Research Methods for the Behavioral Sciences (MindTap Course List)
5th Edition
ISBN: 9781305104136
Author: Frederick J Gravetter, Lori-Ann B. Forzano
Publisher: Wadsworth Publishing
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Textbook Question
Chapter 6, Problem 12E
Describe how participant reactivity can be a threat to external validity; that is, how can participant reactivity limit the ability to generalize research results?
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The college hiking club is having a fundraiser to buy new equipment for fall and winter outings. The club is selling Chinese fortune cookies at a price of $2 per cookie. Each cookie contains a piece of paper with a different number written on it. A random drawing will determine which number is the winner of a dinner for two at a local Chinese restaurant. The dinner is valued at $32. Since fortune cookies are donated to the club, we can ignore the cost of the cookies. The club sold 718 cookies before the drawing. Lisa bought 13 cookies. Lisa's expected earnings can be found by multiplying the value of the dinner by the probability that she will win. What are Lisa's expected earnings? Round your answer to the nearest cent.
What was the age distribution of nurses in Great Britain at the time of Florence Nightingale? Thanks to Florence Nightingale and the British census of 1851, we have the following information (based on data from the classic text Notes on Nursing, by Florence Nightingale). Note: In 1851 there were 25,466 nurses in Great Britain. Furthermore, Nightingale made a strict distinction between nurses and domestic servants. Use a histogram and graph the probability distribution. Using the graph of the probability distribution determine the probability that a British nurse selected at random in 1851 would be 40 years of age or older. Round your answer to nearest thousandth.
Age range (yr)
20–29
30–39
40–49
50–59
60–69
70–79
80+
Midpoint (x)
24.5
34.5
44.5
54.5
64.5
74.5
84.5
Percent of nurses
5.7%
9.7%
19.5%
29.2%
25.0%
9.1%
1.8%
What was the age distribution of nurses in Great Britain at the time of Florence Nightingale? Thanks to Florence Nightingale and the British census of 1851, we have the following information (based on data from the classic text Notes on Nursing, by Florence Nightingale). Note: In 1851 there were 25,466 nurses in Great Britain. Furthermore, Nightingale made a strict distinction between nurses and domestic servants. Use a histogram and graph the probability distribution. Using the graph of the probability distribution determine the probability that a British nurse selected at random in 1851 would be 40 years of age or older. Round your answer to nearest thousandth.
Age range (yr)
20–29
30–39
40–49
50–59
60–69
70–79
80+
Midpoint (x)
24.5
34.5
44.5
54.5
64.5
74.5
84.5
Percent of nurses
5.7%
9.7%
19.5%
29.2%
25.0%
9.1%
1.8%
Chapter 6 Solutions
Research Methods for the Behavioral Sciences (MindTap Course List)
Ch. 6.1 - Describe, compare, and contrast the five research...Ch. 6.1 - Define research strategy, research design, and...Ch. 6.2 - Define the concept of external validity and a...Ch. 6.2 - Define the concept of internal validity and a...Ch. 6.3 - Identify and explain the common threats to...Ch. 6.4 - Describe how extraneous variables can become...Ch. 6.4 - Describe how environmental variables can be...Ch. 6.5 - Define experimenter bias, demand characteristics,...Ch. 6 - In addition to the key words, you should also be...Ch. 6 - For each of the following scenarios, identify...
Ch. 6 - How is the descriptive strategy different from the...Ch. 6 - Explain the difference among the terms research...Ch. 6 - A researcher conducts a study with 6-year-old...Ch. 6 - A researcher finds that college students are more...Ch. 6 - Explain how using college students as participants...Ch. 6 - What is the novelty effect, and how does it affect...Ch. 6 - Suppose that you wake up in the morning with all...Ch. 6 - What is the primary threat to internal validity...Ch. 6 - Describe how experimenter bias can be a threat to...Ch. 6 - Describe how participant reactivity can be a...Ch. 6 - Selection bias and individual differences are both...
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