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 i

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 i

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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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. 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 = .0001
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)
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 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?
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 Gender by Minority Classification interaction is significant, describe the interaction. Include individual means and their corresponding standard deviations in your description.
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 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.
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 a. What are the independent variables and what are the two levels or conditions of each independent variable?
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 weight
In a two-way ANOVA, the main effect of a factor is the A. extent to which the factor produces dependent variable scores different from those the other factor produced. B. effect that changing the levels of the factor has on the dependent variable, taking into account all other factors in the study. C. effect that changing the levels of the factor has on the dependent variable, ignoring all other factors in the study. D. extent to which its effect depends on the other factor.
Katrina 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:…
For the two-way ANOVA considered in this module, both factors must be __________ factors.
If the results of a two-factor ANOVA show no main effect for factor A but show a significant interaction, then the results indicate that factor A has no effect on the subjects' scores. True or False
Two years ago the manager of a local supermarket that sells three national brands (brands A, B, and C) and one store brand (brand D) of orange juice found that brands A and C were equally preferred, 33% preferred brand B, and 27% preferred the store brand, D. Now, the manager thinks that there has been a change in customer preferences and that the preference for store-brand orange juice has increased and perhaps will positively contribute to increased profits. The results from a recent random sample of shoppers indicate the following preferences.Favorite brand A B C D (store brand)Number 56 70 28 126Has there been a change in customer preferences from the study 2 years ago?