Exam 8: Hypothesis Testing: Inferences About a Single Mean

A researcher in sports psychology is interested in the resting pulse rate of long-distance college runners.She does some research and finds data from the U.S.Olympics team showing their long-distance runners have a resting pulse rate of 60 beats per minute.She wants to know if the pulse rate for college runners is different from the Olympic team's m of 60.She randomly samples 20 long-distance runners,and finds Based on the above calculations,what is your decision regarding the null hypothesis?

The larger the sample size,the more powerful the statistical test will be,everything else being equal.

Suppose you know that the mean score (m)on a measure of the personality trait "Openness to Experience" is 35.66 in a population of artists,with a standard deviation (s)of 13.32.Next,assume you went to Greenwich Village and gave this personality measure to a group of 10 artists.The mean in this sample was 40.33.You are interested in testing whether the 10 Greenwich Village artists were sampled from the same population described above.Calculate the 95% confidence interval.[Use a nondirectional test and an alpha level (a)of .05]

The terms "statistically significant" and "statistically nonsignificant" are meant to apply:

The probability that an investigator will correctly reject the null hypothesis when it is false is called the power of the statistical test.

Which of the following is NOT one of the conditions for using the one-sample t test?

The robustness of a test is influenced by several factors,including sample size,the degree of violation,and the form of violation.

The probability of making a Type I error is equal to:

In principle,we can never accept the null hypothesis as being true via our statistical methods;we can only reject it as being untenable.

The values that define the boundaries of the _____ are called the _____.

When we say that a test is _____ to violations of a distributional assumption,we mean that the frequency of Type I and Type II errors,and,thus,the accuracy of our conclusions,are relatively unaffected as compared to when the assumption is met.

Rejection regions are determined with reference to a probability value known as a(n):

In hypothesis testing,which of the following is assumed to be true?

A researcher in sports psychology is interested in the resting pulse rate of long-distance college runners.She does some research and finds data from the U.S.Olympics team showing their long-distance runners have a resting pulse rate of 60 beats per minute.She wants to know if the pulse rate for college runners is different from the Olympic team's m of 60.She randomly samples 20 long-distance runners,and finds What is the 95% confidence interval for the above statistical test?

The one-sample t test is based on the assumption that the scores on the variable are normally distributed in the population.

The probability of making a Type II error is traditionally called alpha and is represented by á.

The formula for determining the standard error of the population mean is _____.

What are the assumptions of the one-sample t test?

For an alpha level of .05,an unexpected result in the one sample z test includes any sample mean occurring more than _____ standard errors below or more than _____ standard errors above the value of ì represented in the null hypothesis.

The t distribution is similar to the normal distribution in that it is bell shaped,unimodal,and symmetrical.