EBK BUSINESS STATISTICS
7th Edition
ISBN: 9780134462783
Author: STEPHAN
Publisher: PEARSON CUSTOM PUB.(CONSIGNMENT)
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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
( What kind of statistical analysis do you need to use and why?
State the null and alternative hypotheses.
Check your assumptions. Include screenshots of your R output and explain why each of them are or are not met.
Using R, run your analysis and include a screenshot.
Using R, run post-hoc tests and include a screenshot.
What do you…
The report "Who Borrows Most? Bachelor's Degree Recipients with High Levels of Student Debt"+ reported the following percentiles for amount of student debt for those graduating with a bachelor's degree in 2010.
10th percentile = $0
25th percentile = $0
50th percentile = $11,000 75th percentile = $24,600
90th percentile = $39,300
For each of these percentiles, interpret the value of the percentile. (Select all that apply.)
10th percentile
At least 10% of students owe nothing.
Less than 10% of students owe nothing.
At most 10% of students owe nothing.
25th percentile
O At least 25% of students owe nothing.
Less than 25% of students owe nothing.
At most 25% of students owe nothing.
50th percentile
O 50% of the students owe $11,000 or less.
O 50% of the students owe exactly $11,000.
50% of the students owe at least $11,000.
75th percentile
75% of the students owe $24,600 or less.
75% of the students owe exactly $24,600.
O 75% of the students owe more than $24,600.
90th percentile
90% of…
A survey is conducted to understand the relationship between income and job satisfaction, what is the dependent variable in this scenario?
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- What does the y -intercept on the graph of a logistic equation correspond to for a population modeled by that equation?arrow_forwardAccording to the World Health Organization, obesity has reached epidemic proportions globally. While obesity has generally been linked with chronic disease and disability, researchers argue that it may also affect wages. In other words, the body mass index (BMI) of an employee is a predictor for salary. (A person is considered overweight if his/her BMI is at least 25 and obese if BMI exceeds 30.) The accompanying data file includes salary (in $1,000s) for 30 college-educated men with their respective BMI and a dummy variable that represents 1 for a white man and 0 otherwise. Salary BMI White 34 33 1 43 26 1 44 26 1 34 35 0 34 36 1 53 20 1 42 20 0 37 26 1 35 28 1 46 22 1 46 20 1 34 35 0 45 26 1 33 34 0 25 29 0 32 30 1 46 18 0 31 31 0 54 19 1 37 23 0 42 27 1 38 30 1 45 18 0 38 26 0 41 28 1 39 28 1 50 20 1 41 26 1 38 28 1 45 21 1 1. Estimate a model for Salary with BMI and White as the predictor variables. Note: Negative…arrow_forwardplease help me answer this for my data analysis classarrow_forward
- You may need to use the appropriate appendix table or technology to answer this question. In a study entitled How Undergraduate Students Use Credit Cards, it was reported that undergraduate students have a mean credit card balance of $3,173. This figure was an all-time high and had increased 44% over the previous five years. Assume that a current study is being conducted to determine if it can be concluded that the mean credit card balance for undergraduate students has continued to increase compared to the original report. Based on previous studies, use a population standard deviation ? = $1,000. (a) State the null and alternative hypotheses. H0: ? < 3,173 Ha: ? ≥ 3,173 H0: ? = 3,173 Ha: ? ≠ 3,173 H0: ? > 3,173 Ha: ? ≤ 3,173 H0: ? ≥ 3,173 Ha: ? < 3,173 H0: ? ≤ 3,173 Ha: ? > 3,173 (b) What is the test statistic for a sample of 170 undergraduate students with a sample mean credit card balance of $3,305? (Round your answer to two decimal places.) What is…arrow_forwardColor blindness, or dyschromatopsia, is a form of genetic deficiency in color perception. The condition is much more prevalent among males than females, pointing to a genetic connection with the X chromosome. The frequency of dyschromatopsia in the Caucasian American male population is about 8%. However, it is thought that this proportion might be smaller among males of other ethnicities. We want to estimate the proportion of Asian American males who are color-blind. How large a sample size do we need in order to obtain a 95% confidence interval with a margin of error no greater than 4%, or 0.04? n=__________arrow_forwardCheck My Work (5 remaining) Each year, over 2 million people in the United States become infected with bacteria that are resistant to antibiotics. In particular, the Centers of Disease Control and Prevention has launched studies of drug-resistant gonorrhea (CDC.gov website). Of 142 cases tested in Alabama, 9 were found to be drug-resistant. Of 268 cases tested in Texas, 5 were found to be drug-resistant. Do these data suggest a statistically significant difference between the proportions of drug- resistant cases in the two states? Use a 0.02 level of significance. What is the p-value, and what is your conclusion? Test statistic = (to 2 decimals) p-value = (to 4 decimals) Conclusion: Reject the null hypothesis Choose the correct option. There is a significant difference in drug resistance between the two states. Alabama has the higher drug resistance rate. Truearrow_forward
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