Research Methods for the Behavioral Sciences (MindTap Course List)
6th Edition
ISBN: 9781337613316
Author: Frederick J Gravetter, Lori-Ann B. Forzano
Publisher: Cengage Learning
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Textbook Question
Chapter 6, Problem 9E
Suppose that you wake up in the morning with all the symptoms of a head cold. You take a cold pill and eat a big bowl of your mother’s chicken soup. By midday your cold symptoms are gone, and you are feeling much better. Can you conclude that the chicken soup cured your cold? Explain why or why not.
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You are concerned that nausea may be a side effect of Tamiflu, but you cannot just give Tamiflu to patients
with the flu and say that nausea is a side effect if people become nauseous. However, past research
indicates that about 30% of people who get the flu experience nausea, and you believe that the percentage
of those who experience nausea while having the flu and taking Tamiflu will be greater than 30%, which
would indigate that nausea is a side effect of Tamiflu.
If you are going to test this claim at the 0.05 significance level, what would be your null and alternative
hypotheses?
Họ:
H1:
What type of hypothesis test should you conduct (left-, right-, or two-tailed)?
A certain affects virus 0.4% of the population (in a population of 100,000 people, 400 will be infected with
the virus). A test used to detect the virus in a person is positive 87% of the time if the person has the virus
(true positive) and it is positive 14% of the time if the person does not have the virus (false positive). Fill in
the remainder of the following table and use it to answer the questions below.
Infected
Not Infected
Total
Positive Test
Negative Test
Total
400
99,600
100,000
Round all percents to the nearest tenth of a percent as needed.
a) Examine the "Positive Test" row of the table. If a person tests positive for the virus, what is the
probability that the person is really infected.
(Note: in medical terminology, this probability measures the "positive predictive value" of the test)
b) If a person tests negative for the virus, what is the probability that the person really is not infected.
(This is called the "negative predictive value")
A certain affects virus 0.4% of the population (in a population of 100,000 people, 400 will be infected with
the virus). A test used to detect the virus in a person is positive 87% of the time if the person has the virus
(true positive) and it is positive 14% of the time if the person does not have the virus (false positive). Fill in
the remainder of the following table and use it to answer the questions below.
Infected
Not Infected
Total
Positive Test
Negative Test
Total
400
99,600
100,000
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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