Question

A population parameter has a normal distribution and has a mean of 45 and variance of...

A population parameter has a normal distribution and has a mean of 45 and variance of 15. From
this population a sample is selected with a size of 19 and the variance of the sample is 17. Does
this sample support the population variance? Evaluate.

Homework Answers

Answer #1

Solution:

Here, we have to use Chi square test for the population variance or standard deviation.

The null and alternative hypotheses for this test are given as below:

H0: σ2 = 15 versus Ha: σ2 ≠ 15

This is a tailed test.

The test statistic formula is given as below:

Chi-square = (n – 1)*S^2/ σ2

From given data, we have

n = 19

S^2 = 17

σ2 = 15

Chi-square =(19 - 1)*17/15

Chi-square = 20.3999

We are given

Level of significance = α = 0.05

df = n – 1

df = 18

P-value = 0.3108

(by using Chi square table or excel)

P-value > α = 0.05

So, we do not reject the null hypothesis

There is sufficient evidence to conclude that the population variance is

The sample supports the population variance.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A population has a normal distribution. A sample of size n is selected from this population....
A population has a normal distribution. A sample of size n is selected from this population. Describe the shape of the sampling distribution of the sample mean for the following case. n=18
In which of the following scenarios can we assume a Normal distribution for the sample mean?...
In which of the following scenarios can we assume a Normal distribution for the sample mean? a. Sample of size 2 comes from a population with normal distribution (known variance) b. Sample of size 10 comes from a population with normal distribution (unknown variance) c. Sample of size 300 comes from a population with some unknown distribution d. Sample of size 15 comes from a population with some unknown distribution
The distribution of the commute times for the employees at a large company has mean 22.4...
The distribution of the commute times for the employees at a large company has mean 22.4 minutes and standard deviation 6.8 minutes. A random sample of n employees will be selected and their commute times will be recorded. What is true about the sampling distribution of the sample mean as n increases from 2 to 10 ? The mean increases, and the variance increases. A The mean increases, and the variance decreases. B The mean does not change, and the...
Population 1 has a mean of 20 and a variance of 100. Population 2 has a...
Population 1 has a mean of 20 and a variance of 100. Population 2 has a mean of 15 and a variance of 64. You sample 20 objects from Population 1 and 16 objects from Population-2. What is the mean and the variance of the sampling distribution of the difference between population means (Pop.1 – Pop.2); respectively? 5 and 2 5 and 9 5 and 3 None of the above
1. A sampling distribution of the mean has a mean  μ  X̄ =45 μ  X̄ =45 and a standard...
1. A sampling distribution of the mean has a mean  μ  X̄ =45 μ  X̄ =45 and a standard error  σ  X̄ =7 σ  X̄ =7 based on a random sample of n=15.n=15. a. What is the population mean? b. What is the population standard deviation? Round to two decimal places if necessary 2. If it is appropriate to do so, use the normal approximation to the  p^  p^ -distribution to calculate the indicated probability: Standard Normal Distribution Table n=80,p=0.715n=80,p=0.715 P( p̂  > 0.75)P( p̂  > 0.75) = Enter 0...
Question: Eleven: (a) In a sample of 16 observations from a normal distribution with mean 150...
Question: Eleven: (a) In a sample of 16 observations from a normal distribution with mean 150 and variance of 256. Find the following probabilities i. Ρ ( Χ ≤160) ii. Ρ ( Χ ≥142) (b) The age of employees in a company follows a normal distribution with its mean and variance as 40 years and 121 years, respectively. If a random sample of 36 employees is taken from a normal population of size 1000, what is the probability that the...
For each of the following scenarios, state whether the normal distribution may be used and justify...
For each of the following scenarios, state whether the normal distribution may be used and justify your answer. If the normal distribution can't be used, state which distribution should be used instead. a. A random sample of size 15 is taken from a normal population with standard deviation 5. Find the probability that the sample mean is greater than 28. b. A random sample of size 15 is taken from a normal population with standard deviation 5. Find the probability...
Suppose x has a normal distribution with mean μ = 45 and standard deviation σ =...
Suppose x has a normal distribution with mean μ = 45 and standard deviation σ = 10. Describe the distribution of x values for sample size n = 4. (Round σx to two decimal places.) μx = σx = Describe the distribution of x values for sample size n = 16. (Round σx to two decimal places.) μx = σx = Describe the distribution of x values for sample size n = 100. (Round σx to two decimal places.) μx...
A population of values has a normal distribution with ?=64.8 and ?=44.8. You intend to draw...
A population of values has a normal distribution with ?=64.8 and ?=44.8. You intend to draw a random sample of size n=15. Find the probability that a single randomly selected value is greater than 76.4. P(X > 76.4) = Find the probability that a sample of size n=15 is randomly selected with a mean greater than 76.4. P(M > 76.4) = Enter your answers as numbers accurate to 4 decimal places. Answers obtained using exact z-scores or z-scores rounded to...
A population is normal with a variance of 36. Suppose you wish to estimate the population...
A population is normal with a variance of 36. Suppose you wish to estimate the population mean m. Find the sample size needed to assure with 95% confidence that the sample mean will not differ from the population mean by more than 4 units.