Please answer true/false for each: a. If P > α, then we reject the alternative hypothesis HA: μ1 ≠ μ2 and accept the null hypothesis H0 : μ1 = μ2 b. If we have P < α for a non-directional test, then it is guaranteed that we will have P < α for a directional test. c. In creating a confidence interval, assuming all other sample values are the same (sample means and standard deviations), larger sample sizes will lead to larger (wider, less precise) confidence intervals.

Please answer true/false for each: a. If P > α, then we reject the alternative hypothesis HA: μ1 ≠ μ2 and accept the null hypothesis H0 : μ1 = μ2 b. If we have P < α for a non-directional test, then it is guaranteed that we will have P < α for a directional test. c. In creating a confidence interval, assuming all other sample values are the same (sample means and standard deviations), larger sample sizes will lead to larger (wider, less precise) confidence intervals.

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Description: Please answer true/false for each:a. If P > α, then we reject the alternative hypothesis HA: μ1 ≠ μ2 and accept the null hypothesis H0 : μ1 = μ2b. If we have P < α for a non-directional test, then it is guaranteed that we will have P < α for a direct

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter13: Probability And Calculus

Section13.CR: Chapter 13 Review

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Question

Please answer true/false for each:

a. If P > α, then we reject the alternative hypothesis HA: μ1 ≠ μ2 and accept the null hypothesis H0 : μ1 = μ2

b. If we have P < α for a non-directional test, then it is guaranteed that we will have P < α for a directional test.

c. In creating a confidence interval, assuming all other sample values are the same (sample means and standard deviations), larger sample sizes will lead to larger (wider, less precise) confidence intervals.

Definition Definition Number of subjects or observations included in a study. A large sample size typically provides more reliable results and better representation of the population. As sample size and width of confidence interval are inversely related, if the sample size is increased, the width of the confidence interval decreases.

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