Consider a dataset containing the heights of 38 females who said they prefer to sit in the front of the classroom yields a sample average of 62 inches and a sample standard deviation of 2.5 inches. Suppose that the average height for the general population of college females is 65 inches. An analyst wants to test the claim that the true average height of females who prefer to sit in the front of the classroom is lower than it is for the general population. Let μ denote the true mean height of females who prefer to sit in the front of the classroom. Suppose that a test for hypothesis Hoμ ≥ 65 vs. Ha : µ < 65 yields pvalue of 0.189, then the conclusion at the 10% significance level is that there is not sufficient evidence to suggest that the true average height of females who prefer to sit in the front of classroom is lower than 65 inches. Onot assessable because normality is not given. that there is sufficient evidence to suggest that the true average height of females who prefer to sit in the front of classroom is lower than 65 inches. that there is sufficient evidence to suggest that the true average height of females who prefer to sit in the front of classroom is different from 65 inches.
Consider a dataset containing the heights of 38 females who said they prefer to sit in the front of the classroom yields a sample average of 62 inches and a sample standard deviation of 2.5 inches. Suppose that the average height for the general population of college females is 65 inches. An analyst wants to test the claim that the true average height of females who prefer to sit in the front of the classroom is lower than it is for the general population. Let μ denote the true mean height of females who prefer to sit in the front of the classroom. Suppose that a test for hypothesis Hoμ ≥ 65 vs. Ha : µ < 65 yields pvalue of 0.189, then the conclusion at the 10% significance level is that there is not sufficient evidence to suggest that the true average height of females who prefer to sit in the front of classroom is lower than 65 inches. Onot assessable because normality is not given. that there is sufficient evidence to suggest that the true average height of females who prefer to sit in the front of classroom is lower than 65 inches. that there is sufficient evidence to suggest that the true average height of females who prefer to sit in the front of classroom is different from 65 inches.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Transcribed Image Text:Consider a dataset containing the heights of 38 females who said they prefer to sit in
the front of the classroom yields a sample average of 62 inches and a sample
standard deviation of 2.5 inches. Suppose that the average height for the general
population of college females is 65 inches. An analyst wants to test the claim that
the true average height of females who prefer to sit in the front of the classroom is
lower than it is for the general population.
Let μ denote the true mean height of females who prefer to sit in the front of the
classroom. Suppose that a test for hypothesis
Hoμ ≥ 65 vs. Ha
at the 10% significance level is
μ< 65 yields pvalue of 0.189, then the conclusion
that there is not sufficient evidence to suggest that the true average height of
females who prefer to sit in the front of classroom is lower than 65 inches.
not assessable because normality is not given.
that there is sufficient evidence to suggest that the true average height of
females who prefer to sit in the front of classroom is lower than 65 inches.
that there is sufficient evidence to suggest that the true average height of
females who prefer to sit in the front of classroom is different from 65 inches.
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