A psychologist believes that the age of an adolescent will have an impact on the number of phone calls made to the opposite sex (in heterosexual people) over the course of one month. They also suspect that gender of the adolescent will have an impact on the number of phone calls made to the opposite sex. Using the hypothetical data provided below, run your analyses in R to test whether age and gender impacts the number of phone calls an adolescent makes. Gender (Binary) Girl Boy Age Young Adolescents (11-14) 7, 2, 3, 5, 3 1, 2, 3, 2, 1 Older Adolescents (15-18) 15, 26, 19, 21, 18 10, 8, 5, 16, 9 1. Using R, run your analysis and include a screenshot. 2. Using R, run post-hoc tests and include a screenshot. 3. What do you conclude about the null hypothesis? 4. Create a plot of your interaction and include a screenshot. Explain what the plot is showing you about the p-values you calculated in your post-hoc test. 5. Explain what your p-values are telling you regarding the amount of phone calls made in adolescents based on age and gender.
A psychologist believes that the age of an adolescent will have an impact on the number of phone calls made to the opposite sex (in heterosexual people) over the course of one month. They also suspect that gender of the adolescent will have an impact on the number of phone calls made to the opposite sex. Using the hypothetical data provided below, run your analyses in R to test whether age and gender impacts the number of phone calls an adolescent makes.
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Gender (Binary) |
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|
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Girl |
Boy |
|
Age |
Young Adolescents (11-14) |
7, 2, 3, 5, 3 |
1, 2, 3, 2, 1 |
|
Older Adolescents (15-18) |
15, 26, 19, 21, 18 |
10, 8, 5, 16, 9 |
1. Using R, run your analysis and include a screenshot.
2. Using R, run post-hoc tests and include a screenshot.
3. What do you conclude about the null hypothesis?
4. Create a plot of your interaction and include a screenshot. Explain what the plot is showing you about the p-values you calculated in your post-hoc test.
5. Explain what your p-values are telling you regarding the amount of phone calls made in adolescents based on age and gender.
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