Suppose a 90% confidence interval for u turns out to be (1000, 2100). If this interval was based on a sample of size n = 21, explain what assumptions are necessaryfor this interval to be valid.O A. The population must have an approximately normal distribution.OB. The sampling distribution must be biased with 20 degrees of freedom.O C. The population must have an approximate t-distribution.O D. The sampling distribution of the sample mean must have a normal distribution.

Given that The 90% confidence interval for population mean μ is (1000 , 2100) Sample size n =21

Answered: for this interval to be valid. OA. The…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Decide whether the normal sampling distribution can be used. If it can be used, test the claim about the population proportion p at the giver using the given sample statistics. Claim: p#0.24; a = 0.01; Sample statistics: p = 0.22, n = 200 Can the normal sampling distribution be used? Yes, because both np and nq are greater than or equal to 5. O B. No, because np is less than 5. OC. No, because ng is less than 5. O D. Yes, because pq is greater than a = 0.01. State the null and alternative hypotheses. O A. Ho: ps0.24 H,: p>0.24 B. Họ: p=0.24 Hi p#0.24 OC. Họ: p20.24 H:p<0.24 O D. The test cannot be performed. Determine the critical value(s). Select the correct choice below and, if necessary, fill in the answer box to complete your choice. A. The critical value(s) is/are - 2.58, 2.58. (Round to two decimal places as needed. Use a comma to separate answers as needed.) O B. The test cannot be performed. Find the z-test statistic. Select the correct choice below and, if necessary, fill in…
Determine whether the statement is true or false. If it is false, rewrite it as a true statement. A sampling distribution is normal only if the population is normal. Choose the correct answer below O A. The statement is false. A sampling distribution is never normal. O B. The statement is false. A sampling distribution is normal only if n230. O C. The statement is true. O D. The statement is false. A sampling distribution is normal if either n230 or the population is normal. Click to select your answer. ... acer
der Describe the shape of the distribution. OA. The distribution is uniform. O B. The distribution is skewed to the right. OC. The distribution is skewed to the left. OD. The distribution is bell shaped.
Determine the minimum sample size required when you want to be 95% confident that the sample mean is within two units of the population mean and = 4.3. Assume the population is normally distributed. n =
K Determine whether the statement is true or false. If it is false, rewrite it as a true statement. A sampling distribution is normal only if the population is normal. Choose the correct answer below. OA. The statement is true. OB. The statement is false. A sampling distribution is normal if either n ≥ 30 or the population is normal. OC. The statement is false. A sampling distribution is normal only if n ≥ 30. O D. The statement is false. A sampling distribution is never normal. Z-S e
Describe the sampling distribution of p. Assume the size of the population is 20,000. n 800, p 0.356 Describe the shape of the sampling distribution of p. Choose the correct answer below. A. The shape of the sampling distribution of p is not normal because n s 0.05N and np(1 - p)< 10 В. The shape of the sampling distribution of p is approximately normal because ns0.05N and np(1 -p) 10 A С. The shape of the sampling distribution of p is approximately normal because ns0.05N and np(1 -p)2 10 D. The shape of the sampling distribution of p is not normal because ns 0.05N and np(1 -p)z 10. Determine the mean of the sampling distribution of p. (Round to three decimal places as needed.) HA р Determine the standard deviation of the sampling distribution of p. (Round to three decimal places as needed.) р
Describe the sampling distribution of p. Assume the size of the population is 25,000. n=900 p=0.5 Choose the phrase that best describes the shape of the sampling distribution of p below. A. Not normal because n≤0.05N and np(1−p)≥10 B. Not normal because n≤0.05N and np(1−p)<10 C. Approximately normal because n≤0.05N and np(1−p)≥10. D. Approximately normal because n≤0.05N and np(1−p)<10. Determine the mean of the sampling distribution of p μp=_____ (Round to one decimal place as needed)

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