Essentials of Statistics for The Behavioral Sciences (MindTap Course List)
9th Edition
ISBN: 9781337098120
Author: Frederick J Gravetter, Larry B. Wallnau, Lori-Ann B. Forzano
Publisher: Cengage Learning
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Textbook Question
Chapter 9.2, Problem 1LC
A sample of n = 9 scores is selected from a population with a
a. t = 1
b. t = 1.50
c. t = 2
d. t = 4
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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 9 Solutions
Essentials of Statistics for The Behavioral Sciences (MindTap Course List)
Ch. 9.1 - In what circumstances is the t statistic used...Ch. 9.1 - A sample of n = 4 scores has SS = 48. What is the...Ch. 9.1 - On average, what value is expected for the t...Ch. 9.2 - A sample of n = 9 scores is selected from a...Ch. 9.2 - A hypothesis test produces a t statistic of t =...Ch. 9.2 - A sample is selected from a population and a...Ch. 9.3 - A sample of n = 25 is selected from a population...Ch. 9.3 - Prob. 2LCCh. 9.3 - A sample of n = 4 scores is selected from a...Ch. 9.3 - A researcher uses a sample of n = 25 individuals...
Ch. 9.4 - A sample is selected from a population with a mean...Ch. 9.4 - A researcher predicts that a treatment will...Ch. 9.4 - A researcher fails to reject the null hypothesis...Ch. 9 - Under what circumstances is a t statistic used...Ch. 9 - A sample of n = 16 scores has a mean of M = 56 and...Ch. 9 - Find the estimated standard error for the sample...Ch. 9 - The following sample of n = 4 score was obtained...Ch. 9 - The following sample was obtained from a...Ch. 9 - Explain why t distributions tend to be flatter and...Ch. 9 - Find the t values that form boundaries of the...Ch. 9 - Find the t value that forms the boundary of the...Ch. 9 - A random sample n = 12 individuals is selected...Ch. 9 - A random sample of n 4 individuals is selected...Ch. 9 - Infants, even newborns, prefer to look at...Ch. 9 - The spotlight effect refers to overestimating the...Ch. 9 - To evaluate the effect of a treatment, a sample is...Ch. 9 - To evaluate the effect of a treatment, a sample of...Ch. 9 - Weinstein, McDermott, and Roediger (2010) report...Ch. 9 - To evaluate the effect of a treatment, a sample is...Ch. 9 - To evaluate the effect of a treatment a sample of...Ch. 9 - Standardized measures seem to indicate that the...Ch. 9 - Ackerman and Goldsmith (2011) found that students...Ch. 9 - Oishi and Shigehiro (2010) report that people who...Ch. 9 - McGee and Shevlin (2009) demonstrated that an...Ch. 9 - Belsky, Weinraub, Owen, and Kelly (2001) reported...Ch. 9 - An example of the vertical-horizontal illusion is...
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