Essentials of Statistics for the Behavioral Sciences
Essentials of Statistics for the Behavioral Sciences
8th Edition
ISBN: 9781133956570
Author: Frederick J Gravetter, Larry B. Wallnau
Publisher: Cengage Learning
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Chapter 3, Problem 25P

Schmidt (1994) conducted a series of experiments examining the effects of humor on memory. In one study, participants were shown a list of sentences, of which half were humorous and half were non- humorous. A humorous example is, “If at first you don't succeed, you are probably not related to the boss." Other participants would see a non-humorous version of this sentence, such as “People who are related to the boss often succeed the very first time.”

Schmidt then measured the number of each type of sentence recalled by each participant. The following scores are similar to the results obtained in the study.

Number of Sentences Recalled
Humorous Sentences Nonhumorous Sentences
4 5 2 4 5 2 4 2
6 7 6 6 2 3 1 6
2 5 4 3 3 2 3 3
1 3 5 5 4 1 5 3

Calculate the mean number of sentences recalled for each of the two conditions. Do the data suggest that humor helps memory?

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Chapter 3 Solutions

Essentials of Statistics for the Behavioral Sciences

Ch. 3.3 - If you have a score of 52 on an 80-point exam,...Ch. 3.3 - The following is a distribution of measurements...Ch. 3.5 - During the month of October, an instructor...Ch. 3.6 - Which measure of central tendency is most affected...Ch. 3.6 - What is it usually considered inappropriate to...Ch. 3.6 - Prob. 3LCCh. 3.6 - A distribution with a mean of 70 and a median of...Ch. 3 - Why is it necessary to have more than one method...Ch. 3 - Find the mean, median, and mode for the following...Ch. 3 - Find the mean, median, and mode for the following...Ch. 3 - Find the mean, median, and mode for the scores in...Ch. 3 - Find the mean, median, and mode for the scores in...Ch. 3 - For the following sample: a. Assume that the...Ch. 3 - A population of N = 15 scores has X = 120. What is...Ch. 3 - A sample of n = 8 scores has a mean of M = 12....Ch. 3 - A population with a mean of = 8 has X = 40. How...Ch. 3 - A sample of n = 7 scores has a mean of M = 9. If...Ch. 3 - A sample of n = 6 scores has a mean of M = 13. If...Ch. 3 - A sample of n = 15 scores has a mean of M = 6. One...Ch. 3 - A sample of n = 10 scores has a mean of M = 9. One...Ch. 3 - A population of N = 15 scores has a mean of = 8....Ch. 3 - A sample of n = 7 scores has a mean of M = 16. One...Ch. 3 - A sample of n = 7 scores has a mean of M = 5....Ch. 3 - A population of N = 8 scores has a mean of = 16....Ch. 3 - A sample of n = 9 scores has a mean of M = 13....Ch. 3 - A sample of n = 9 scores has a mean of M = 20. One...Ch. 3 - One sample of n = 12 scores has a mean of M = 7...Ch. 3 - One sample has a mean of M = 8 and a second sample...Ch. 3 - One sample has a mean of M = 5 and a second sample...Ch. 3 - Explain why the mean is often not a good measure...Ch. 3 - A researcher conducts a study comparing two...Ch. 3 - Schmidt (1994) conducted a series of experiments...Ch. 3 - Stephens, Atkins, and Kingston (2009) conducted a...Ch. 3 - Earlier in this chapter (p. 67), we mentioned a...
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