Answer:
19
Step-by-step explanation:
Since the median is 18, we know that the missing number must be between 17 and 21. To find their average, we add them together and divide by 2:
(17 + 21) / 2 = 19
determine if 0.909009000900009000009... 0.909009000900009000009... is rational or irrational and give a reason for your answer.
The number 0.909009000900009000009... is irrational. To determine if a number is rational or irrational, we need to see if it can be expressed as a ratio of two integers. However, this number does not repeat in a regular pattern, so we cannot express it as a fraction. Therefore, it is irrational.
In general, if a decimal number does not repeat in a regular pattern, it is likely to be irrational.
The given number, 0.909009000900009000009..., is an irrational number.
The reason for this answer is that a rational number can be expressed as a fraction, where both the numerator and the denominator are integers and the denominator is not zero. However, this number has a non-terminating, non-repeating decimal pattern, which makes it impossible to represent it as a fraction. Thus, it is irrational.
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Marco has two bags of candy. One bag contains three red lollipops and
2 green lollipops. The other bag contains four purple lollipops and five blue
lollipops. One piece of candy is drawn from each bag. What is the probability
of choosing a green lollipop and a purple lollipop?
The value of the probability of choosing a green lollipop and a purple lollipop is, 8 / 45
We have to given that;
One bag contains 3 red lollipops and 2 green lollipops.
And, The other bag contains four purple lollipops and five blue lollipops.
Hence, The probability of choosing a green lollipop is,
P₁ = 2 / 5
And, The probability of choosing a purple lollipop is,
P₂ = 4 / 9
Thus, The value of the probability of choosing a green lollipop and a purple lollipop is,
P = P₁ × P₂
P = 2/5 × 4/9
P = 8/45
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I need help ASAP!!!! The answer is down below in the picture.
The length of FH measures as 18 unit.
A quadrilateral in which opposite sides are parallel is called a parallelogram, a parallelogram is always a quadrilateral but a quadrilateral can or cannot be a parallelogram.
We are given the diagonals as;
FH = 4z -9 + 2z
EG = 3w +w + 8
Therefore, we know that the diagonal of the parallelogram bisect each other.
FJ = JH
4z -9 = 2z
4z - 2z = 9
2z = 9
z = 9/2
Then FH = 4z -9 + 2z
FH = 4(9/2) -9 + 2(9/2)
FH = 18 - 9 + 9
FH = 18
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The test scores for the students in Mr. Miller’s math class are shown here.
52, 61, 69, 76, 82, 84, 85, 90, 94
What is the range of the test scores?
The range of the test scores in Mr. Miller's math class is 42.
What is the range?Mathematically, the range refers to the difference between the highest value and the lowest value in a data set.
The range is computed by subtraction of the lowest value from the highest value.
Mr. Miller can use the range to measure the spread or dispersion of the test scores.
Test Scores:
52, 61, 69, 76, 82, 84, 85, 90, 94
Highest score = 94
Lowest score = 52
Range = 42 (94 - 52)
Thus, we can conclude that for the math students in Mr. Miller's class, the range of their test scores is 42.
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After removing a pizza from the oven we let it cool at room temperature (here 70°F). The pizza's temperature changes from 300°F to 100°F in M minutes (M>0). Assume the pizza's temperature changes continuously at a rate proportional to the difference between the temperature of the pizza and the room. After approximately how many minutes has the pizza reached perfect eating temperature (here 150°F)?
After approximately 60.2 minutes, the pizza will reach a temperature of 150°F.
We can model the cooling of the pizza using Newton's law of cooling:
T(t) = T_room + (T_0 - T_room) e^(-kt)
where T(t) is the temperature of the pizza at time t, T_0 is the initial temperature of the pizza (300°F), T_room is the room temperature (70°F), and k is the cooling rate constant. We can solve for k using the fact that the pizza cools from 300°F to 100°F in M minutes:
100 = 70 + (300 - 70) e^(-kM)
e^(-kM) = 0.1
-kM = ln(0.1)
k = -ln(0.1)/M
Now we want to find the time t when the pizza's temperature is 150°F:
150 = 70 + (300 - 70) e^(-kt)
e^(-kt) = (150 - 70)/(300 - 70)
e^(-kt) = 4/13
-kt = ln(4/13)
t = -ln(4/13)/k
Substituting the expression for k derived earlier, we get:
t = M ln(4/13) / ln(0.1)
For example, if M = 30 (i.e., it takes 30 minutes for the pizza to cool from 300°F to 100°F), then:
t = 30 ln(4/13) / ln(0.1) ≈ 60.2 minutes
Therefore, after approximately 60.2 minutes, the pizza will reach a temperature of 150°F.
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now, max wants to know the probability of taking at least four trials to find the first defective light bulb? show your derivations and round your numeric answer to 3 decimal places.
The probability of taking at least four trials to find the first defective light bulb is 0.073 (rounded to 3 decimal places).
To find the probability of taking at least four trials to find the first defective light bulb, we can use the geometric distribution formula:
P(X >= k) = (1-p)^(k-1) * p
Where X is the number of trials needed to find the first defective light bulb, p is the probability of finding a defective bulb on any given trial, and k is the minimum number of trials required.
In this case, we want to find the probability of taking at least four trials, so k = 4. We also know that the probability of finding a defective bulb on any given trial is 0.1 (since there is a 10% chance of any given bulb being defective). Therefore, we can plug in these values:
P(X >= 4) = (1-0.1)^(4-1) * 0.1
P(X >= 4) = 0.729 * 0.1
P(X >= 4) = 0.0729
So the probability of taking at least four trials to find the first defective light bulb is 0.073 (rounded to 3 decimal places).
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Which graph represents a density curve, and why?
graph A only, because the area under the curve
equals 1, and the curve is above the horizontal axis
graph B only, because the area under the curve
equals 2, and the curve is above the horizontal axis
O both graph A and graph B, because both curves are
above the horizontal axis, and their areas are positive
O neither graph A nor graph B, because, even though
both curves are above the horizontal axis, their areas
are not the same value
The graph is both graph A and graph B, because both curves are above the horizontal axis, and their areas are positive
What is a density curve?Density curves are visuals that demonstrate the probability distribution of a data set.
It is a liquid, uninterrupted line that illustrates the variability of a constant haphazard element - with the entire locality below the curve accounting for 1.
In other words, the region underneath the curve denotes the likelihood of registering a precise or scope of values inside the depth of the grouping.
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in a random sample of 746 individuals being treated in veterans affairs primary care clinics, 86 were determined to have post-traumatic stress disorder (ptsd) by diagnostic interview [242]. what is a point estimate for p, the proportion of individuals with ptsd among the population being treated in veterans affairs primary care clinics? construct and interpret a 95% confidence interval for the population proportion. construct a 99% confidence interval for p. is this interval longer or shorter than the 95% confidence interval? explain. suppose that a prior study had reported the prevalence of ptsd among patients seen in primary care clinics in the general population to be 7%. you would like to know whether the proportion of individuals being treated in veterans affairs primary care clinics who have ptsd is the same. what are the null and alternative hypotheses of the appropriate test? conduct the test at the 0.01 level of significance, using the normal approximation to the binomial distribution. what is the p-value? interpret this p-value in words. do you reject or fail to reject the null hypothesis? what do you conclude? now conduct the test using the exact binomial method of hypothesis testing. do you reach the same conclusion?
This probability is less than the significance level of 0.01, we again reject the null hypothesis.
We can conclude that the exact binomial method leads to the same conclusion as the normal approximation method.
To find the point estimate for p, we divide the number of individuals with PTSD in the sample by the total sample size:
[tex]\hat{p}[/tex] = 86/746
= 0.1154
The point estimate for p is 0.1154 or approximately 11.54%.
To construct a 95% confidence interval for p, we will use the following formula:
[tex]\hat{p}[/tex] [tex]\pm z*\sqrt{(\hat{p} (1-\hat{p})/n)}[/tex]
Where z is the z-score for the desired confidence level (1.96 for 95% confidence), [tex]\hat{p}[/tex] is the point estimate for p,
and n is the sample size.
Substituting the values given in the problem, we get:
0.1154 ± 1.96sqrt(0.1154(1-0.1154)/746)
The 95% confidence interval for p is (0.089, 0.142), meaning that we are 95% confident that the true proportion of individuals with PTSD in the population being treated in Veterans Affairs primary care clinics falls between 8.9% and 14.2%.
To construct a 99% confidence interval for p, we will use the same formula but with a z-score of 2.576 (from a standard normal distribution table).
0.1154 ± 2.576sqrt(0.1154(1-0.1154)/746)
The 99% confidence interval for p is (0.079, 0.152). This interval is wider than the 95% confidence interval because we are more confident that the true proportion falls within this interval.
The null hypothesis for this test is that the proportion of individuals with PTSD among those being treated in Veterans Affairs primary care clinics is equal to 7%, the prevalence reported in the prior study.
The alternative hypothesis is that the proportion is not equal to 7%.
Using the normal approximation to the binomial distribution, we can calculate the test statistic:
z = ([tex]\hat{p}[/tex] - 0.07) / [tex]\sqrt{(0.07 * 0.93 / 746)}[/tex]
Substituting the values, we get:
[tex]z = (0.1154 - 0.07) / \sqrt{(0.07 * 0.93 / 746) } = 3.05[/tex]
The p-value associated with this test statistic is approximately 0.0023. This means that if the true proportion of individuals with PTSD in the population being treated in Veterans Affairs primary care clinics is equal to 7%, we would expect to observe a sample proportion as extreme as 0.1154 in only 0.23% of all possible samples.
Since the p-value is less than the significance level of 0.01, we reject the null hypothesis.
This means that we have evidence to suggest that the proportion of individuals with PTSD among those being treated in Veterans Affairs primary care clinics is different from 7%.
To conduct the test using the exact binomial method, we can use software or a binomial distribution table to calculate the probability of getting 86 or more individuals with PTSD in a sample of 746 if the true proportion is 7%.
Using a binomial distribution table, we find that the probability of getting 86 or more individuals with PTSD out of 746 if the true proportion is 7% is approximately 0.
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2x2 + 7x = 3
x = 0.60 and x = −2.60
x = −0.60 and x = 2.60
x = 0.39 and x = −3.89
x = −0.39 and x = 3.89
Answer:
(c) x = 0.39 and x = -3.89
Step-by-step explanation:
You want the solutions to the quadratic equation ...
2x² +7x = 3.
Root relationsThe roots of the equation ...
x² +bx +c = 0
have a sum of -b and a product of c.
Subtracting 3 and dividing the equation by 2, we have ...
2x² +7x -3 = 0 . . . . . . . . subtract 3
x² +3.5x -1.5 = 0 . . . . . . divide by 2
This tells us the sum of the roots is -3.5.
Answer choice C has that sum: x = 0.39, x = -3.89.
__
Additional comment
The sums of the answer choices are ...
0.60 -2.60 = -2.00
-0.60 +2.60 = 2.00
0.39 -3.89 = -3.50
-0.39 +3.89 = 3.50
Sometimes, checking the offered choices is the simplest way to find the answer.
Here, checking the sum gives the best discriminator of right from wrong. The products are all near -1.5, so that is less helpful.
We can see the relation by considering the factored form:
(x -p)(x -q) = x² -(p+q)x +pq . . . . . . where p and q are the roots
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bradley is weaving a basket for his final project in art class. he wants to wrap a blue ribbon around the circumference of the top of the basket. if the radius of the top of the basket is 8 centimeters, what is the minimum length of ribbon that he needs? express your answer in terms of .
The minimum length of ribbon that Bradley needs is 50.24 cm.
To find the minimum length of ribbon Bradley needs to wrap around the circumference of the top of the basket, we can use the formula for the circumference of a circle, which is C = 2πr, where C is the circumference, r is the radius, and π (pi) is a constant approximately equal to 3.14.
So, for Bradley's basket, the radius is 8 centimeters, and the circumference would be:
C = 2πr = 2π(8) = 16π = 50.24
Therefore, the minimum length of ribbon Bradley needs is 50.24 centimeters. We can leave the answer in terms of π because it is an irrational number and cannot be expressed exactly as a decimal.
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what is 3/8 and 7/8 percent change?
Percentage of change is increase and the percentage of change is 133.3%.
Change in percentage = changed percent × 100 / initial value
3/8 is changed into 7/8.
Change in value = 7/8 - 3/8 = 1/2
Change in percentage = 1/2 / 3/8 × 100
= 133.3%
Hence the percentage of change is increase and the percentage of change is 133.3%.
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the process of using sample statistics to draw conclusions about population parameters is called group of answer choices finding the significance level True/False
The process of using sample statistics to draw conclusions about population parameters is called statistical inference. In statistical inference, we use the information obtained from a sample to make inferences about the characteristics of a larger population.
The sample statistics provide an estimate of the corresponding population parameters, and the goal is to make the most accurate inference possible.
The significance level, also known as alpha, is a pre-determined threshold that is used to determine the level of evidence required to reject the null hypothesis. This threshold is typically set at 0.05 or 0.01, depending on the level of certainty required.
In summary, statistical inference involves using sample statistics to make inferences about population parameters, and the significance level is a critical component of this process as it helps to determine the level of evidence required to reject the null hypothesis.
Statistical inference involves making choices about the sampling method and using collected data from a sample to make conclusions about a larger population. Sample statistics are calculations derived from a subset of the population, while population parameters are the true values for the entire population.
The significance level, typically denoted by α (alpha), is a predetermined threshold used to determine if a result is statistically significant. In hypothesis testing, if the calculated probability (p-value) is less than the significance level, we reject the null hypothesis and conclude that there is a statistically significant difference between the observed sample statistics and the expected population parameters.
In summary, statistical inference is the process of using sample statistics to draw conclusions about population parameters. It involves making choices regarding sampling methods and significance levels. The statement provided is False since statistical inference is not limited to finding the significance level.
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Which parent functions have a range of all real values
There are some trigonometric functions such as tangent, cotangent, secant, and cosecant that have restricted ranges.
Parent functions that have a range of all real values are functions that can take on any possible output value in the real number system.
The functions that have a range of all real values include:
Constant function: f(x) = c, where c is any real number. Since the function is constant, it takes on the same value for every input, and therefore, the range is the set of all real numbers.
Linear function: f(x) = mx + b, where m and b are any real numbers. Since the graph of a linear function is a straight line, and it has a constant slope, the range is the set of all real numbers.
Quadratic function: f(x) = ax[tex]^2 + bx[/tex] + c, where a, b, and c are any real numbers, and a ≠ 0. Since the graph of a quadratic function is a parabola that opens upwards or downwards, and it can go arbitrarily high or low, the range is the set of all real numbers.
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Express the function graphed on the axes below as a piecewise function
please help
The function graphed on the axes above should be expressed as a piecewise function as follows;
f(x) = -3x - 8 {x ≤ -2}
= 6x - 17 {x > 3}
How to determine the piecewise function?In order to determine the piecewise function, we would determine an equation that represent each of line shown on the graph. Therefore, we would determine the slope of this line;
Slope (m) = (y₂ - y₁)/(x₂ - x₁)
Slope (m) = (4 + 2)/(-4 + 2)
Slope (m) = 6/-2
Slope (m) = -3.
At data point (-2, -2) and a slope of -3, a linear equation for this line can be calculated by using the point-slope form as follows:
y - y₁ = m(x - x₁)
y + 2 = -3(x + 2)
y = -3x - 8
For the second line, we have:
Slope (m) = (7 - 1)/(4 - 3)
Slope (m) = 6/1
Slope (m) = 6.
At data point (3, 1) and a slope of 6, a linear equation for this line can be calculated by using the point-slope form as follows:
y - y₁ = m(x - x₁)
y - 1 = 6(x - 3)
y = 6x - 17
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In making a drink, a juice concentrate is mixed with water in the ratio 2:9. There is 120ml of juice concentrate to make the drink. Calculate (a) the amount of water required to make the drink with the 120 ml of juice concentrate,
3x+6y=24 solve for y
Answer:
Solving for y
exact form for y = 4/3
Demical form for y = 1/3
Mixed number for y = 1 1/3
( BTW all of these answers all right it juts depends on what exactly there asking for, for example if there asking for the exact form for y it would be 4/3 )
What is the probability of NOT drawing a face card from a standard deck of 52 cards.
8 over 13
3 over 13
10 over 13
1 half
The probability of NOT drawing a face card from a standard deck of 52 cards is 10 over 13.
First determine the total number of face cards and non-face cards in a standard deck of 52 cards. In a standard deck, there are 12 face cards (3 face cards per suit: Jack, Queen, and King, and 4 suits: Hearts, Diamonds, Clubs, and Spades). This means there are 52 - 12 = 40 non-face cards.
Now, we'll calculate the probability of NOT drawing a face card:
Probability = (Number of favorable outcomes) / (Total number of outcomes)
Probability of NOT drawing a face card = (Number of non-face cards) / (Total number of cards)
Probability = 40 / 52
Simplify the fraction by dividing the numerator and denominator by their greatest common divisor (4):
Probability = (40/4) / (52/4)
Probability = 10 / 13
So, the probability of NOT drawing a face card from a standard deck of 52 cards is 10/13. Your answer: 10 over 13.
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Explain why the graph is misleading
For all three points say the reason and explain what specifically is going on in the graph
The graph is misleading because the y values do not start from the origin
Explaining why the graph is misleadingThe graph represents the given parameter where
The x-axis represent the yearThe y-axis represent the sales per yearExamining the lengths of the bars with the values, we can see that
The y values do not start from the origin
This is because difference between the bars do not show the correct representation
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Over the past month, the Ashland library has loaned out many CDs, which are categorized by genre.
pop 65
rock 10
rap 15
Considering this data, how many of the next 30 CDs loaned out should you expect to be rap CDs?
You would expect have 5 CDs to be rap in the next 30 CDs
How many of the CDs should you expect to be rapFrom the question, we have the following parameters that can be used in our computation:
pop 65
rock 10
rap 15
This means that we have the following proportion
Rap = 15/(65 + 10 + 15)
Evaluate
Rap = 15/90
So, we have
Rap = 1/6
Considering loaning 30 CDs out, we have
Rap = 1/6 * 30
Rap = 5
Hence, the expected values of rap CDs is 5
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what is the factored form of 3x^2+9x=0
Answer:
3x(x + 3) = 0
Step-by-step explanation:
3x² + 9x = 0 ← factor out common factor of 3x from each term on the left
3x(x + 3) = 0 ← factored form
,n > Question 2. (18 marks] If pmf of a random variable is given by 4 f(X=n)= n(n+1)(n+2) a. Show that Ë F(X = n)=1 b. Show that E[x]=2
If pmf of a random variable is given by 4 f(X=n)= n(n+1)(n+2)
the answer to part (a) is:
Ë F(X = n) = 9n(n+1)
What is probability?
Probability is a measure of the likelihood of an event occurring. It is a number between 0 and 1, where 0 means the event is impossible and 1 means the event is certain to happen.
a. To show that the cumulative distribution function (CDF) F(X) satisfies Ë F(X = n)=1, we need to show that the sum of the probabilities of all possible values of X is equal to 1.
The probability mass function (PMF) is given by:
f(X=n) = 4n(n+1)(n+2)
The CDF is defined as:
F(X=n) = P(X ≤ n)
We can calculate F(X=n) by summing up the probabilities of all values less than or equal to n:
F(X=n) = Σ f(X=i), for i = 0 to n
Substituting the given PMF:
F(X=n) = Σ 4i(i+1)(i+2), for i = 0 to n
Expanding the sum:
F(X=n) = 4(0)(1)(2) + 4(1)(2)(3) + 4(2)(3)(4) + ... + 4n(n+1)(n+2)
F(X=n) = 4 [ (0)(1)(2) + (1)(2)(3) + (2)(3)(4) + ... + (n)(n+1)(n+2) ]
Notice that the sum inside the brackets is a telescoping sum, which can be simplified as:
[(k-1)k(k+1) - (k-2)(k-1)k] = 3k(k-1)
Thus,
F(X=n) = 4 [ 3(0)(-1) + 3(1)(0) + 3(2)(1) + ... + 3(n)(n-1) ]
F(X=n) = 4 [ 3(0 + 1 + 2 + ... + (n-1)) ]
F(X=n) = 4 [ 3(n-1)n/2 ]
F(X=n) = 6n² - 6n
Therefore, Ë F(X = n) is given by:
Ë F(X = n) = Σ F(X=n) * P(X=n), for all n
Substituting the given PMF:
Ë F(X = n) = Σ [ 6n² - 6n ] * 4n(n+1)(n+2), for all n
Expanding the sum and simplifying:
Ë F(X = n) = 24 [ (n+2)(n+1)n(n-1)/4 - (n+1)n(n-1)(n-2)/4 ]
Ë F(X = n) = 24 [ (n-1)n(n+1)(n+2)/4 - (n-2)(n-1)n(n+1)/4 ]
Ë F(X = n) = 24 [ (n-1)n(n+1)(n+2) - (n-2)(n-1)n(n+1) ] / 4
Ë F(X = n) = 6n(n+1)(n+2) - 6n(n+1)(n-1) / 4
Ë F(X = n) = 6n(n+1)[ (n+2) - (n-1) ] / 4
Ë F(X = n) = 6n(n+1) * 3 / 4
Ë F(X = n) = 9n(n+1)/2
Substituting n = 0 and n = ∞ to get the bounds of the sum, we get:
E[X] = 2(0)(5(0)+8) / 3 + 2(∞)(∞+1)(5(∞)+8) / 3
Since the second term diverges to infinity, we can conclude that the expected value of X does not exist (i.e., it is undefined).
Therefore, the answer to part (a) is:
Ë F(X = n) = 9n(n+1)/
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If pmf of a random variable is given by 4 f(X=n)= n(n+1)(n+2)
the answer to part (a) is:
Ë F(X = n) = 9n(n+1)
What is probability?Probability is a measure of the likelihood of an event occurring. It is a number between 0 and 1, where 0 means the event is impossible and 1 means the event is certain to happen.
a. To show that the cumulative distribution function (CDF) F(X) satisfies Ë F(X = n)=1, we need to show that the sum of the probabilities of all possible values of X is equal to 1.
The probability mass function (PMF) is given by:
f(X=n) = 4n(n+1)(n+2)
The CDF is defined as:
F(X=n) = P(X ≤ n)
We can calculate F(X=n) by summing up the probabilities of all values less than or equal to n:
F(X=n) = Σ f(X=i), for i = 0 to n
Substituting the given PMF:
F(X=n) = Σ 4i(i+1)(i+2), for i = 0 to n
Expanding the sum:
F(X=n) = 4(0)(1)(2) + 4(1)(2)(3) + 4(2)(3)(4) + ... + 4n(n+1)(n+2)
F(X=n) = 4 [ (0)(1)(2) + (1)(2)(3) + (2)(3)(4) + ... + (n)(n+1)(n+2) ]
Notice that the sum inside the brackets is a telescoping sum, which can be simplified as:
[(k-1)k(k+1) - (k-2)(k-1)k] = 3k(k-1)
Thus,
F(X=n) = 4 [ 3(0)(-1) + 3(1)(0) + 3(2)(1) + ... + 3(n)(n-1) ]
F(X=n) = 4 [ 3(0 + 1 + 2 + ... + (n-1)) ]
F(X=n) = 4 [ 3(n-1)n/2 ]
F(X=n) = 6n² - 6n
Therefore, Ë F(X = n) is given by:
Ë F(X = n) = Σ F(X=n) * P(X=n), for all n
Substituting the given PMF:
Ë F(X = n) = Σ [ 6n² - 6n ] * 4n(n+1)(n+2), for all n
Expanding the sum and simplifying:
Ë F(X = n) = 24 [ (n+2)(n+1)n(n-1)/4 - (n+1)n(n-1)(n-2)/4 ]
Ë F(X = n) = 24 [ (n-1)n(n+1)(n+2)/4 - (n-2)(n-1)n(n+1)/4 ]
Ë F(X = n) = 24 [ (n-1)n(n+1)(n+2) - (n-2)(n-1)n(n+1) ] / 4
Ë F(X = n) = 6n(n+1)(n+2) - 6n(n+1)(n-1) / 4
Ë F(X = n) = 6n(n+1)[ (n+2) - (n-1) ] / 4
Ë F(X = n) = 6n(n+1) * 3 / 4
Ë F(X = n) = 9n(n+1)/2
Substituting n = 0 and n = ∞ to get the bounds of the sum, we get:
E[X] = 2(0)(5(0)+8) / 3 + 2(∞)(∞+1)(5(∞)+8) / 3
Since the second term diverges to infinity, we can conclude that the expected value of X does not exist (i.e., it is undefined).
Therefore, the answer to part (a) is:
Ë F(X = n) = 9n(n+1)/
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Some friends tell you that they paid $13,694 down on a new house and are to pay $811 per month for 30 years. If interest is 4.5% compounded monthly, what was the selling price of the house? How much interest will they pay in 30 years? Selling price of the house: $ (Round to two decimal places as needed.) Total interest paid: $ (Round to two decimal places as needed.)
To calculate the selling price of the house, we can use the formula for a mortgage:
M = P [ i(1 + i)^n ] / [ (1 + i)^n – 1]
Where:
M = monthly payment
P = principal (selling price)
i = interest rate per month (4.5%/12)
n = total number of payments (30 years x 12 months)
We know that the monthly payment is $811 and the total number of payments is 30 years x 12 months = 360 months. So we can solve for the principal:
$811 = P [ (0.045/12) (1 + 0.045/12)^360 ] / [ (1 + 0.045/12)^360 – 1]
$811 = P [ 0.00375 (1 + 0.00375)^360 ] / [ (1 + 0.00375)^360 – 1]
$811 = P [ 0.00375 (3.8113) ] / [ 3.8113 – 1]
$811 = P [ 0.014287 ]
P = $56,732.77
Therefore, the selling price of the house was $56,732.77.
To calculate the total interest paid over 30 years, we can use the formula:
Total interest = (monthly payment x total number of payments) - principal
Total interest = ($811 x 360) - $13,694
Total interest = $292,740 - $13,694
Total interest = $279,046
Therefore, they will pay a total of $279,046 in interest over 30 years.
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What is the exponent in the expression 7 superscript 6?
6
7
13
42
.
Answer:
[tex] {7}^{6} [/tex]
The base is 7, and the exponent is 6.
Jon is looking into a 4250 vacation package that is offered for 25% off. There's a 9% resort fee added on to the total. How much will the vacation cost?
Jon will pay $3476.88 for the vacation package after the 25% discount and 9% resort charge are applied.
If the vacation package is obtainable for 25% off, then Jon will pay 75% of the original price. To discover the price after the discount, we can now multiply the original fee via 0.75:
Discounted charge = 0.75 x $4250 = $3187.50
Next, we need to add the 9% resort charge to the discounted fee. To do that, we are able to do multiply the discounted price by using 1.09:
Total cost = $3187.50 x 1.09 = $3476.88
Therefore, Jon will pay $3476.88 for the vacation package.
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A robin is flying 11 metres away from a bird
box that is on top of a pole.
The angle of depression from the robin to the
base of the pole is 38°.
What is the distance between the robin and
the base of the pole?
Give your answer to 2 d.p.
Not drawn accurately
The distance between the robin and the base of the pole is 6.77 meters
How to determine the valueTo determine the distance, we need to know the different trigonometric identities in mathematics.
These identities are given as;
sinetangentsecantcosinecotangentcosecantFrom the information given, we have that;
The angle of depression, θ = 38 degrees
The distance is unknown
The hypotenuse side is 11 meters
Now, using the sine identity, we have;
sin 38 = d/11
Cross multiply the values
d = 0. 6156(11)
multiply the values
d = 6. 77 meters
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peterhas probability 2/3 of winning each game . peter and paul bet $1 on each game . if peter starts with $3 and paul with $5, what is the probability paul goes broke before peter is broke?
If peter starts with $3 and paul with $5, the probability paul goes broke before peter is broke is 16/81.
Let's first consider the probability that Peter goes broke before Paul. For Peter to go broke, he needs to lose all of his $3 in the first two games. The probability of this happening is:
(2/3)² = 4/9
If Peter goes broke, then Paul has won $2 and has $7 left. Now, the game is between Paul's $7 and Peter's $1. The probability of Paul winning each game is 2/3, so the probability of Paul winning two games in a row is (2/3)² = 4/9. Therefore, the probability of Paul winning two games in a row and going broke before Peter is broke is:
4/9 x 4/9 = 16/81
So the probability that Paul goes broke before Peter is broke is 16/81.
The probability that Peter goes broke before Paul is 4/7.
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2.) Four people are dealt 13 cards each. You (one of the
players) got one ace. What is the probability that your partner has
the other three aces?
The probability that your partner has the other three aces given that you have one ace is approximately 0.000037 or 0.0037%. This is a very low probability, so it is unlikely that your partner has the other three aces.
We can use Bayes' theorem to solve this problem. Let A be the event that your partner has the other three aces, and B be the event that you have one ace. Then we want to find P(A|B), the probability that your partner has the other three aces given that you have one ace.
Using Bayes' theorem, we have:
P(A|B) = P(B|A) * P(A) / P(B)
We know that P(B|A) is 1/3, since your partner must have all three aces if you have one ace. We also know that P(A) is the probability that your partner has all three aces in a randomly dealt hand of 39 cards (52 cards - 13 cards dealt to you), which is:
P(A) = (4/39) * (3/38) * (2/37) = 0.000038
To find P(B), the probability that you have one ace, we can use the law of total probability:
P(B) = P(B|A) * P(A) + P(B|not A) * P(not A)
The probability that you have one ace given that your partner has all three aces is zero, so P(B|not A) is the probability of getting exactly one ace in a hand of 39 cards:
P(B|not A) = (4/39) * (35/38) * (34/37) * (33/36) * ... * (28/16) * (24/15) * (23/14) * (22/13) = 0.03833
where we multiply the probabilities of not getting an ace (35/38, 34/37, etc.) by the probability of getting an ace (4/36) for each card dealt after the first ace.
We also know that P(not A) is the complement of P(A), which is 1 - P(A).
Putting it all together, we have:
P(A|B) = (1/3) * (0.000038) / [ (1/3) * (0.000038) + (2/3) * (0.03833) ]
Simplifying, we get:
P(A|B) = 0.000037
So the probability that your partner has the other three aces given that you have one ace is approximately 0.000037 or 0.0037%. This is a very low probability, so it is unlikely that your partner has the other three aces.
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Use calculus to find the area a of the triangle with the given vertices. (0, 0), (3, 2), (1, 6)
The area of the triangle with the given vertices is approximately 13.95 square units.
To find the area of the triangle with the given vertices, we can use calculus to calculate the magnitude of the cross-product of two of its sides. Specifically, we can use the vectors formed by two pairs of vertices and take their cross-product to find the area.
Let's choose the vectors formed by the points (0,0) and (3,2) as well as (0,0) and (1,6). We'll call these vectors u and v, respectively:
u = <3, 2>
v = <1, 6>
To take the cross product of these vectors, we can use the formula:
|u x v| = |u| |v| sin(theta)
where |u| and |v| are the magnitudes of the vectors, and theta is the angle between them.
To find the angle between u and v, we can use the dot product formula:
u · v = |u| |v| cos(theta)
Solving for cos(theta), we get:
[tex]$\cos(\theta) = \frac{\mathbf{u} \cdot \mathbf{v}}{\lvert\mathbf{u}\rvert \lvert\mathbf{v}\rvert} = \frac{(3 \cdot 1) + (2 \cdot 6)}{\sqrt{3^2 + 2^2} \sqrt{1^2 + 6^2}} = \frac{21}{\sqrt{13} \sqrt{37}}$[/tex]
We can then use the Pythagorean identity to find sin(theta):
[tex]$\sin(\theta) = \sqrt{1 - \cos^2(\theta)} = \sqrt{1 - \left(\frac{21}{\sqrt{13}\sqrt{37}}\right)^2}$[/tex]
Finally, we can plug in the values we've found to the formula for the magnitude of the cross-product:
[tex]$\lvert\mathbf{u} \times \mathbf{v}\rvert = \lvert\mathbf{u}\rvert \lvert\mathbf{v}\rvert \sin(\theta) = \sqrt{3^2 + 2^2} \sqrt{1^2 + 6^2} \sqrt{1 - \left(\frac{21}{\sqrt{13}\sqrt{37}}\right)^2}$[/tex]
Evaluating this expression gives us the area of the triangle:
[tex]$\lvert\mathbf{u} \times \mathbf{v}\rvert = 9 \sqrt{37} \sqrt{1 - \left(\frac{21}{\sqrt{13}\sqrt{37}}\right)^2} \approx 13.95$[/tex]
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Use the table of random numbers to simulate the situation.
On an average, 25% of households will purchase a raffle ticket from a student. Estimate the probability that no more than 3 of the next 10 households that a student visits will purchase a raffle ticket.
The probability that 3 of the next 10 households that a student visits will purchase a raffle ticket is 25%
Finding the probability of exactly threeFrom the question, we have the following parameters that can be used in our computation:
Binomial experiment Probability of success is 25%Number of trials = 10The probability is calculated as
P(x) = nCx * p^x * (1 - p)^(n -x)
Where
n = 10
p = 25%
x = 3
Substitute the known values in the above equation, so, we have the following representation
P(3) = 10C3 * (25%)^3 * (1 - 25%)^(10 -3)
Evaluate
P(3) = 0.25
Hence, the probability value is 25%
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b. What is the probability the computer produces the first letter of your first name?
And your first name starts with a T
The value of probability to get the first letter will be always be, 1 / 26.
Given that;
A computer randomly selects a letter from the alphabet.
Now, The probability the computer produces the first letter of your first name :
Here, the required outcome is getting the first letter of your first name.
Probability = No. of required outcomes / total no. of outcomes.
For example, The name Alex Davis has the first letter of the fist name as alphabet 'A'.
Hence, Probability = 1 / 26
Similarly, for any first name there is going to be any one alphabet from the 26 alphabets, thus the probability to get the first letter will be always be, 1 / 26.
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