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.
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.
Comparing your conclusion using the 95% Cl for the true average height to the TRUTH that the
a) a Type II error has occured
b) the decision/conclusion is not an error
c) no assessment can be made because normality is not given
d) a Type I error has occured
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