Did this data meet the assumption of homogeneity of variance?

wponepn09
timer Asked: Nov 29th, 2018

Question Description

13.Did this data meet the assumption of homogeneity of variance?

14.Was there a significant difference?

15.What t value did you use to determine your answer to the above question?

16. Which hypothesis was SUPPORTED?

17.What was the effect size, include your calculated value, and comment on if the difference made a difference?

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INDEPENDENT t TEST In this example we tested the hypothesis that females would score significantly higher than males on a high School Math test administered to an indigenous group of youth. 13. Did this data meet the assumption of homogeneity of variance? 14. Was there a significant difference? 15. What t value did you use to determine your answer to the above question? 16. Which hypothesis was SUPPORTED? 17. What was the effect size, include your calculated value, and comment on if the difference made a difference? 1 INDEPENDENT t TEST In this example we tested the hypothesis that females would score significantly higher than males on a high School Math test administered to an indigenous group of youth. 13. Did this data meet the assumption of homogeneity of variance? 14. Was there a significant difference? 15. What t value did you use to determine your answer to the above question? 16. Which hypothesis was SUPPORTED? 17. What was the effect size, include your calculated value, and comment on if the difference made a difference? ANOVA In this study we wanted to determine if there was a significant difference in a respondent’s age and their concern about youth using Marijuana (Not Very Concerned, Concerned, and Very Concerned). Here are the results of the 1 Way ANOVA 1 18. In this study what is the Dependent variable? 19. Did this analysis meet the assumption of homogeneity of variance? 20. Was there an overall significant difference? 21. Which pairs of differences contributed to your answer to the above question? 22. What was the effect size; and what are your conclusions about this study and analysis? CORRELATION REGRESSION Dillard’s Corporate conducted an analysis to determine if there was a significant association between the number of sales associate customer contacts per hour and the number of customer purchase per hour. The randomly selected 339 sales associates and tracked the number of customers they greeted per hour and the number of customers who purchased at least 1 item per hour. Here are their results. 2 23. What proportion of the variance in customers purchasing (coefficient of determination) is accounted for by number of sales associate contacts per hour? 24. What if Dillard’s could motivate their sales associates to greet 4 customers per hour; what would be the number of customers who purchase 1 item or more? Include your regression equation and your calculated value. CHI SQUARE The following chi square results were generated from a sample of individuals who were arrested and convicted of a drug offense in 2017. We wanted to know if there was a significant relationship between citizenship status and the Arizona County where they were arrested. Our hypothesis was that there would be more Non-Citizen arrests in Pima County because it is closer the border. 3 25. Was there a significant association between citizenship status and county 4 26. What percent of the total felons were arrested and tried in Pima County? 27. In reviewing these results the residuals were quite large. What pairs DID NOT have a significant residual? 28. What was the effect size and what is your interpretation? 29. – 33. BRIEFLY explain why YOU think the results occurred in this way. In other words, what is your theory that would explain the differences between the expected and observed values? 5
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