Statistics: The Art and Science of Learning from Data (4th Edition)
4th Edition
ISBN: 9780321997838
Author: Alan Agresti, Christine A. Franklin, Bernhard Klingenberg
Publisher: PEARSON
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Textbook Question
Chapter 15, Problem 33CP
True or false For a one-sided significance test comparing two means with small samples from highly skewed population distributions, it’s safer to use a t test than a Wilcoxon test. This is because the Wilcoxon test assumes
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4. Find a 95% confidence interval for the difference of two means when you
have independent samples, both of size 36, from two populations, in which
the variances are not known to be equal. In this case, nị=36, s1²=6.1, the
first sample mean is equal to 7.9; n2 =36, s2?=10.4, the second sample mean
is equal to 9.1
Interpret the interval once you find it. Namely, can you conclude one mean
is greater than the other mean and if so, which one?
Need sub part B answered only
HR department wants to make sure that their hiring practices are independent of gender. In other words, they want to ensure that both men and women have an equal chance of being hired.
The observed data related to this survey is summarized in the following table:
Observed frequency
Male
Female
Total
Hired
45
35
Not Hired
32
28
Total
Given Ho = “HR department hired male and female employees equally”, decide whether to reject or fail to reject the null hypothesis (α = 0.05).
Chapter 15 Solutions
Statistics: The Art and Science of Learning from Data (4th Edition)
Ch. 15.1 - Prob. 1PBCh. 15.1 - Prob. 2PBCh. 15.1 - Prob. 3PBCh. 15.1 - Prob. 4PBCh. 15.1 - Prob. 5PBCh. 15.1 - Prob. 6PBCh. 15.1 - Prob. 7PBCh. 15.2 - How long do you tolerate being put on hold?...Ch. 15.2 - Prob. 9PBCh. 15.2 - Prob. 10PB
Ch. 15.2 - Cell phones and reaction times Example 13 in...Ch. 15.2 - Sign lest for GRR scores Consider Example 8, for...Ch. 15.2 - Prob. 13PBCh. 15.2 - More on blood pressure Refer to the previous...Ch. 15.2 - Prob. 15PBCh. 15.2 - Prob. 16PBCh. 15 - Car bumper damage An automobile company compares...Ch. 15 - Comparing more bumpers Refer to the previous...Ch. 15 - Telephone holding times In Exercise 15.8, the...Ch. 15 - Treating alcoholics The nonparametric statistics...Ch. 15 - Comparing tans Examples 1 and 2 compared two...Ch. 15 - Comparing therapies for anorexia The Anorexia data...Ch. 15 - Internet versus cell phones For the countries in...Ch. 15 - Prob. 24CPCh. 15 - GPAs The Georgia Student Survey data file has data...Ch. 15 - Prob. 26CPCh. 15 - Prob. 27CPCh. 15 - Student survey For the FL Student Survey data file...Ch. 15 - Prob. 29CPCh. 15 - Prob. 30CPCh. 15 - Complete the analogy The t test for comparing two...Ch. 15 - Prob. 32CPCh. 15 - True or false For a one-sided significance test...Ch. 15 - Multiple choice Nonparametric statistical methods...Ch. 15 - Prob. 35CPCh. 15 - Prob. 36CPCh. 15 - Prob. 37CP
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- What is an experiment?arrow_forward1. What is stated by the alternative hypothesis... What is stated by the alternative hypothesis (H1) for an ANOVA? There are no differences between any of the population means. At least one of the population means is different from another mean. All of the population means are different from each other. O None of these answers is correct.arrow_forwardBelow is the question I am having a problem with as well as the portion of the answer I have come up with. I do not know if I am right or not, but I need an explanation to understand this, please. What information does the F ratio on the SPSS output for an independent sample T test provide? That is, what assumption does it test. A researcher might use the independent sample t test when he assumes that there will be equal mean populations between to variances. To calculate the independent sample t test, one would use this formula: t = m1-m2 SEm1-m2arrow_forward
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