EP STATISTICS-ACCESS (18 WEEK)
5th Edition
ISBN: 9780135960592
Author: Sullivan
Publisher: PEARSON CO
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Question
Chapter 13, Problem 3RE
(a)
To determine
Response variable.
(b)
Section 1
To determine
The factor.
Section 2
To determine
Number of levels of treatments.
(c)
To determine
To state: The hypothesis.
(d)
To determine
To verify: The requirement of equal population standard deviation.
(e)
To determine
To test: The equality of means.
(f)
To determine
To interpret: P-value.
(g)
To determine
To interpret: The provided boxplot.
(h)
To determine
The pairwise means that differ.
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Students have asked these similar questions
(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
EP STATISTICS-ACCESS (18 WEEK)
Ch. 13.1 - 1. The acronym ANOVA stands for ____ ___ ______.
Ch. 13.1 - 2. True or False: To perform a one-way ANOVA, the...Ch. 13.1 - Prob. 3AYUCh. 13.1 - 4. The variability among the sample means is...Ch. 13.1 - Prob. 5AYUCh. 13.1 - 6. True or False: The F-test statistic is F0 = .
Ch. 13.1 - Prob. 7AYUCh. 13.1 - In Problems 7 and 8, fill in the ANOVA...Ch. 13.1 - In Problems 9 and 10, determine the F-test...Ch. 13.1 - In Problems 9 and 10, determine the F-test...
Ch. 13.1 - Prob. 11AYUCh. 13.1 - Prob. 12AYUCh. 13.1 - Prob. 13AYUCh. 13.1 - 14. Soybean Yield The data in the table represent...Ch. 13.1 - 15. Which Delivery Method Is Best? At a community...Ch. 13.1 - Prob. 16AYUCh. 13.1 - 17. Rates of Return A stock analyst wondered...Ch. 13.1 - Prob. 18AYUCh. 13.1 - 19. Car-Buying Discrimination To determine if...Ch. 13.1 - Prob. 20AYUCh. 13.1 - 21. Lower Your Cholesterol Researcher Francisco...Ch. 13.1 - Prob. 22AYUCh. 13.1 - Prob. 23AYUCh. 13.1 - Prob. 24AYUCh. 13.1 - Prob. 25AYUCh. 13.1 - Prob. 26AYUCh. 13.1 - Prob. 27AYUCh. 13.1 - Prob. 28AYUCh. 13.1 - Prob. 29AYUCh. 13.1 - Prob. 30AYUCh. 13.1 - Prob. 31AYUCh. 13.1 - Prob. 32AYUCh. 13.1 - Prob. 33AYUCh. 13.2 - Prob. 1AYUCh. 13.2 - Prob. 2AYUCh. 13.2 - Prob. 3AYUCh. 13.2 - Prob. 4AYUCh. 13.2 - Prob. 5AYUCh. 13.2 - Prob. 6AYUCh. 13.2 - Prob. 7AYUCh. 13.2 - Prob. 8AYUCh. 13.2 - Prob. 9AYUCh. 13.2 - Prob. 10AYUCh. 13.2 - Prob. 11AYUCh. 13.2 - Prob. 12AYUCh. 13.2 - Prob. 13AYUCh. 13.2 - Prob. 14AYUCh. 13.2 - Prob. 15AYUCh. 13.2 - Prob. 16AYUCh. 13.2 - Prob. 17AYUCh. 13.3 - Prob. 1AYUCh. 13.3 - 2. Given the following ANOVA output, answer the...Ch. 13.3 - Prob. 3AYUCh. 13.3 - Prob. 4AYUCh. 13.3 - Prob. 5AYUCh. 13.3 - Prob. 6AYUCh. 13.3 - 7. Octane An automotive engineer wanted to...Ch. 13.3 - Prob. 8AYUCh. 13.3 - Prob. 9AYUCh. 13.3 - Prob. 10AYUCh. 13.3 - Prob. 11AYUCh. 13.3 - Prob. 12AYUCh. 13.3 - Prob. 13AYUCh. 13.3 - Prob. 14AYUCh. 13.3 - Prob. 15AYUCh. 13.3 - Prob. 16AYUCh. 13.3 - Prob. 17AYUCh. 13.3 - Prob. 18AYUCh. 13.3 - Prob. 19AYUCh. 13.3 - Prob. 20AYUCh. 13.4 - Prob. 1AYUCh. 13.4 - Prob. 2AYUCh. 13.4 - Prob. 3AYUCh. 13.4 - Prob. 4AYUCh. 13.4 - Prob. 5AYUCh. 13.4 - Prob. 6AYUCh. 13.4 - Prob. 7AYUCh. 13.4 - Prob. 8AYUCh. 13.4 - Prob. 9AYUCh. 13.4 - Prob. 10AYUCh. 13.4 - Prob. 11AYUCh. 13.4 - Prob. 12AYUCh. 13.4 - Prob. 13AYUCh. 13.4 - Prob. 14AYUCh. 13.4 - Prob. 15AYUCh. 13.4 - Prob. 16AYUCh. 13.4 - NW 17. Cholesterol Levels A family physician...Ch. 13.4 - Prob. 18AYUCh. 13.4 - Prob. 19AYUCh. 13.4 - Prob. 20AYUCh. 13.4 - Prob. 21AYUCh. 13.4 - 22. Putting It Together: Students at Ease Do...Ch. 13.4 - Prob. 23AYUCh. 13.4 - Prob. 24AYUCh. 13.4 - Prob. 25AYUCh. 13 - Prob. 1RECh. 13 - Prob. 2RECh. 13 - Prob. 3RECh. 13 - Prob. 4RECh. 13 - Prob. 5RECh. 13 - Prob. 6RECh. 13 - Prob. 7RECh. 13 - Prob. 1CTCh. 13 - Prob. 2CTCh. 13 - Prob. 3CTCh. 13 - Prob. 4CTCh. 13 - Prob. 5CTCh. 13 - Prob. CS
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