Essentials of Statistics for the Behavioral Sciences
8th Edition
ISBN: 9781133956570
Author: Frederick J Gravetter, Larry B. Wallnau
Publisher: Cengage Learning
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Chapter 13.3, Problem 2LCA
a.
To determine
To find: The
b.
To determine
To find: The
c.
To determine
To find:
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The following data were obtained from an independent-measures study comparing three treatment conditions.
Treatment
I
II
III
4
3
8
N = 12
3
1
4
G = 48
5
3
6
ΣX2 = 238
4
1
6
M = 4
M = 2
M = 6
T = 16
T = 8
T = 24
SS =2
SS = 4
SS = 8
conduct a post hoc analysis with Tukey’s HSD
Another experiment involving processor speed (Sp) and size of random access memory (RAM) for computers produced the following data
Sp1
Sp2
RAM 1
48
37
38
35
37
39
RAM 2
30
35
31
22
26
30
Are the factors Sp and RAM or their interaction statistically significant?
The following data are obtained from a study that seeks to investigate theeffects of an intervention program and the extent of their physical disability on their reading, math and IQ scores. The students who had been recipients of an intervention program are in the treatment group and while those who are not are in the control group.
Questions:1. Is there a significant difference in the math, reading and IQ scores ofstudents in the treatment and controlgroups?2. Is the intervention program effective?3. Is there a significant difference in the math, reading and IQ scores ofstudentswhen they are grouped according to the extent of their physicaldisability?4. Isthereasignificantinteractionbetweentreatmentandextentofdisabilityonthe students’ reading, math and IQscores?
Chapter 13 Solutions
Essentials of Statistics for the Behavioral Sciences
Ch. 13.2 - The F-ratio for the repeated-measures ANOVA is...Ch. 13.2 - A repeated-measures study is used to evaluate the...Ch. 13.2 - Prob. 2LCACh. 13.2 - Prob. 3LCACh. 13.2 - Prob. 1LCBCh. 13.2 - Prob. 2LCBCh. 13.3 - Prob. 1LCCh. 13.3 - It is impossible to have an interaction unless you...Ch. 13.3 - Prob. 1LCACh. 13.3 - Prob. 2LCA
Ch. 13.3 - Prob. 3LCACh. 13 - How does the denominator of the F-ratio (the error...Ch. 13 - The repeated-measures ANOVA can be viewed as a...Ch. 13 - A researcher conducts an experiment comparing...Ch. 13 - Prob. 4PCh. 13 - A researcher uses a repeated-measures ANOVA to...Ch. 13 - A published report of a repeated-measures research...Ch. 13 - A recent study examined how applicants with a...Ch. 13 - One of the primary advantages of a...Ch. 13 - The following data are from an experiment...Ch. 13 - A researcher is evaluating customer satisfaction...Ch. 13 - The following summary table presents the results...Ch. 13 - A recent study indicates that simply giving...Ch. 13 - Prob. 14PCh. 13 - The endorphins released by the brain act as...Ch. 13 - Prob. 16PCh. 13 - Explain what happens during each of the two stages...Ch. 13 - The following matrix presents the results from an...Ch. 13 - The following matrix presents the results of a...Ch. 13 - A researcher conducts an independent-measures,...Ch. 13 - Prob. 21PCh. 13 - Prob. 22PCh. 13 - Example 13.1 in this chapter described a...Ch. 13 - The following table summarizes the results from a...Ch. 13 - The following data are from a two-factor study...Ch. 13 - Research indicates that paying students to improve...Ch. 13 - A researcher examining the jet lag that people...Ch. 13 - Prob. 2RECh. 13 - Briefly describe what is meant by an interaction...Ch. 13 - Most sports injuries are immediate and obvious,...
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- Is there a significant difference between the population means of group 1 and group 2 kindergarten children on a social perceptiveness measures at 0.05 level? Consider the data below Group 1 Group 2Mean 21.3 18.1Sd 5.8 7.5N 15 10arrow_forwardThe data below are from an independent-measures experiment comparing three different treatment conditions. Treatment 1 Treatment 2 Treatment 3 0 1 4 0 4 3 0 1 6 2 0 3 Find the following: SS within:arrow_forwardA paper investigated the driving behavior of teenagers by observing their vehicles as they left a high school parking lot and then again at a site approximately 1 2 mile from the school. Assume that it is reasonable to regard the teen drivers in this study as representative of the population of teen drivers. MaleDriver FemaleDriver 1.4 -0.2 1.2 0.5 0.9 1.1 2.1 0.7 0.7 1.1 1.3 1.2 3 0.1 1.3 0.9 0.6 0.5 2.1 0.5 (a) Use a .01 level of significance for any hypothesis tests. Data consistent with summary quantities appearing in the paper are given in the table. The measurements represent the difference between the observed vehicle speed and the posted speed limit (in miles per hour) for a sample of male teenage drivers and a sample of female teenage drivers. (Use ?males − ?females. Round your test statistic to two decimal places. Round your degrees of freedom down to the nearest whole number. Round your p-value to three decimal places.) t = df =…arrow_forward
- The data below are from an independent-measures experiment comparing three different treatment conditions. Treatment 1 Treatment 2 Treatment 3 0 1 4 0 4 3 0 1 6 2 0 3 Find the following: SS between:arrow_forwardA paper investigated the driving behavior of teenagers by observing their vehicles as they left a high school parking lot and then again at a site approximately 1 2 mile from the school. Assume that it is reasonable to regard the teen drivers in this study as representative of the population of teen drivers. MaleDriver FemaleDriver 1.3 -0.3 1.3 0.6 0.9 1.1 2.1 0.7 0.7 1.1 1.3 1.2 3 0.1 1.3 0.9 0.6 0.5 2.1 0.5 (a) Use a .01 level of significance for any hypothesis tests. Data consistent with summary quantities appearing in the paper are given in the table. The measurements represent the difference between the observed vehicle speed and the posted speed limit (in miles per hour) for a sample of male teenage drivers and a sample of female teenage drivers. (Use ?males − ?females. Round your test statistic to two decimal places. Round your degrees of freedom down to the nearest whole number. Round your p-value to three decimal places.) t = df =…arrow_forwardIn the book Business Research Methods (5th ed.), Donald R. Cooper and C. William Emory discuss studying the relationship between on-the-job accidents and smoking. Cooper and Emory describe the study as follows: Suppose a manager implementing a smoke-free workplace policy is interested in whether smoking affects worker accidents. Since the company has complete reports of on-the-job accidents, she draws a sample of names of workers who were involved in accidents during the last year. A similar sample from among workers who had no reported accidents in the last year is drawn. She interviews members of both groups to determine if they are smokers or not. The sample results are given in the following table. On-the-Job Accident Smoker Yes No Row Total Heavy 12 5 17 Moderate 9 10 19 Nonsmoker 13 17 30 Column total 34 32 66 Expected counts are below observed counts Accident No Accident Total Heavy 12 5 17 8.76 8.24…arrow_forward
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