Elementary Statistics with Student Access Kit
12th Edition
ISBN: 9780321869470
Author: Mario F. Triola
Publisher: PEARSON
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Chapter 13.5, Problem 3BSC
Notation For the data given in Exercise 1, identify the values of n1, n2, n3, and N.
1. Effect of Lead on IQ Score Listed below are full IQ scores from simple random samples of subjects with low lead exposure, medium lead exposure, and high lead exposure (from Data Set 5 in Appendix B). In using the Kruskal-Wallis test, we must rank all of the data combined, then we must find the sum of the ranks for each sample. Find the sum of the ranks for each of the three samples.
| Low Lead Level | Medium Lead Level | High Lead Level |
| 70 | 72 | 82 |
| 85 | 90 | 93 |
| 88 | 92 | 85 |
| 76 | 71 | 75 |
| 84 | 86 | 85 |
| 79 |
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(c) Because logistic regression predicts probabilities of outcomes, observations used to build a logistic regression model need not be independent.
A. false: all observations must be independent
B. true
C. false: only observations with the same outcome need to be independent
I ANSWERED: A. false: all observations must be independent.
(This was marked wrong but I have no idea why. Isn't this a basic assumption of logistic regression)
Business discuss
Spam filters are built on principles similar to those used in logistic regression. We fit a probability that each message is spam or not spam. We have several variables for each email. Here are a few: to_multiple=1 if there are multiple recipients, winner=1 if the word 'winner' appears in the subject line, format=1 if the email is poorly formatted, re_subj=1 if "re" appears in the subject line. A logistic model was fit to a dataset with the following output:
Estimate
SE
Z
Pr(>|Z|)
(Intercept)
-0.8161
0.086
-9.4895
0
to_multiple
-2.5651
0.3052
-8.4047
0
winner
1.5801
0.3156
5.0067
0
format
-0.1528
0.1136
-1.3451
0.1786
re_subj
-2.8401
0.363
-7.824
0
(a) Write down the model using the coefficients from the model fit.log_odds(spam) = -0.8161 + -2.5651 + to_multiple + 1.5801 winner + -0.1528 format + -2.8401 re_subj(b) Suppose we have an observation where to_multiple=0, winner=1, format=0, and re_subj=0. What is the predicted probability that this message is spam?…
Chapter 13 Solutions
Elementary Statistics with Student Access Kit
Ch. 13.2 - Prob. 1BSCCh. 13.2 - Prob. 2BSCCh. 13.2 - Prob. 3BSCCh. 13.2 - Prob. 4BSCCh. 13.2 - Prob. 5BSCCh. 13.2 - Prob. 6BSCCh. 13.2 - Prob. 7BSCCh. 13.2 - Prob. 8BSCCh. 13.2 - Prob. 9BSCCh. 13.2 - Prob. 10BSC
Ch. 13.2 - In Exercises 9-12, use the sign test for the data...Ch. 13.2 - Prob. 12BSCCh. 13.2 - Prob. 13BSCCh. 13.2 - In Exercises 13-16, use the sign test for the...Ch. 13.2 - Prob. 15BSCCh. 13.2 - In Exercises 13-16, use the sign test for the...Ch. 13.2 - Appendix B Data Sets.In Exercises 13-16, refer to...Ch. 13.2 - Prob. 18BSCCh. 13.2 - Appendix B Data Sets.In Exercises 17-20, refer to...Ch. 13.2 - Appendix B Data Sets.In Exercises 17-20, refer to...Ch. 13.2 - Procedures for Handling Ties In the sign test...Ch. 13.2 - Prob. 22BBCh. 13.3 - Wilcoxon Signed-Ranks Test for Freshman 15 The...Ch. 13.3 - Prob. 2BSCCh. 13.3 - Prob. 3BSCCh. 13.3 - Prob. 4BSCCh. 13.3 - Prob. 5BSCCh. 13.3 - Prob. 6BSCCh. 13.3 - Using the Wilcoxon Signed-Ranks Test.In Exercises...Ch. 13.3 - Prob. 8BSCCh. 13.3 - Prob. 9BSCCh. 13.3 - Prob. 10BSCCh. 13.3 - Appendix B Data Sets.In Exercises 9-12, refer to...Ch. 13.3 - Prob. 12BSCCh. 13.3 - Prob. 13BBCh. 13.4 - Prob. 1BSCCh. 13.4 - Prob. 2BSCCh. 13.4 - Prob. 3BSCCh. 13.4 - Prob. 4BSCCh. 13.4 - Prob. 5BSCCh. 13.4 - Prob. 6BSCCh. 13.4 - Prob. 7BSCCh. 13.4 - Prob. 8BSCCh. 13.4 - Prob. 9BSCCh. 13.4 - Prob. 10BSCCh. 13.4 - Prob. 11BSCCh. 13.4 - Prob. 12BSCCh. 13.4 - Prob. 13BBCh. 13.4 - Prob. 14BBCh. 13.5 - Effect of Lead on IQ Score Listed below are full...Ch. 13.5 - Prob. 2BSCCh. 13.5 - Notation For the data given in Exercise 1,...Ch. 13.5 - Prob. 4BSCCh. 13.5 - Prob. 5BSCCh. 13.5 - Prob. 6BSCCh. 13.5 - Prob. 7BSCCh. 13.5 - Using tho Kruskal-Wallis Test.In Exercises 5-8,...Ch. 13.5 - Prob. 9BSCCh. 13.5 - Prob. 10BSCCh. 13.5 - Prob. 11BSCCh. 13.5 - Car Crash Measurements Refer to Data See 13 in...Ch. 13.5 - Prob. 13BBCh. 13.6 - Regression If the methods of this section arc used...Ch. 13.6 - Level of Measurement Which of the levels of...Ch. 13.6 - Prob. 3BSCCh. 13.6 - Prob. 4BSCCh. 13.6 - Prob. 5BSCCh. 13.6 - Prob. 6BSCCh. 13.6 - Prob. 7BSCCh. 13.6 - Testing for Rank Correlation. In Exercises 7-12,...Ch. 13.6 - Prob. 9BSCCh. 13.6 - Testing for Rank Correlation. In Exercises 7-12,...Ch. 13.6 - Prob. 11BSCCh. 13.6 - Prob. 12BSCCh. 13.6 - Appendix B Data Sets. In Exercises 13-16, use the...Ch. 13.6 - Prob. 14BSCCh. 13.6 - Appendix B Data Sets. In Exercises 13-16, use the...Ch. 13.6 - Prob. 16BSCCh. 13.6 - Prob. 17BBCh. 13.7 - Prob. 1BSCCh. 13.7 - Prob. 2BSCCh. 13.7 - Prob. 3BSCCh. 13.7 - Prob. 4BSCCh. 13.7 - Prob. 5BSCCh. 13.7 - Prob. 6BSCCh. 13.7 - Prob. 7BSCCh. 13.7 - Prob. 8BSCCh. 13.7 - Prob. 9BSCCh. 13.7 - Baseball World Series Victories Test the claim...Ch. 13.7 - Prob. 11BSCCh. 13.7 - Prob. 12BSCCh. 13 - Prob. 1CQQCh. 13 - Prob. 2CQQCh. 13 - Prob. 3CQQCh. 13 - Prob. 4CQQCh. 13 - Prob. 5CQQCh. 13 - Prob. 6CQQCh. 13 - Prob. 7CQQCh. 13 - Prob. 8CQQCh. 13 - Prob. 9CQQCh. 13 - Sign Test Identify three different applications of...Ch. 13 - Prob. 1RECh. 13 - Prob. 2RECh. 13 - Prob. 3RECh. 13 - Prob. 4RECh. 13 - Prob. 5RECh. 13 - Using Nonparametric Tests. In Exercises 110, use a...Ch. 13 - Prob. 7RECh. 13 - Prob. 8RECh. 13 - Prob. 9RECh. 13 - Prob. 10RECh. 13 - Prob. 1CRECh. 13 - Please be aware that some of the following...Ch. 13 - Prob. 3CRECh. 13 - Prob. 4CRECh. 13 - Prob. 5CRECh. 13 - Prob. 6CRECh. 13 - Prob. 7CRECh. 13 - Prob. 8CRECh. 13 - Prob. 9CRECh. 13 - Prob. 10CRECh. 13 - Prob. 11TPCh. 13 - Prob. 10FDD
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