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quest hat hypothesis testing procedure should you use to answer ssume all samples are simple random samples, and assume x = 0.05 if it isn't ecified. random sample of size 21 was taken from a normal population. The sample = 0.05, erage was 9.87 and the population SD is known to be 1.17. Assuming α = What test should you use for testing whether the population mean equals 9.7? One sample z-test for the population mean. Two sample z-test for the population means. One sample z-test for proportions. Two sample z-test for proportions. One sample t-test for the population mean. None of our hypothesis tests fit. 23

quest hat hypothesis testing procedure should you use to answer ssume all samples are simple random samples, and assume x = 0.05 if it isn't ecified. random sample of size 21 was taken from a normal population. The sample = 0.05, erage was 9.87 and the population SD is known to be 1.17. Assuming α = What test should you use for testing whether the population mean equals 9.7? One sample z-test for the population mean. Two sample z-test for the population means. One sample z-test for proportions. Two sample z-test for proportions. One sample t-test for the population mean. None of our hypothesis tests fit. 23

MATLAB: An Introduction with Applications
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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## Hypothesis Testing Procedure Selection ### Question: What hypothesis testing procedure should you use to answer these questions? Assume all samples are simple random samples, and assume α = 0.05 if it isn’t specified. ### Given Data: - A random sample of size 21 was taken from a normal population. - The sample average (mean) was 9.87. - The population standard deviation (SD) is known to be 1.17. - Assume α = 0.05. ### Hypothesis Test Question: What test should you use for testing whether the population mean equals 9.7? ### Options: 1. One sample z-test for the population mean. 2. Two sample z-test for the population means. 3. One sample z-test for proportions. 4. Two sample z-test for proportions. 5. One sample t-test for the population mean. 6. None of our hypothesis tests fit. ### Explanation of Graphs and Diagrams: This question does not include any graphs or diagrams. The information provided is textual, focusing on numerical data required to select an appropriate hypothesis testing procedure. ### Answer: The correct testing procedure to use in this scenario is **one sample z-test for the population mean**, because: - The sample size is small (n < 30). - The population standard deviation is known. - The population is normally distributed. - We are testing the mean of one sample only.
Transcribed Image Text:## Hypothesis Testing Procedure Selection ### Question: What hypothesis testing procedure should you use to answer these questions? Assume all samples are simple random samples, and assume α = 0.05 if it isn’t specified. ### Given Data: - A random sample of size 21 was taken from a normal population. - The sample average (mean) was 9.87. - The population standard deviation (SD) is known to be 1.17. - Assume α = 0.05. ### Hypothesis Test Question: What test should you use for testing whether the population mean equals 9.7? ### Options: 1. One sample z-test for the population mean. 2. Two sample z-test for the population means. 3. One sample z-test for proportions. 4. Two sample z-test for proportions. 5. One sample t-test for the population mean. 6. None of our hypothesis tests fit. ### Explanation of Graphs and Diagrams: This question does not include any graphs or diagrams. The information provided is textual, focusing on numerical data required to select an appropriate hypothesis testing procedure. ### Answer: The correct testing procedure to use in this scenario is **one sample z-test for the population mean**, because: - The sample size is small (n < 30). - The population standard deviation is known. - The population is normally distributed. - We are testing the mean of one sample only.
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