Mind on Statistics
5th Edition
ISBN: 9781285463186
Author: Jessica M. Utts, Robert F. Heckard
Publisher: Brooks Cole
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Chapter 2, Problem 2.131E
To determine
(a)
To find:
The five-number summary for the data values for the number of
To determine
(b)
To explain:
Whether or not any data values would be marked as outliers on a boxplot.
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Students have asked these similar questions
The table below shows the estimated effects for a logistic regression model with squamous cell esophageal cancer (Y = 1, yes; Y = 0, no) as the response. Smoking status (S) equals 1 for at least one pack per day and 0 otherwise, alcohol consumption (A) equals the average number of alcohoic drinks consumed per day, and race (R) equals 1 for blacks and 0 for whites.
Variable
Effect (β)
P-value
Intercept
-7.00
<0.01
Alcohol use
0.10
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Smoking
1.20
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0.30
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Race × smoking
0.20
0.04
Write-out the prediction equation (i.e., the logistic regression model) when R = 0 and again when R = 1. Find the fitted Y S conditional odds ratio in each case.
Next, write-out the logistic regression model when S = 0 and again when S = 1. Find the fitted Y R conditional odds ratio in each case.
The chi-squared goodness-of-fit test can be used to test if data comes from a specific continuous distribution by binning the data to make it
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Using the OpenIntro Statistics county_complete dataset, test the hypothesis that the persons_per_household 2019 values come from a normal
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In your solution you should
1. Formulate the hypotheses
2. Fill in this table
Range
(-⁰⁰, 2.34]
(2.34, 2.81]
(2.81, 3.27]
(3.27,00)
Observed
802
Expected
854.2
The first row has been filled in. That should give you a hint for how to calculate the expected frequencies. Remember that the expected
frequencies are calculated under the assumption that the null hypothesis is true.
FYI, the bounderies for each range were obtained using JASP's drag-and-drop cut function with 8 levels. Then some of the groups were
merged.
3. Check any conditions required by the chi-squared…
Suppose that you want to estimate the mean monthly gross income of all households in your local community. You decide to estimate this population parameter by calling 150 randomly selected residents and asking each individual to report the household’s monthly income. Assume that you use the local phone directory as the frame in selecting the households to be included in your sample.
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Chapter 2 Solutions
Mind on Statistics
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Ch. 2 - Prob. 2.11ECh. 2 - For each of the following characteristics of an...Ch. 2 - Prob. 2.13ECh. 2 - Prob. 2.14ECh. 2 - Prob. 2.15ECh. 2 - Prob. 2.16ECh. 2 - Prob. 2.17ECh. 2 - For each pair of variables, specify which variable...Ch. 2 - Prob. 2.19ECh. 2 - Prob. 2.20ECh. 2 - Prob. 2.21ECh. 2 - Prob. 2.22ECh. 2 - Prob. 2.23ECh. 2 - Prob. 2.24ECh. 2 - Prob. 2.25ECh. 2 - Prob. 2.26ECh. 2 - Table 2.1 (P. 20) summarized frequency of seatbelt...Ch. 2 - Prob. 2.28ECh. 2 - Prob. 2.29ECh. 2 - Refer to Exercise 2.27. Students also were asked...Ch. 2 - Prob. 2.31ECh. 2 - Prob. 2.32ECh. 2 - Prob. 2.33ECh. 2 - Prob. 2.34ECh. 2 - Prob. 2.35ECh. 2 - Prob. 2.36ECh. 2 - This is the same as Exercise ¡.1. The five-number...Ch. 2 - Prob. 2.38ECh. 2 - Prob. 2.39ECh. 2 - Prob. 2.40ECh. 2 - Prob. 2.41ECh. 2 - Prob. 2.42ECh. 2 - Prob. 2.43ECh. 2 - Hand et al. (1994, p. 148) provide data on the...Ch. 2 - The following stem-and-leaf plot is for the mean...Ch. 2 - Prob. 2.46ECh. 2 - Prob. 2.47ECh. 2 - Prob. 2.48ECh. 2 - Prob. 2.49ECh. 2 - Prob. 2.50ECh. 2 - Prob. 2.51ECh. 2 - Prob. 2.52ECh. 2 - Prob. 2.53ECh. 2 - Prob. 2.54ECh. 2 - Prob. 2.55ECh. 2 - Prob. 2.56ECh. 2 - Prob. 2.57ECh. 2 - Prob. 2.58ECh. 2 - Prob. 2.59ECh. 2 - Prob. 2.60ECh. 2 - Prob. 2.61ECh. 2 - Students in a statistics class wrote as many...Ch. 2 - Prob. 2.63ECh. 2 - The following cholesterol levels for n = 20...Ch. 2 - The weights (in pounds) for nine men on the...Ch. 2 - A set of eight systolic blood pressures follows:...Ch. 2 - Prob. 2.67ECh. 2 - Prob. 2.68ECh. 2 - Prob. 2.69ECh. 2 - Prob. 2.70ECh. 2 - Prob. 2.71ECh. 2 - Prob. 2.72ECh. 2 - Prob. 2.73ECh. 2 - The football team at the school of one of the...Ch. 2 - Prob. 2.75ECh. 2 - Prob. 2.76ECh. 2 - Prob. 2.77ECh. 2 - Prob. 2.78ECh. 2 - Prob. 2.79ECh. 2 - Prob. 2.80ECh. 2 - Prob. 2.81ECh. 2 - Prob. 2.82ECh. 2 - Prob. 2.83ECh. 2 - Prob. 2.84ECh. 2 - Prob. 2.85ECh. 2 - Prob. 2.86ECh. 2 - Prob. 2.87ECh. 2 - Suppose that the distribution of speeds at an...Ch. 2 - Prob. 2.89ECh. 2 - Prob. 2.90ECh. 2 - Prob. 2.91ECh. 2 - Prob. 2.92ECh. 2 - Prob. 2.93ECh. 2 - The data for Exercise 2.66 was this set of...Ch. 2 - Prob. 2.95ECh. 2 - If you learn that your score on an exam was 80 and...Ch. 2 - The scores on the final exam in a course with a...Ch. 2 - Prob. 2.98ECh. 2 - Prob. 2.99ECh. 2 - Prob. 2.100ECh. 2 - Head circumferences of adult males have a...Ch. 2 - Prob. 2.102ECh. 2 - Suppose verbal SAT scores for students admitted to...Ch. 2 - Prob. 2.104ECh. 2 - Prob. 2.105ECh. 2 - Prob. 2.106ECh. 2 - Prob. 2.107ECh. 2 - Remember that a resistant statistic is a numerical...Ch. 2 - Prob. 2.109ECh. 2 - Prob. 2.110ECh. 2 - Prob. 2.111ECh. 2 - Prob. 2.112ECh. 2 - Prob. 2.113ECh. 2 - Prob. 2.114ECh. 2 - Prob. 2.115ECh. 2 - Prob. 2.116ECh. 2 - Prob. 2.117ECh. 2 - Prob. 2.118ECh. 2 - Prob. 2.119ECh. 2 - Prob. 2.120ECh. 2 - Prob. 2.121ECh. 2 - Prob. 2.122ECh. 2 - The data for 103 women’s right handspans are shown...Ch. 2 - Prob. 2.124ECh. 2 - Prob. 2.125ECh. 2 - Prob. 2.126ECh. 2 - Prob. 2.127ECh. 2 - Prob. 2.128ECh. 2 - Prob. 2.129ECh. 2 - Prob. 2.130ECh. 2 - Prob. 2.131ECh. 2 - Prob. 2.132ECh. 2 - Prob. 2.133ECh. 2 - Prob. 2.134ECh. 2 - Prob. 2.135ECh. 2 - Explain why women’s heights are likely to have a...Ch. 2 - Prob. 2.137ECh. 2 - Use the pennstate 1 dataset on the companion...
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