Introduction To Statistics And Data Analysis
6th Edition
ISBN: 9781337793612
Author: PECK, Roxy.
Publisher: Cengage Learning,
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Textbook Question
Chapter 4.3, Problem 35E
The report “Most Licensed Drivers Age 85+: States” (bloom berg.com/graphics/best-and-worst/#most-licensed-drivers-age-85-plus-states, retrieved April 20, 2017) gives the percentage of drivers in each state and the District of Columbia in 2011 who were over 85 years of age.
- a. Find the values of the
median , the lowerquartile , and the upper quartile. - b. The largest value in the data set is 5 .10% (Connecticut). Is this state an outlier? (Hint: See Example 4.11.)
- c. Construct a modified boxplot for this data set and comment on the interesting features of the plot. How would you describe the shape of the distribution if you don’t consider the outlier?
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A psychology researcher conducted a Chi-Square Test of Independence to examine whether there is a relationship between college students’ year in school (Freshman, Sophomore, Junior, Senior) and their preferred coping strategy for academic stress (Problem-Focused, Emotion-Focused, Avoidance). The test yielded the following result:
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Interpret the results of this analysis. In your response, clearly explain:
Whether the result is statistically significant and why.
What this means about the relationship between year in school and coping strategy.
What the researcher should conclude based on these findings.
A school counselor is conducting a research study to examine whether there is a relationship between the number of times teenagers report vaping per week and their academic performance, measured by GPA. The counselor collects data from a sample of high school students. Write the null and alternative hypotheses for this study. Clearly state your hypotheses in terms of the correlation between vaping frequency and academic performance.
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Chapter 4 Solutions
Introduction To Statistics And Data Analysis
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