial with degree 4.

In this case, the correct option is D.

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Patricia is studying a polynomial function f(x). Three given roots of f(x) are -11-√2i , 3 + 4i, and 10. Patricia concludes that f(x) must be a polynomial with degree 4. Which statement is true?

A. Patricia is correct because -11+√2i must be a root.

B. Patricia is correct because 3 – 4i must be a root.

C. Patricia is not correct because both 3 – 4i  and -11+√2i  must be roots.

D. Patricia is not correct because both 3 – 4i  and 11+√2i  must be roots

Answer: D

Step-by-step explanation:

edge 2023

The marks obtained by the students in physics and in mathematics are as follows. Marks in Physics 35 23 47 17 10 43 9 6 28
Marks in Mathematics 30 33 45 23 8 49 12 4 31
Compute of correlation of ranks.
A. 0.2
B. 0.3
C. 0.7
D. 0.9

Answers

The correlation of ranks is approximately 0.2.

Option A is the correct answer.

We have,

To compute the correlation of ranks, we first need to rank the scores in each subject:
Physics: 10, 17, 23, 28, 35, 43, 47
Rank: 1, 2, 3, 4, 5, 6, 7
Mathematics: 4, 8, 12, 23, 30, 31, 33, 45, 49
Rank: 1, 2, 3, 4, 5, 6, 7, 8, 9

Then, we can calculate the differences between the ranks for each student:
Physics ranks: 1-5, 2-3, 3-7, 4-6, 5-1, 6-4, 7-2
Differences: -4, -1, -4, -2, 4, 2, 5
Mathematics ranks: 1-8, 2-6, 3-7, 4-4, 5-1, 6-5, 7-2, 8-3, 9-9
Differences: -7, -4, -4, 0, 4, -1, 5, 5, 0

Next, we can calculate the sum of the products of the differences:
= Sum of products

= (-4)(-7) + (-1)(-4) + (-4)(-4) + (-2)(0) + (4)(4) + (2)(-1) + (5)(5)
= 28 + 4 + 16 + 0 + 16 - 2 + 25
= 87

Finally, we can use the formula for the correlation of ranks:
r = 1 - (6Σd²)/(n(n² - 1))
where d is the difference in ranks and n is the number of scores

Plugging in the values, we get:
r = 1 - (6(87))/(9(81-1))
= 1 - (522)/(648)
= 1 - 0.8056
= 0.1944

= 0.2

Therefore,

The correlation of ranks is approximately 0.2.

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Type the correct answer in each box. Spell all the words correctly, and use numerals instead of words for numbers. If necessary, use / for the fraction bar(s). Two shaded triangles are graphed in an x y plane. The vertices are as follows: first: A (8, 8), B (10, 4), and C (2, 6); second: A prime (6, negative 8), B (8, negative 4), and C (0, negative 6). We can show that ∆ABC is congruent to ∆A′B′C′ by a translation of 2 unit(s) and a across the -axis.

Answers

We can show that ∆ABC is congruent to ∆A′B′C′ by a translation of (x-2, y) unit(s) and a across the x-axis.

The coordinates of the triangle are A(8, 8), B(10, 4), C(2, 6), while the triangle A'B'C' is at A'(6, -8), B'(8, -4), C'(0, -6).

If a point O(x, y) is translated a units on the x axis and b units on the y axis, the new coordinate is O'(x+a, y+b).

If a point O(x, y) is reflected across the x axis, the new coordinate is O'(x, -y)

Hence if triangle ABC is translated -2 units on the x axis (2 units left), the new coordinates are A*(6, 8), B*(8, 4), C*(0, 6). If a reflection across the x axis is then done, the new coordinates are A'(6, -8), B'(8, -4), C'(0, -6).

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7. Dr. Agoncillo is an orthopedic surgeon. He spent 4 years in undergrad, 4 years in
medical school, 5 years of residency, and completed a 1-year fellowship to
specialize in treating foot and ankle injuries. How many years total did Dr. Agoncillo
complete of post-secondary education?
8. Dan wants to stay hydrated for marching band practice. He drank two 20-ounce
bottles of Gatorade, three 16-ounce water bottles, and 1 large 32-ounce Bojangles
sweet tea. How many total fluid ounces did Dan consume?
9. The physical therapy clinic has 27 double 6-inch ACE wraps, 43 single 3-inch wraps,
93 single 6-inch ACE wraps, and 12 2-inch ACE wraps. How many ACE wraps in all
are in stock at this physical therapy clinic?
10. Karen is a hungry teenager and her favorite snack after school is one regular-size
Snickers® bar (20 grams of sugar, 11 grams of fat, 3 grams of protein), one small
bag of Doritos (1 gram of sugar, 8 grams of fat, 2 grams of protein), and one can of
Mt. Dew® (46 grams of sugar, 0 grams of fat, 0 grams of protein). How many total
grams of sugar, fat, and protein did Karen consume in this snack?

Answers

Answer:

7. Dr. Agoncillo completed a total of 14 years of post-secondary education. (4 years undergrad + 4 years medical school + 5 years residency + 1 year fellowship = 14 years)

8. Dan consumed a total of 124 fluid ounces. (2 x 20 + 3 x 16 + 1 x 32 = 40 + 48 + 32 = 120 fluid ounces)

9. There are 175 ACE wraps in stock at this physical therapy clinic. (27 x 2 + 43 x 1 + 93 x 1 + 12 x 1 = 54 + 43 + 93 + 12 = 175 ACE wraps)

10. Karen consumed a total of 67 grams of sugar, 19 grams of fat, and 5 grams of protein in this snack. (Snickers: 20g sugar + 11g fat + 3g protein = 34g total; Doritos: 1g sugar + 8g fat + 2g protein = 11g total; Mt. Dew: 46g sugar + 0g fat + 0g protein = 46g total; 34g + 11g + 46g = 91g total sugar; 11g + 0g + 0g = 11g total fat; 3g + 2g + 0g = 5g total protein)

Step-by-step explanation:

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Tiffany wants to buy the car from her mother now.(t=5)A fair price for the car will be $ in 5 years

Answers

A) The correct features is,

⇒ a = 9000

⇒ r = 15%

B) The equation correctly models the context of the problem is,

⇒ y = 9000 (0.85)ˣ

We have to given that;

Tiffany’s mother bought a car for $9000 five years ago.

And, She wants to sell it to Tiffany based on a 15% annual rate of depreciation.

Now, We have;

the exponential growth formula is,

⇒ y = a(1 − r)ˣ

Here, We have;

⇒ a = 9000

⇒ r = 15%

Thus, We get;

The equation correctly models the context of the problem is,

⇒ y = a(1 − r)ˣ

⇒ y = 9000 (1 - 0.15)ˣ

⇒ y = 9000 (0.85)ˣ

Therefore, We get;

A) The correct features is,

⇒ a = 9000

⇒ r = 15%

B) The equation correctly models the context of the problem is,

⇒ y = 9000 (0.85)ˣ

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Complete question is,

Tiffany’s mother bought a car for $9000 five years ago. She wants to sell it to Tiffany based on a 15% annual rate of depreciation.

Part A. Identify each feature of the problem as it relates to the context and the exponential growth formula: y=a(1−r)t

a=

r=

Part B. Which equation correctly models the context of the problem?

Choose : A. y=9000(0.15)t

or B. y=9000(0.85)t

Answer : The equation is

Part C.

Tiffany wants to buy the car from her mother now. (t = 5)

A fair price for the car will be about $

in 5 years.

help me please thank you with explanation​

Answers

Step-by-step explanation:

so now we are going to find the area of larger figure and subctract the rectangle from the figure

Area of triangle = 1/2 bh

= 1/2 (12) (12)

= 72 m2

Area of rectangle = L× W

= 3 × 9

=27 m2

Area of the figure= (72-27) m2

=45m2

so the figure has area of shaded region 45m2

Suppose a fair coin is tossed 3 times. Let X = the number of heads in the first 2 tosses and let Y = the number of heads in the last 2 tosses. Find (a) the joint probability mass function (pmf) of the pair (X, Y), (b) the marginal pmf of each, (c) the conditional pmf of X given Y = 1 and also given Y = 2, and (d) the correlation px,y between X and Y.

Answers

We have calculated joint, marginal, conditional probability mass function (pmf).  

What is probability?

Probability is a measure of the likelihood or chance of an event occurring. It is a number between 0 and 1, with 0 representing an impossible event and 1 representing a certain event. The probability of an event is calculated by dividing the number of ways the event can occur by the total number of possible outcomes.

(a) The joint probability mass function (pmf) of the pair (X, Y) can be found by listing all possible outcomes and their probabilities. There are 2³ = 8 possible outcomes, which are:

HHH, HHT, HTH, HTT, THH, THT, TTH, TTT

The values of X and Y for each outcome are:

HHH: X=2, Y=2

HHT: X=2, Y=1

HTH: X=1, Y=1

HTT: X=1, Y=0

THH: X=1, Y=2

THT: X=1, Y=1

TTH: X=0, Y=1

TTT: X=0, Y=0

The probability of each outcome can be calculated as (1/2)³ = 1/8, since each coin toss is independent and has a probability of 1/2 of being heads or tails. Therefore, the joint pmf of (X, Y) is:

P(X=0,Y=0) = 1/8

P(X=0,Y=1) = 1/4

P(X=0,Y=2) = 1/8

P(X=1,Y=1) = 1/4

P(X=1,Y=2) = 1/8

P(X=2,Y=1) = 1/4

P(X=2,Y=2) = 1/8

(b) The marginal pmf of X can be found by summing the joint pmf over all possible values of Y:

P(X=0) = P(X=0,Y=0) + P(X=0,Y=1) + P(X=0,Y=2) = 3/8

P(X=1) = P(X=1,Y=1) + P(X=1,Y=2) + P(X=0,Y=1) = 1/2

P(X=2) = P(X=2,Y=1) + P(X=2,Y=2) = 3/8

Similarly, the marginal pmf of Y can be found by summing the joint pmf over all possible values of X:

P(Y=0) = P(X=0,Y=0) + P(X=1,Y=0) = 1/4

P(Y=1) = P(X=0,Y=1) + P(X=1,Y=1) + P(X=2,Y=1) = 1/2

P(Y=2) = P(X=1,Y=2) + P(X=2,Y=2) = 1/4

(c) The conditional pmf of X given Y = 1 is:

P(X=0|Y=1) = P(X=0,Y=1)/P(Y=1) = (1/4)/(1/2) = 1/2

P(X=1|Y=1) = P(X=1,Y=1)/P(Y=1) = (1/4)/(1/2) = 1/2

P(X=2|Y=1) = P(X=2,Y=1)/P(Y=1) = 0

The conditional pmf of X given Y = 2 is:

P(X=0|Y=2) = P(X=0,Y=2)/P(Y=2) = (1/8)/(1/4) = 1/2

P(X=1|Y=2)

Hence, We can conclude that we have calculated joint, marginal, conditional probability mass function (pmf).  

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