Exam 14: Students T Test for Correlated and Independent Groups
Exam 1: Statistics and Scientific Method102 Questions
Exam 2: Basic Mathematical and Measurement Concepts110 Questions
Exam 3: Frequency Distributions116 Questions
Exam 4: Measures of Central Tendency and Variability125 Questions
Exam 5: The Normal Curve and Standard Scores105 Questions
Exam 6: Correlation139 Questions
Exam 7: Linear Regression101 Questions
Exam 8: Random Sampling and Probability123 Questions
Exam 9: Binomial Distribution121 Questions
Exam 10: Introduction to Hypothesis Testing: Using the Sign Test141 Questions
Exam 11: Power103 Questions
Exam 12: Sampling Distributions, Sampling Distribution of the Mean: the Normal Deviate Z Test135 Questions
Exam 13: Students T Test for Single Samples121 Questions
Exam 15: Introduction to the Analysis of Variance218 Questions
Exam 16: Introduction to the Two-Way Analysis of Variance115 Questions
Exam 17: Chi-Square and Other Nonparametric Tests170 Questions
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In the t test for correlated groups, a directional H 1 may predict µ D > 0.
(True/False)
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The t test assumes that the independent variable affects either the mean of the dependent variable or the standard deviation, but not both.
(True/False)
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Based on your answer to problem 30, using a = .05 2 tail, what do you conclude about H 0?
(Multiple Choice)
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Which of the following tests analyzes the difference between the means of two independent samples?
(Multiple Choice)
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A professor of women's studies is interested in determining if stress affects the menstrual cycle. Ten women are randomly sampled for an experiment and randomly divided into two groups. One of the groups is subjected to high stress for two months while the other lives in a relatively stress-free environment. The professor measures the menstrual cycle (in days) of each woman during the second month. The following data are obtained.
Construct the 95% confidence interval for ì 1 - ì 2. The 95 % confidence interval = _________.

(Multiple Choice)
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In an independent groups design, if the independent variable has a real effect, µ 1 ≠µ 2 .
(True/False)
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If n 1 = n 2 and n is relatively large, then the t test is relatively robust against _________.
(Multiple Choice)
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A professor of women's studies is interested in determining if stress affects the menstrual cycle. Ten women are randomly sampled for an experiment and randomly divided into two groups. One of the groups is subjected to high stress for two months while the other lives in a relatively stress-free environment. The professor measures the menstrual cycle (in days) of each woman during the second month. The following data are obtained.
Assume there is a real effect and estimate the size of the effect. _________.

(Multiple Choice)
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In a t test for two independent samples, the unbiased estimate of the population variance is
(Multiple Choice)
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A health educator wants to evaluate the effect of a dental film on the frequency with which children brush their teeth. A random selection of 8 children are used for the experiment. First, a baseline of the number of times the children brush their teeth over a month's period is established. Next, the children are shown the dental film and again the number of teeth brushings are recorded for a month. The following data are recorded.
Assume there is a real effect and estimate the size of effect, using Cohens d. = _________.

(Multiple Choice)
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In employing a correlated groups design, one possible drawback is _________.
(Multiple Choice)
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A dog food manufacturer believes that he may have found a way to improve the taste of the dog food made by his company. To test the new process, the company recruited 12 dogs. The dogs were given the original food and the time required to eat a standard portion of the food was measured. Two days later the same dogs were fed the same quantity of the new formula and the time was measured again. The following times were recorded: It is assumed that faster eating represents greater preference for the product.


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What are the variables that affect the power of the t test? How does increasing each variable affect power?
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