What is the LMC of 3,

We will need to place three tablets of hydroxyzine 10 mg in Mrs. Stevens' med cart drawer for a 24-hour supply because her prescriber has instructed her to take it every eight hours.

Mrs. Stevens will need to take 10 mg of hydroxyzine three times per day (every eight hours) to comply with the prescription. We will need to figure out how many tablets of hydroxyzine 10 mg she will need for those three daily doses because we need to fill the drawer for 24 hours.

We will require a total of 30 mg per day for three doses, each of which contains 10 mg. Since we are filling it for 24 hours, that means we will need

for the entire day. There are 10 mg of hydroxyzine in each tablet., therefore,

However, as we are only using the drawer for three doses, we will require three 10 mg hydroxyzine tablets.

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The correct option is c: 46lb x (16 oz / 1lb). Thus, amount of medicine given for the weight of dog in ounce is 736 ounce.

The same attribute is expressed using a unit conversion, but in a different measurement unit. For example say, time can be mentioned in minutes rather than hours, and distance can be expressed in kilometres, feet, or any other measurement unit instead of miles.

Measurements are frequently offered in one set of measurements, like feet, but are required in another set, like chains. A conversion factor is a mathematical equation that facilitates an equal exchange of feet for chains.

Given data:

ratio of ounces to pounds = 16:1

16 ounce / 1 pound

Let the weight of dog in ounce be 'x'.

weight of dog in pounds = 46 pounds.

ratio : x ounce /  46 pounds

Equating both ratios:

16 ounce / 1 pound = x ounce /  46 pounds

Cross multiplying:

x = 16*46  ounce

x = 736 ounce

The correct option is c: 46lb x (16 oz / 1lb)

Thus, amount of medicine given for the weight of dog in ounce is 736 ounce.

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Complete question is-

The ratio of ounces to pounds is 16:1. A veterinarian is treating a dog that weighs 46 pounds. To calculate the correct amount of medicine, the vet must convert the dog's weight

ounces. Which ratio shows the conversion to ounces?

The full question is attached.

To compare the balances of the two accounts, we need to calculate the future value of each account after 48 months.

For Isla's account with simple interest, the interest earned every year is:

$800 x 0.05 = $40

After 48 months (4 years), the interest earned is:

$40 x 4 = $160

So the balance of Isla's account after 48 months is:

$800 + $160 = $960

For Aven's account with compound interest, we can use the formula:

A = P(1 + r/n)^(nt)

where A is the future value, P is the principal (initial deposit), r is the annual interest rate (as a decimal), n is the number of times the interest is compounded per year, and t is the time in years.

For Aven's account, P = $750, r = 0.07, n = 1 (compounded annually), and t = 4. Plugging these values into the formula, we get:

A = $750(1 + 0.07/1)^(1 x 4) = $1039.14

Therefore, the statement "Aven's account will have a higher balance than Isla's account at the end of 48 months" is true.

Answer:

To factor 4x³-10x²-14x, we can first factor out the greatest common factor, which is 2x:

4x³-10x²-14x = 2x(2x² - 5x - 7)

Next, we can factor the quadratic expression 2x² - 5x - 7 using either factoring by grouping, completing the square, or the quadratic formula. Here, we'll use factoring by grouping:

2x² - 5x - 7 = 2x² - 7x + 2x - 7

= (2x² - 7x) + (2x - 7)

= x(2x - 7) + (2x - 7)

= (2x - 7)(x + 1)

Therefore, the factored form of 4x³-10x²-14x is:

4x³-10x²-14x = 2x(2x - 7)(x + 1)

Answer:

[tex]\frac{32}{15}[/tex]

Step-by-step explanation:

afternoon=[tex]\frac{21}{3}[/tex] +[tex]\frac{11}{5}[/tex]

L.C.M=15

[tex]\frac{21+11}{15}[/tex]

[tex]\frac{32}{15}[/tex]

Answer: 60%

Step-by-step explanation:

As mentioned earlier, we need to know the number of senior nutrition majors and sophomore non-nutrition majors to calculate the exact probability. Without this information, we cannot provide a specific answer to the question.

However, we can provide a general formula for computing the probability, assuming that the selections are made without replacement and the population of students is large enough to assume independence:

Probability of selecting a senior nutrition major and then a sophomore non-nutrition major = (Number of senior nutrition majors / Total number of students) × (Number of sophomore non-nutrition majors / (Total number of students - 1))

Once we have the values for the number of senior nutrition majors and sophomore non-nutrition majors, we can substitute them into this formula to obtain the probability, which will be a decimal number rounded to four decimal places.

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Answer:

A:1,142 miles.

B; 187.30

C; 4

1.746 is the critical t value that corresponds to 90% confidence.

To find the critical t-value that corresponds to 90% confidence with 16 degrees of freedom, follow these steps:
1. Determine the desired confidence level: 90%
2. Calculate the corresponding significance level (alpha) by subtracting the confidence level from 100%: 100% - 90% = 10%
3. Divide the significance level by 2 to get the value for a two-tailed test: 10% / 2 = 5%
4. Look up the critical t-value in a t-distribution table using the degrees of freedom (16) and the 5% value.

From the t-distribution table, the critical t-value for 16 degrees of freedom and 90% confidence is approximately 1.746.

So, the CRITICAL T VALUE that corresponds to a 90% CONFIDENCE level with 16 DEGREES FREEDOM is 1.746, rounded to three decimal places.

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There are a few different reasons why certain categorical variables may not be allowed in a linear regression model:

Some software packages require categorical variables to be converted to numerical variables before they can be included in a linear regression model. This is typically done using one-hot encoding, where each category is represented by a binary variable indicating whether or not it is present.

If the number of categories for a given variable is very large, this can create a very large number of new variables, which may exceed the capacity of the software or the memory available on the computer running the analysis.

Some software packages may not allow categorical variables with a very large number of categories, again because of the potential computational demands of encoding these variables as binary variables.

If a categorical variable has a large number of categories relative to the sample size, it may not be possible to estimate the coefficients for each category with enough precision to be useful. Some software packages may not allow categorical variables with missing values, unless those missing values are explicitly coded as a category.

Overall, the decision to include or exclude categorical variables from a linear regression model will depend on a variety of factors, including the number of categories, the software being used, the size of the dataset, and the research question being addressed.

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382 students

To estimate the mean change in SAT scores to within 2 points with 95% confidence, you would need a sample of at least 382 high school students. This is because the margin of error (2 points) must be smaller than the standard deviation (50 points). Thus, we use the formula margin of error = (z-score) x (standard deviation/√n), where n is the sample size, to calculate the required sample size. Solving for n yields 382 students.

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If Rachana randomly selects two mugs from the set, the probability that she gets two different mugs is 0.1556 or 15.56%.

To solve this problem, we can use the concept of combinations. Since there are 10 mugs in the set, there are 10 choose 2 = 45 ways to select two mugs without considering order.

Out of these 45 ways, we need to count the number of ways Rachana can select two different mugs. Since there are 3 different types of mugs, Rachana can choose any one of the three types for the first mug. There are 10 mugs in the set, out of which 3 belong to the chosen type. Therefore, the probability of choosing a mug of the chosen type is 3/10.

For the second mug, Rachana can choose from the remaining 9 mugs. Since she needs to choose a different type of mug, she can choose any one of the 2 remaining types. There are 7 mugs left from the other 2 types. Therefore, the probability of choosing a mug of a different type is (7/9) * 2/3 = 14/27.

Therefore, the probability of selecting two different mugs is the product of the probabilities of selecting a mug of the chosen type and a mug of a different type. This is given by (3/10) * (14/27) = 7/45, which is approximately 0.1556 or 15.56%.

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Complete question is:

Rachana has a set of ten mugs the set up is made of 3 different mugs. If Rachana randomly selects two mugs from the set, what is the probability that she gets two different mugs?

The number of nickels Bill has is 10.

Therefore, Bill has 10 nickels and 30 dimes.

The given question is as follows.

Bill has a collection of 40 nickels and dimes.

Together, they add up to $3.50.

Bill have of each coin :

To solve the given problem, let's consider the following steps.

Step 1: Let x be the number of nickels and y be the number of dimes.

Based on the given data, we can form the following two equations:

x + y = 40 ... (1) (because Bill has 40 nickels and dimes)

0.05x + 0.10y = 3.50 ... (2) (because the sum of 40 nickels and dimes is $3.50)

Step 2: Solve the equations (1) and (2) by elimination method by multiplying equation (1) with 0.05 and subtracting it from equation (2).

0.05x + 0.05y = 2 ... (3)0.05x + 0.10y = 3.50 ... (4)

Subtracting equation (3) from equation (4),

we get0.05y = 1.50

Dividing both sides by 0.05, we get

y = 30

Therefore, the number of dimes Bill has is 30.

Step 3: Now, substitute the value of y in equation (1), we get

x + 30 = 40

Subtracting 30 from both sides, we get x = 10.

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If the explained sum of squares is 35 and the total sum of squares is 49, then the residual sum of squares is 14.

The total sum of squares is a measure of the total variability in a dataset. It is the sum of the squared differences between the mean of the dataset and each individual data point. The explained sum of squares is the sum of the squared differences between the predicted value of a regression line and the mean of the dataset.

The residual sum of squares is the sum of the squared differences between the predicted value of the regression line and the actual data points. It is the amount of variability in a dataset that is not explained by the regression line.To calculate the residual sum of squares for the given example, we start with the total sum of squares.

The total sum of squares is the sum of the squared differences between the mean of the dataset and each individual data point. The mean of the dataset is calculated by summing all the values and then dividing by the number of data points.

The total sum of squares is then the sum of the squared differences between the mean of the dataset and each individual data point. For the given example, the total sum of squares is 49.

The explained sum of squares is the sum of the squared differences between the predicted value of the regression line and the mean of the dataset. The predicted value of the regression line can be found using the regression equation. The explained sum of squares for the given example is 35.

The RSS is then the difference between the TSS and the explained sum of squares. For the given example, the RSS is 49 - 35 = 14.

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a) The probability that during next second the number of alpha particales omitted from 1 gram is at most 6 is 0.998.

b) The probability that during next second the number of alpha particales omitted from 1 gram is at least 2 is 0.985.

c) The probability that during next second the number of alpha particales omitted from 1 gram is at least 3 and at most 6 is 0.679.

This problem is an application of the Poisson distribution, which is commonly used to model the number of events occurring in a fixed interval of time. In this case, we are interested in the number of alpha particles emitted by 1 gram of the radioactive element in one second.

The average rate of emission is given as 3.9 alpha particles per second. This means that the mean or expected number of alpha particles emitted by 1 gram of the element in one second is also 3.9.

(a) To find the probability that at most 6 alpha particles are emitted from 1 gram of the element in one second, we can use the Poisson distribution with λ=3.9 and x=0, 1, 2, 3, 4, 5, or 6.

The probability is given by the cumulative distribution function (CDF) of the Poisson distribution, which can be calculated using software or a table. For example, using a Poisson table or calculator, the probability is approximately 0.998.

(b) To find the probability that at least 2 alpha particles are emitted, we can use the complementary probability: P(at least 2) = 1 - P(none or 1). Using the Poisson distribution with λ=3.9 and x=0 or 1, we find P(none or 1) = 0.015. Therefore, P(at least 2) = 1 - 0.015 = 0.985.

(c) To find the probability that at least 3 and at most 6 alpha particles are emitted, we need to add the probabilities for x=3, 4, 5, and 6. Using the Poisson distribution with λ=3.9, we can calculate P(x=3) = 0.089, P(x=4) = 0.172, P(x=5) = 0.212, and P(x=6) = 0.206. Therefore, the probability is approximately 0.679.

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The cost of one avacado is equal to 0.5$ and it is found by the use of division method.

One of the four fundamental mathematical operations, along with addition, subtraction, and multiplication, is division. an a person who knows what I mean by just calling it what they do when they just want to go to the store. Just call it what they call it, whatever ites. Really, whatever it is, these are the same people. It is a mathematical operation used for equal distribution and equal grouping.
One of the fundamental mathematical operations is division, which involves breaking a larger number into smaller groups with the same number of items.
We are given the cost of 8 avacados= $4.

The cost of 1 avacado= 1/8 * 4 = 1/2 = 0.5.

Hence, the cost of one avacado is equal to $0.5.

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Answer:

123,000,000 as a multiple of a power of 10 is

1.23 x 10⁸ .

The inequality to determine how much more money he needs to save so he can buy the shoes is x ≥ $45

Let x be the amount of money Jordan still needs to save to buy the shoes.

The total cost of the shoes is $75, and Jordan has already saved $30. Therefore, the amount of money he still needs to save is:

x = $75 - $30

Simplifying the right side:

x = $45

So, the inequality that represents how much more money Jordan needs to save is:

x ≥ $45

This means that Jordan needs to save at least $45 more to be able to buy the shoes.

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Answer:

The cost price of each shirt is $8.

They mark up the shirts 25%, which means they increase the price by (25/100) * $8 = $2.

So, the selling price of each shirt becomes $8 + $2 = $10.

At the end of the year, they sell the shirts for 25% off, which means they reduce the price by (25/100) * $10 = $2.50.

Therefore, the selling price of each shirt after the discount becomes $10 - $2.50 = $7.50.

The profit made on each shirt sold at the end of the year is the difference between the selling price and the cost price, which is $7.50 - $8 = -$0.50.

Since the profit is negative, it means that the Spirit Club is making a loss of $0.50 on each shirt sold at the end of the year.

The solution of the system of equations are (7,-5).

The system of equations:

2x + 6y = -16 and  -6x - 3y = -27

2x + 6y = -16

Divide by 2

x + 3y = -8  ..eq 1

-6x - 3y = -27 ..eq 2

Use elimination method.

Add eq 1 from 2

x + 3y -6x -3y = -8 - 27

-5x = -35

x = 7

3y = -8 - 7

y = -15/3

y = -5

Thus, the solution of the  system of equations are (7, -5).

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Answer:

................

Step-by-step explanation:

.................

Answer: 3/2

Step-by-step explanation:

To find the slope of the line that passes through the points (2, 1) and (0, -2), we can use the formula:

m = (y2 - y1) / (x2 - x1)

where:

m = slope of the line

(x1, y1) = coordinates of the first point

(x2, y2) = coordinates of the second point

Plugging in the values we have, we get:

m = (-2 - 1) / (0 - 2)

m = -3 / -2

m = 3/2

Therefore, the slope of the line that passes through the points (2, 1) and (0, -2) is 3/2.

If your grade is 88 but you have a test that counts for 25 percent of your total grade and you get an 80, your grade will be 86.

Test scores are an essential aspect of an educational system. Teachers use them to evaluate how well students have grasped concepts or learned material from a class or course. They help in establishing the academic strength and weaknesses of the student.

The test score you got is 80, which makes 25% of the total grade you can have for this course. This means that 0.25*80 = 20 marks will be added to your final grade. Your previous grade was 88, which will not be counted with the test marks.

Hence the marks you will have for the final grade will be 88 + 20 = 108. Divide this number by 1.25 (as 25% is equivalent to 0.25), which results in 86.4. You can round it off to the nearest integer, which is 86.

Therefore, your final grade will be 86.

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Answer:Graph attached below. : Given : Juan spent 10 minutes on his history homework and 3 minutes per question on his math homeworkWe have to plot the graph that shows the total homework time, t, related to the number of math questions, q.Since, t denotes  the total homework time taken by Juanand q denotes the number of math questions done by JuanThen we can represent the situation using a linear equation.Since he spent 10 minutes on his history homework and 3 minutes per question on his math homework.Then q questions take 3q timeand 10 minutes are fixed so, Total time is given by equation t = 10 + 3qAnd graph for the equation is attached below.

Step-by-step explanation:

Answer: Its A (the one all the way to the left)

explanation: Just guessed

Answer:

G (-3,-1)

H (-2,-3)

I (1,1)

Step-by-step explanation:

After a reflection across y=2, the y-coordinates of the vertices will change sign while the x-coordinates remain the same. Thus, the new coordinates of the vertices will be:

G (-3,-1)

H (-2,-3)

I (1,1)

Answer:

G (3,3) , H (2,5), I (-1,1)

Step-by-step explanation:

Since it’s flipped over the Y-Axis, the X-Axis numbers remain the same.

WRONG!!

didnt read the question correctly, so the vertices are incorrect lol.

The probability of x being exactly 48 when it is uniformly distributed between 45 and 150 is 1/105

Since x is uniformly distributed between 45 and 150, the probability of x taking any particular value in this range is the same. Let this probability be denoted by P(x).

To find P(x = 48), we need to first check if 48 lies within the range of values that x can take. In this case, 48 lies within the range of 45 and 150, so it is a possible value for x.

Since the distribution is uniform, the probability of x taking any particular value between 45 and 150 is given by

P(x) = 1 / (150 - 45) = 1 / 105

Therefore, the probability of x being exactly 48 is

P(x = 48) = 1 / 105

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The given question is incomplete, the complete question is:

A random variable x is uniformly distributed between 45 and 150. what is the probability of x = 48?

The quantity cosecant squared of theta minus 1 can be simplified as 1/(cosecθ)² - 1. So, the correct answer is -1/tanθ.

Cosecant, denoted as csc, is a trigonometric function that is the reciprocal of the sine function. It is the ratio of the side opposite the angle over the hypotenuse in a right triangle.

This can be further simplified by multiplying the numerator and denominator of the fraction by the cosecant of theta to get the expression 1 - cosec²θ/cosecθ.

Rearranging this expression gives -cosec²θ/cosecθ.

The cosecant of theta can be further simplified by using the identity cosecθ = 1/sinθ.

Substituting this into the expression gives -1/sin2θ.

The sine of theta can then be further simplified by using the identity

sinθ = 1/tanθ.

Substituting this into the expression gives -1/tan²θ.

Finally, using the identity tan²θ = tanθ/1 simplifies the expression to -1/tanθ.

Therefore, the correct answer is -1/tanθ.

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Question:

The expression the quantity cosecant squared of theta minus 1 end quantity over cotangent of theta simplifies to which of the following?

A. 1

B. 0

C. -cotθ

D. -1/tanθ

Answer: The correct answer is "Fail to reject the null hypothesis. There is not enough evidence to oppose the company's claim."

Step-by-step explanation:

I took the test

The probability of selecting a sample of 5 lightbulbs without any defective bulbs is then given by p^5, where p is the probability of not having a defective bulb.

In this situation, the probability of selecting a sample of 5 lightbulbs without any defective bulbs is calculated using the binomial distribution. The probability of success, p, is the probability that a single lightbulb is not defective, and the probability of failure, q, is the probability that a single lightbulb is defective. The probability of selecting 5 lightbulbs with no defective bulbs is then given by the equation:

P(x=0) = (p^5)*(q^0) = p^5

In this case, p is the probability of not having a defective bulb, and q is the probability of having a defective bulb. The probability of selecting 5 lightbulbs without any defective bulbs is then given by p^5.

For example, if the probability of not having a defective bulb is 0.95 and the probability of having a defective bulb is 0.05, then the probability of selecting a sample of 5 lightbulbs without any defective bulbs is 0.95^5 = 0.7737. This means that there is a 77.37% chance of selecting a sample of 5 lightbulbs without any defective bulbs.

To sum up, the probability of selecting a sample of 5 lightbulbs without any defective bulbs is calculated using the binomial distribution. The probability of success is the probability of not having a defective bulb, and the probability of failure is the probability of having a defective bulb. The probability of selecting a sample of 5 lightbulbs without any defective bulbs is then given by p^5, where p is the probability of not having a defective bulb.

The correct question is:

A box contains 100 bulbs, out of which 10 are defective. If a sample of 5 lightbulbs is selected, find the probability that none in the sample are defective

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Answer:

The equation 3^4 x 2^3 = 6^4+3 is incorrect.

To evaluate the left side of the equation, we first simplify each term using exponent rules:

3^4 = 3 x 3 x 3 x 3 = 81

2^3 = 2 x 2 x 2 = 8

So 3^4 x 2^3 = 81 x 8 = 648

To evaluate the right side of the equation, we simplify the exponent first:

6^4+3 = 6^4 x 6^3 = 1296 x 216 = 279936

Therefore, the corrected equation should be:

3^4 x 2^3 = 648 = 6^4 - 288

Notice that 6^4 - 288 is equal to the original value of 279936, but the equation has been written correctly by moving the 3 to the other side of the equation and changing the operation from addition to subtraction.

The artifact was made about 3102.5 years ago.

An artifact from an ancient tomb contains 70% of the carbon-14 that is present in living trees, how long ago was the artifact made?

Carbon dating is used to estimate the age of organic materials, and it is used to determine the age of an artifact in this situation. The method used to estimate the age of an artifact based on its carbon-14 content is known as carbon dating. Carbon-14 has a half-life of 5,730 years. As a result, the amount of carbon-14 present in an object can be used to determine how long it has been since the object was last in contact with the atmosphere, and therefore how long it has been since it was alive.

Let C0 be the amount of carbon-14 present in living trees and C1 be the amount of carbon-14 present in the wooden artifact. After 5,730 years, C1 will have decayed to 1/2 of C0. After 2(5,730) = 11,460 years, C1 will have decayed to 1/4 of C0. After 3(5,730) = 17,190 years, C1 will have decayed to 1/8 of C0. After 4(5,730) = 22,920 years, C1 will have decayed to 1/16 of C0. After 5(5,730) = 28,650 years, C1 will have decayed to 1/32 of C0.

We'll have to solve the following equation to find the age of the artifact.

C1 = (70/100) * C0

Substitute the value of C0 into the equation and solve for t,

t = ln(0.7) / ln(1/2) = 3102.5 years

The artifact was made about 3102.5 years ago.

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