Essentials of Statistics for the Behavioral Sciences
8th Edition
ISBN: 9781133956570
Author: Frederick J Gravetter, Larry B. Wallnau
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Videos
Question
Chapter 13, Problem 16P
To determine
To describe: The mean differences that are evaluated by each of the three hypothesis test that makes up a two factor ANOVA.
Expert Solution & Answer
Trending nowThis is a popular solution!
Students have asked these similar questions
When looking at the matrix for a two-way ANOVA, which means (row, column, or cell means) do we look at to assess if there is an interaction effect?
just row means
just column means
cell means
row and column means
The structure of a two-factor study can be presented as a matrix with a level of one factor determining the rows and the levels of the second factor determining the columns. With this structure in mind, describe the mean differences that are evaluated by each of the three hypothesis test that make up a two-factor ANOVA
The structure of a two-factor study can be presented as a matrix with the levels of one factordetermining the rows and the levels of the second factor determining the columns. With thisstructure in mind, describe the mean differences that are evaluated by each of the threehypothesis tests that make up a two-factor ANOVA.
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,...
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- A researcher is examining the effects of weight status and hunger on eating behavior. In this 2 X 2 factor study, participants (obese vs. normal weight) are randomly assigned to participate in one of two hunger status conditions (full stomach vs. empty stomach). Then during the study, participants are presented with crackers to eat. The researcher is looking to see if weight status, hunger status and an interaction between the two influence eating behavior. Considering this data, what would be the statistical and null hypothesis for the main effect for weight status? Select one: a. H1: μobese = μnormal weight Ho: μobese ≠ μnormal weight b. H1: μfull stomach ≠ μempty stomach Ho: μfull stomach = μempty stomach c. H1: μfull stomach = μempty stomach, Ho: μfull stomach ≠ μempty stomach d. H1: μobese ≠ μnormal weight Ho: μobese = μnormal weightarrow_forwardKatrina Bell, analyst for the Hexaco Oil Company, has been assigned the task of investigating the claim that Hexaco dealers charge more for unleaded gasoline than do independent dealers. Katrina is afraid that if she chooses two independent random samples of stations for each type of dealer, the variability in price due to geographic location might be a factor. To eliminate this source of variability, she chooses a pair of stations : one independent and one Hexaco in close geographic proximity of each region. The results of the sampling are in Sheet 47. What should Katrina conclude at the 0.01 significance level? Hexaco Independent 90,5 89,9 91,9 90,9 92,7 90,9 91,9 90,9 93,6 91,8 89,9 90,9 90,9 90,9 89,8 88,9 88,7 88,9 87,9 88,6 92,7 91,9 Select one:…arrow_forwardAnd conduct a two-factor ANOVA to investigate the effects of gender (The name of the variable in SPSS is "gender" and it has two levels, "male" vs. "female") and "minority classification" (In SPSS, the name of the variable is "minority", its label is "Minority Classification" ,and it has two levels "yes" and "no"; referring to whether an individual is part of a minority or not ) on beginning salary a. What are the independent variables and what are the two levels or conditions of each independent variable?arrow_forward
- A psychologist conducts a 2 x 3 x 2 ANOVA. How many main effects are possible? How many interactions are possible?arrow_forwardThe correlation coefficient between factor score and the variables included in the study is known as: a. Component Matrix b. Rotated Component Matrix c. Communalitiesarrow_forwardAnd conduct a two-factor ANOVA to investigate the effects of gender (The name of the variable in SPSS is "gender" and it has two levels, "male" vs. "female") and "minority classification" (In SPSS, the name of the variable is "minority", its label is "Minority Classification" ,and it has two levels "yes" and "no"; referring to whether an individual is part of a minority or not ) on beginning salary (In SPSS the name of the variable is "salbegin", and its label is "Beginning Salary). Use α = .05 a. If the main effect of Minority Classification is significant, describe the main effect of Minority Classification. Include the overall means and corresponding standard deviations in your description. Example = If there is a main effect of maternal diet, is the main effect of maternal diet significant? Why? Provide F-statistic, df of numerator, df of denominator, and p- value? Yes, the main effect of maternal diet is significant because p is less than alpha, F(1,16) = 40.67, p = .0001arrow_forward
- And conduct a two-factor ANOVA to investigate the effects of gender (The name of the variable in SPSS is "gender" and it has two levels, "male" vs. "female") and "minority classification" (In SPSS, the name of the variable is "minority", its label is "Minority Classification" ,and it has two levels "yes" and "no"; referring to whether an individual is part of a minority or not ) on beginning salary (In SPSS the name of the variable is "salbegin", and its label is "Beginning Salary). Use α = .05 a. What are the independent variables and what are the two levels or conditions of each independent variable? b. State the three alternative hypotheses in words. State the alternative hypothesis of the interaction in terms of whether the effects of he effect of Minority Classification on Beginning Salary depend on the levels of Gender (i.e., on whether you are a male or a female)arrow_forwardAnd conduct a two-factor ANOVA to investigate the effects of gender (The name of the variable in SPSS is "gender" and it has two levels, "male" vs. "female") and "minority classification" (In SPSS, the name of the variable is "minority", its label is "Minority Classification" ,and it has two levels "yes" and "no"; referring to whether an individual is part of a minority or not ) on beginning salary (In SPSS the name of the variable is "salbegin", and its label is "Beginning Salary). Use α = .05 a.If there is a main effect of gender, is the main effect of gender significant? Why? Provide F-statistic, df of numerator, df of denominator, and p- value?arrow_forwardAnd conduct a two-factor ANOVA to investigate the effects of gender (The name of the variable in SPSS is "gender" and it has two levels, "male" vs. "female") and "minority classification" (In SPSS, the name of the variable is "minority", its label is "Minority Classification" ,and it has two levels "yes" and "no"; referring to whether an individual is part of a minority or not ) on beginning salary (In SPSS the name of the variable is "salbegin", and its label is "Beginning Salary). Use α = .05 a. If the Gender by Minority Classification interaction is significant, describe the interaction. Include individual means and their corresponding standard deviations in your description.arrow_forward
- And conduct a two-factor ANOVA to investigate the effects of gender (The name of the variable in SPSS is "gender" and it has two levels, "male" vs. "female") and "minority classification" (In SPSS, the name of the variable is "minority", its label is "Minority Classification" ,and it has two levels "yes" and "no"; referring to whether an individual is part of a minority or not ) on beginning salary (In SPSS the name of the variable is "salbegin", and its label is "Beginning Salary). Use α = .05 a. If the main effect of Minority Classification is significant, describe the main effect of Minority Classification. Include the overall means and corresponding standard deviations in your description.arrow_forwardAnd conduct a two-factor ANOVA to investigate the effects of gender (The name of the variable in SPSS is "gender" and it has two levels, "male" vs. "female") and "minority classification" (In SPSS, the name of the variable is "minority", its label is "Minority Classification" ,and it has two levels "yes" and "no"; referring to whether an individual is part of a minority or not ) on beginning salary (In SPSS the name of the variable is "salbegin", and its label is "Beginning Salary). Use α = .05 a. If there is an interaction, is the interaction significant? That is, does the effect of Minority Classification on Beginning Salary depend on the levels of Gender(i.e., on whether you are a male or a female)? Why? Provide F-statistic, df of the numerator, df of the denominator , and p-value.arrow_forwardWhy is it important to maximize the degree to which samples and data used to train or build algorithms are representative of the population?arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSON
The Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. Freeman
Introduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman
MATLAB: An Introduction with Applications
Statistics
ISBN:9781119256830
Author:Amos Gilat
Publisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...
Statistics
ISBN:9781305251809
Author:Jay L. Devore
Publisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...
Statistics
ISBN:9781305504912
Author:Frederick J Gravetter, Larry B. Wallnau
Publisher:Cengage Learning
Elementary Statistics: Picturing the World (7th E...
Statistics
ISBN:9780134683416
Author:Ron Larson, Betsy Farber
Publisher:PEARSON
The Basic Practice of Statistics
Statistics
ISBN:9781319042578
Author:David S. Moore, William I. Notz, Michael A. Fligner
Publisher:W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:9781319013387
Author:David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:W. H. Freeman
Introduction to experimental design and analysis of variance (ANOVA); Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=vSFo1MwLoxU;License: Standard YouTube License, CC-BY