Question

1. The Richardson marketing research firm asks you, the analyst, to examine whether the sample of...

1. The Richardson marketing research firm asks you, the analyst, to examine whether the sample of 100 satisfaction ratings provide evidence to support the claim that the population mean u exceeds 50.

(a) How is the sample distributed? Why?

(b) Assume the population mean u=50, x is all the possible sample means, calculate the mean u(x) for all the possible sample means.

(c) Assume the population standard deviation sigma=3.35, x is all the possible sample means, calculate the standard deviation sigma(x) for all the possible sample means.

(d) Based on 1b and 1c above, what is the probability of observing a sample mean above 50.99?

(e) If u=50, what is the percentage for all the possible sample means to be above 50.99? What is your conclusion about this percentage?

Sample means x
u= n= sigma=
sigma(x)=sigma/sqrt(n)
P(X>) norm.dist

Homework Answers

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
The Richardson marketing research firm asks you, the analyst, to examine whether the sample of 100...
The Richardson marketing research firm asks you, the analyst, to examine whether the sample of 100 satisfaction ratings provide evidence to support the claim that the population mean u exceeds 50. (a) How is the sample distributed? Why? (b) Assume the population mean u=50, x is all the possible sample means, calculate the mean u(x) for all the possible sample means. (c) Assume the population standard deviation sigma=3.35, x is all the possible sample means, calculate the standard deviation sigma(x)...
The Richardson marketing research firm asks you, the analyst, to examine whether the sample of 100...
The Richardson marketing research firm asks you, the analyst, to examine whether the sample of 100 satisfaction ratings provide evidence to support the claim that the population mean u exceeds 50. (a) How is the sample distributed? Why? (b) Assume the population mean u=50, x is all the possible sample means, calculate the mean u(x) for all the possible sample means. (c) Assume the population standard deviation sigma=3.35, x is all the possible sample means, calculate the standard deviation sigma(x)...
A 90% confidence interval for mu, the population mean: A. Always contains x-bar, the sample mean...
A 90% confidence interval for mu, the population mean: A. Always contains x-bar, the sample mean B. Is created by a process that will yield an interval that does not contain mu 10% of the time C. Is wider if s, the sample standard deviation, is used than if sigma, the population standard deviation, is known and used D. All of the above
Suppose that you are interested in estimating the average number of miles per gallon of gasoline...
Suppose that you are interested in estimating the average number of miles per gallon of gasoline your car can get. You calculate the miles per gallon for each of the next ten times you fill the tank. Suppose that in truth, the values for your car are bell-shaped, with a mean of 25 miles per gallon and a standard deviation of 1. Find the possible sample means you are likely to get based on your sample of ten observations. Consider...
Consider a scenario where you have two samples. Sample 1 contains 50 observations, has the sample...
Consider a scenario where you have two samples. Sample 1 contains 50 observations, has the sample average value of 38 and the sample standard deviation of 2.5. Sample 2 contains 50 observations, has the sample average of 39 and the sample standard deviation of 2.0. Based on this information, please conduct a 95% significance test for the equality of the two population means. Note that we don’t know the population standard deviations but we CAN assume that they are equal....
Using the simple random sample of weights of women from a data​ set, we obtain these...
Using the simple random sample of weights of women from a data​ set, we obtain these sample​ statistics: n equals 35 and x overbar equals 147.88 lb. Research from other sources suggests that the population of weights of women has a standard deviation given by sigma equals 31.64 lb. a. Find the best point estimate of the mean weight of all women. b. Find a 90​% confidence interval estimate of the mean weight of all women. a. The best point...
Please show all work with explanations. Assume that you have a box with an equal number...
Please show all work with explanations. Assume that you have a box with an equal number of $4, $6, $8 chips. a. Find the population mean and the standard deviation. b. Taking samples of size n = 2, find the mean of the sample means and the standard deviation of the sample means. c. Explain the relationships between the different means and the different standard deviations. d. Above what value is the top 15.87% of the sample means? e. Between...
If you drew a random sample of size 40 from a population of students having a...
If you drew a random sample of size 40 from a population of students having a mean (μ) Math Achievement Test score of 200 and a standard deviation (σ) of 20 1.What would be the average of all the sample Math Aptitude means you could have obtained for samples of size 40? Mx= ? 2.Not all your possible sample averages would have been the same. What would be their “standard” distance from the population average of 200? σx= ? 3.If...
Using the simple random sample of weights of women from a data​ set, we obtain these...
Using the simple random sample of weights of women from a data​ set, we obtain these sample​ statistics: n=35 and x=147.73 lb. Research from other sources suggests that the population of weights of women has a standard deviation given by sigma=30.06 lb. a. Find the best point estimate of the mean weight of all women. b. Find a 90​% confidence interval estimate of the mean weight of all women.
A population has parameters μ=126.3μ=126.3 and σ=57.9σ=57.9. You intend to draw a random sample of size...
A population has parameters μ=126.3μ=126.3 and σ=57.9σ=57.9. You intend to draw a random sample of size n=221n=221. What is the mean of the distribution of sample means? μ¯x=μx¯= What is the standard deviation of the distribution of sample means? (Report answer accurate to 2 decimal places.) σ¯x=σx¯=