Statistics: Unlocking The Power Of Data With Wiley Plus
Statistics: Unlocking The Power Of Data With Wiley Plus
2nd Edition
ISBN: 9781119309512
Author: Lock
Publisher: WILEY
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Chapter B, Problem 2E

a.

To determine

Delineate the data collection in this situation.

Explain the reason why it is important that the samples are from new subjects whose samples of the dogs have not been encountered before.

State whether the experiment is well designed.

b.

To determine

Explain the reason that the experimenters had to account for the effect of smoking in the study of lung cancer.

c.

To determine

Provide the null and alternative hypothesis.

d.

To determine

Delineate whether the p-value is expected to be relatively large or relatively small and also, state how strong is the evidence.

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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)
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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 B Solutions

Statistics: Unlocking The Power Of Data With Wiley Plus

Ch. B - Prob. 11RECh. B - Prob. 12RECh. B - Prob. 13RECh. B - Prob. 14RECh. B - Prob. 15RECh. B - Prob. 16RECh. B - Prob. 17RECh. B - Prob. 18RECh. B - Prob. 19RECh. B - Prob. 20RECh. B - Prob. 21RECh. B - Prob. 22RECh. B - Prob. 23RECh. B - Prob. 24RECh. B - Prob. 25RECh. B - Prob. 26RECh. B - Prob. 27RECh. B - Prob. 28RECh. B - Standard Deviation of Penalty Minutes in the NHL...Ch. B - Prob. 30RECh. B - Prob. 31RECh. B - Prob. 32RECh. B - Prob. 33RECh. B - Prob. 34RECh. B - Prob. 35RECh. B - Taxes on Soda: Interpreting P-values Exercises...Ch. B - Prob. 37RECh. B - Prob. 38RECh. B - Prob. 39RECh. B - Prob. 40RECh. B - Paul the Octopus In the 2010 World Cup, Paul the...Ch. B - How Unlikely Is Paul the Octopus’s Success? For...Ch. B - Prob. 43RECh. B - Prob. 44RECh. B - Prob. 45RECh. B - A Possible Fast-Acting Antidepressant Traditional...Ch. B - Prob. 47RECh. B - Prob. 48RECh. B - Prob. 49RECh. B - Prob. 50RECh. B - Prob. 51RECh. B - Prob. 52RECh. B - Prob. 53RECh. B - Prob. 54RECh. B - Prob. 55RECh. B - Prob. 56RECh. B - Prob. 57RECh. B - Prob. 58RECh. B - Prob. 59RECh. B - Prob. 60RECh. B - Prob. 61RECh. B - Correlation between Distance and Time for Atlanta...Ch. B - Prob. 63RECh. B - Prob. 64RECh. B - Prob. 65RECh. B - Prob. 66RECh. B - Prob. 67RECh. B - Prob. 68RECh. B - Prob. 69RECh. B - Prob. 70RECh. B - Prob. 71RECh. B - Prob. 72RECh. B - Prob. 73RECh. B - Prob. 74RECh. B - Prob. 75RECh. B - Prob. 76RECh. B - Prob. 77RECh. B - Prob. 78RECh. B - Prob. 79RECh. B - RANDOMIZATION SAMPLES In Exercises B.78 to B.82, a...Ch. B - Prob. 81RECh. B - Prob. 82RE
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