Introductory Statistics (10th Edition)
10th Edition
ISBN: 9780321989178
Author: Neil A. Weiss
Publisher: PEARSON
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Chapter 16, Problem 19RP
To determine
The value of
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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
0.03
Smoking
1.20
<0.01
Race
0.30
0.02
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
categorical.
Using the OpenIntro Statistics county_complete dataset, test the hypothesis that the persons_per_household 2019 values come from a normal
distribution with mean and standard deviation equal to that variable's mean and standard deviation. Use signficance level a = 0.01.
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.
What are some possible sources of error that might arise in your effort to estimate the population mean?
Chapter 16 Solutions
Introductory Statistics (10th Edition)
Ch. 16.1 - How do we identify an F-distribution and its...Ch. 16.1 - How many degrees of freedom does an F-curve have?...Ch. 16.1 - What symbol is used to denote the F-value having...Ch. 16.1 - Using the F-notation, identify the F-value having...Ch. 16.1 - An F-curve has df = (12, 7). What is the number of...Ch. 16.1 - An F-curve has df = (8, 19). What is the number of...Ch. 16.1 - In Exercises 16.716.10, use Table VIII in Appendix...Ch. 16.1 - Prob. 8ECh. 16.1 - Prob. 9ECh. 16.1 - Prob. 10E
Ch. 16.2 - One-way ANOVA is a procedure for comparing the...Ch. 16.2 - If we define s=MSE, of which parameter is s an...Ch. 16.2 - Explain the reason for the word variance in the...Ch. 16.2 - For a one-way ANOVA test, suppose that, in...Ch. 16.2 - Regarding one-way ANOVA, fill in the blanks in...Ch. 16.2 - Regarding one-way ANOVA, fill in the blanks in...Ch. 16.2 - Regarding one-way ANOVA, fill in the blanks in...Ch. 16.2 - Explain the logic behind one-way ANOVA.Ch. 16.2 - What does the term one-way signify in the phrase...Ch. 16.2 - Figure 16.6 shows side-by-side boxplots of...Ch. 16.2 - Figure 16.7 shows side-by-side boxplots of...Ch. 16.2 - Discuss two methods for checking the assumptions...Ch. 16.2 - In one-way ANOVA, what is the residual of an...Ch. 16.2 - In Exercises 16.24-16.29, we have provided data...Ch. 16.2 - In Exercises 16.24-16.29. we have provided data...Ch. 16.2 - In Exercises 16.24-16.29, we have provided data...Ch. 16.2 - In Exercises 16.24-16.29, we have provided data...Ch. 16.2 - In Exercises 16.24-16.29, we have provided data...Ch. 16.2 - In Exercises 16.24-16.29, we have provided data...Ch. 16.2 - Show that, for two populations, MSE=sp2, where is...Ch. 16.2 - Suppose that the variable under consideration is...Ch. 16.3 - Suppose that a one-way ANOVA is being performed to...Ch. 16.3 - We stated earlier that a one-way ANOVA test is...Ch. 16.3 - Following are the notations for the three sums of...Ch. 16.3 - State the one-way ANOVA identity, and interpret...Ch. 16.3 - True or false: If you know any two of the three...Ch. 16.3 - In each part, specify what type of analysis you...Ch. 16.3 - Prob. 38ECh. 16.3 - In Exercises 16.38-16.41, fill in the missing...Ch. 16.3 - In Exercises 16.38-16.41 fill in the missing...Ch. 16.3 - Prob. 41ECh. 16.3 - In Exercises 16.42-16.47. wt provide data from...Ch. 16.3 - In Exercises 16.42-16.47, we provide data from...Ch. 16.3 - Prob. 44ECh. 16.3 - Prob. 45ECh. 16.3 - Prob. 46ECh. 16.3 - Prob. 47ECh. 16.3 - Prob. 48ECh. 16.3 - Copepod Cuisine. Copepods are tiny crustaceans...Ch. 16.3 - In Exercises 16.48-16.53, apply Procedure 16.1 on...Ch. 16.3 - Staph Infections. In the article Using EDE, ANOVA...Ch. 16.3 - Prob. 52ECh. 16.3 - Prob. 53ECh. 16.3 - Prob. 54ECh. 16.3 - Prob. 55ECh. 16.3 - In Exercises 16.54-16.59, use the technology of...Ch. 16.3 - Prob. 57ECh. 16.3 - In Exercises 16.54-16.59, use. the technology of...Ch. 16.3 - Prob. 59ECh. 16.3 - Prob. 60ECh. 16.3 - Prob. 61ECh. 16.3 - In Exercises 16.60-16.63, refer to the discussion...Ch. 16.3 - Starting Salaries. The National Association of...Ch. 16.3 - Working with Large Data Sets In Exercises...Ch. 16.3 - Working with Large Data Sets In Exercises...Ch. 16.3 - In Exercises 16.64-16.72, use the technology of...Ch. 16.3 - In Exercises 16.6416.72, use the technology of...Ch. 16.3 - In Exercises 16.64-16.72, use the technology of...Ch. 16.3 - In Exercises 16.64-16.72, use the technology of...Ch. 16.3 - Prob. 70ECh. 16.3 - Prob. 71ECh. 16.3 - Prob. 72ECh. 16.3 - Prob. 73ECh. 16.3 - Prob. 74ECh. 16.3 - Prob. 75ECh. 16.4 - What is the purpose of doing a multiple...Ch. 16.4 - Fill in the blank: If a confidence interval for...Ch. 16.4 - Explain the difference between the family...Ch. 16.4 - Regarding family and individual confidence levels,...Ch. 16.4 - What is the name of the distribution on which the...Ch. 16.4 - The parameter v for the q-curve in a Tukey...Ch. 16.4 - Explain the essential difference between obtaining...Ch. 16.4 - Determine the following for a q-curve with...Ch. 16.4 - Determine the following for a q-curve with...Ch. 16.4 - Find the following for a q-curve with parameters K...Ch. 16.4 - Find the following for a q-curve with parameters K...Ch. 16.4 - Suppose that you conduct a one-way ANOVA test and...Ch. 16.4 - In Exercises 16.88-16.93, we repeal the data from...Ch. 16.4 - In Exercises 16.88-16.93, we repeat the data from...Ch. 16.4 - In Exercises 16.88-16.93, we repeat the data from...Ch. 16.4 - In Exercises 16.88-16.93, we repeat the data from...Ch. 16.4 - In Exercises 16.88-16.93, we repeat the data from...Ch. 16.4 - Prob. 93ECh. 16.4 - Prob. 94ECh. 16.4 - In Exercises 16.94-16.99, use Procedure 16.2 on...Ch. 16.4 - In Exercises 16.94-16.99, use Procedure 16.2 on...Ch. 16.4 - In Exercises 16.94-16.99, use Procedure 16.2 on...Ch. 16.4 - Prob. 98ECh. 16.4 - Prob. 99ECh. 16.4 - Prob. 100ECh. 16.4 - Prob. 101ECh. 16.4 - In Exercises 16.100-16.105, use the technology of...Ch. 16.4 - Prob. 103ECh. 16.4 - Prob. 104ECh. 16.4 - Prob. 105ECh. 16.4 - In Exercises 16.106-16.109, use Procedure 10.2 on...Ch. 16.4 - Prob. 107ECh. 16.4 - Prob. 108ECh. 16.4 - Prob. 109ECh. 16.4 - Prob. 110ECh. 16.4 - In Exercises 16.110-16.118, we repeat information...Ch. 16.4 - Prob. 112ECh. 16.4 - Prob. 113ECh. 16.4 - Prob. 114ECh. 16.4 - In Exercises 16.110-16.118, we repeat information...Ch. 16.4 - Prob. 116ECh. 16.4 - Prob. 117ECh. 16.4 - In Exercises 16.110-16.16.118, we repeat...Ch. 16.4 - Explain why the family confidence level, not the...Ch. 16.4 - Prob. 120ECh. 16.4 - Energy Consumption. Apply Table 16.11 on page 723...Ch. 16.5 - Prob. 122ECh. 16.5 - Prob. 123ECh. 16.5 - Prob. 124ECh. 16.5 - Prob. 125ECh. 16.5 - Prob. 126ECh. 16.5 - The measure of total variation of all the ranks is...Ch. 16.5 - Regarding a Kruskal-Wallis test, fill in the...Ch. 16.5 - Prob. 129ECh. 16.5 - Prob. 130ECh. 16.5 - In each of Exercises 16.130-16.133, suppose that...Ch. 16.5 - Prob. 132ECh. 16.5 - Prob. 133ECh. 16.5 - Prob. 134ECh. 16.5 - Prob. 135ECh. 16.5 - Prob. 136ECh. 16.5 - Prob. 137ECh. 16.5 - Prob. 138ECh. 16.5 - Prob. 139ECh. 16.5 - Prob. 140ECh. 16.5 - Prob. 141ECh. 16.5 - Prob. 142ECh. 16.5 - Prob. 143ECh. 16.5 - Prob. 144ECh. 16.5 - In Exercises 16.144-16.149, perform a...Ch. 16.5 - In Exercises 16.144-16.149, perform a...Ch. 16.5 - In Exercises 16.144-16.149, perform a...Ch. 16.5 - Prob. 148ECh. 16.5 - Prob. 149ECh. 16.5 - Prob. 150ECh. 16.5 - Prob. 151ECh. 16.5 - Prob. 152ECh. 16.5 - Prob. 153ECh. 16.5 - Prob. 154ECh. 16.5 - Prob. 155ECh. 16.5 - Prob. 156ECh. 16.5 - Prob. 157ECh. 16.5 - Prob. 158ECh. 16.5 - Prob. 159ECh. 16.5 - Prob. 160ECh. 16.5 - Prob. 161ECh. 16.5 - Prob. 162ECh. 16.5 - Prob. 163ECh. 16.5 - Prob. 164ECh. 16.5 - Prob. 165ECh. 16.5 - Prob. 166ECh. 16.5 - Prob. 167ECh. 16 - For what is one-way ANOVA used?Ch. 16 - State the four assumptions for one-way ANOVA, and...Ch. 16 - On what distribution does one-way ANOVA rely?Ch. 16 - Suppose that you want to compare the means of...Ch. 16 - Prob. 5RPCh. 16 - In one-way ANOVA, a. list and interpret the three...Ch. 16 - Prob. 7RPCh. 16 - Prob. 8RPCh. 16 - Prob. 9RPCh. 16 - Prob. 10RPCh. 16 - Prob. 11RPCh. 16 - Suppose that you want to compare the means of...Ch. 16 - Prob. 13RPCh. 16 - Prob. 14RPCh. 16 - Prob. 15RPCh. 16 - Prob. 16RPCh. 16 - In Problems 17-21, consider an F-curve with df =...Ch. 16 - Prob. 18RPCh. 16 - Prob. 19RPCh. 16 - Prob. 20RPCh. 16 - Prob. 21RPCh. 16 - Consider a q -curve with parameters 3 and 14. a....Ch. 16 - Consider the following hypothetical samples. A B C...Ch. 16 - Losses to Robbery. The Federal Bureau of...Ch. 16 - Prob. 25RPCh. 16 - Prob. 26RPCh. 16 - Prob. 27RPCh. 16 - Losses to Robbery. Refer to Problem 24. a. At the...Ch. 16 - Foot-pressure Angle. Genu valgum, commonly known...Ch. 16 - Prob. 30RPCh. 16 - Prob. 31RPCh. 16 - Prob. 32RPCh. 16 - In Problems 3234, use the technology of your...Ch. 16 - Prob. 34RPCh. 16 - Prob. 35RPCh. 16 - In Problems 3537, refer to the specified problem...Ch. 16 - Prob. 37RPCh. 16 - Recall from Chapter 1 (see page 34) that the Focus...Ch. 16 - SELF-PERCEPTION AND PHYSICAL ACTIVITY As you...
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