Question

In: Statistics and Probability

A researcher working for a Silicon Valley startup was interested in understanding differences in the productivity...

  1. A researcher working for a Silicon Valley startup was interested in understanding differences in the productivity of Uber drivers and traditional taxi cab drivers. She selected a random sample of 18 drivers and compared the number of rides each gave on the previous day. The data representing the number of rides given in the previous day are shown below. Using these data and a .05 level of significance, test the null hypothesis that Uber drivers and taxicab drivers do not differ with respect to number of rides per day. Make sure to report the critical value and obtained value of the test statistic, and interpret the meaning of your decision about the hypothesis.

              Uber               Taxicab   

                18                      13

                19                      18

                15                       9

                12                      11

                18                      16

                22                      21

                14                       8

                18                      16

                23                       

                11                        

Solutions

Expert Solution

We use Excel to solve this question-

From F test P-value > 0.05 therefore we use pooled standard deviation.
The null and alternative hypothesis are,


Critical value = 2.120
Obtained Value of test statistic = 1.496
P-value=0.1541
P-value > 0.05, Do not Reject Ho
Conclusion-
Fail to reject Ho, There is insufficient evidence to say Uber drivers and taxicab drivers differ with respect to number of rides per day.


Related Solutions

A researcher is interested in understanding if there is a statistically significant difference between people in...
A researcher is interested in understanding if there is a statistically significant difference between people in different marital status in terms of their level of general happiness.  Marital status was measured as follows: 1. Married, 2. Widowed, 3. Divorced, 4. Separated, and 5. Never married.  General happiness was measured as follows: 1. Very happy, 2. Pretty happy, and 3. Not too happy.         To test his hypothesis, the researcher ran the Analysis of Variance (ANOVA), and he obtained the following output table. ANOVA...
A researcher is interested in understanding the effect of college education on wages. The workers in...
A researcher is interested in understanding the effect of college education on wages. The workers in one group have earned an AA (associate's) degree while members of the other group hold at least a bachelor's degree. The researcher would like to run a hypothesis test with α = .05 to see if those with a bachelor's degree have significantly higher hourly wages than those with an associate's degree. Bachelor's degree Participant Hourly wage 1 13.25 2 12.25 3 11.60 4...
A social researcher is interested in understanding the effect of college education on wages. The workers...
A social researcher is interested in understanding the effect of college education on wages. The workers in one group have earned an associate’s degree while members of the other group hold at least a bachelor’s degree. He would like to run a hypothesis test with α = .10 to see if those with a bachelor’s degree have significantly higher hourly wages than those with an associate’s degree. Bachelor’s degree Associate’s degree Participant Hourly wage Participant Hourly wage 1 11.25 11...
A social researcher is interested in understanding the effect of college education on wages. The workers...
A social researcher is interested in understanding the effect of college education on wages. The workers in one group have earned an associate’s degree while members of the other group hold at least a bachelor’s degree. He would like to run a hypothesis test with α = .10 to see if those with a bachelor’s degree have significantly higher hourly wages than those with an associate’s degree. Bachelor’s degree Associate’s degree Participant Hourly wage Participant Hourly wage 1 11.25 11...
A researcher working for a drug company is interested in investigating the effect of storage  on the...
A researcher working for a drug company is interested in investigating the effect of storage  on the potency of one of the company’s drugs. 10 freshly produced bottles of the drug were  randomly selected and the potency measured. Another 10 freshly produced bottles of the  drug were randomly chosen and stored under controlled conditions for six months before  the potency was measured. Summary statistics are displayed below: Storage  n  Mean Std. Deviation  Fresh 10 10.37 0.3234 Stored 10 9.83 0.2406 (a) Carry out a t‐test to investigate...
A corrections researcher is interested in gender differences in the amount of bail that arrestees have...
A corrections researcher is interested in gender differences in the amount of bail that arrestees have to pay. The data for this study is in the Excel data file, under the tab labeled Question 2. Conduct a t-test: Two-Sample Assuming Equal Variances. Men: 1000,300,1500,200,500,150,1000,500,1200 Females: 500, 250, 100,200, 200, 250,100,150,100 a. What is the null hypothesis? b. What is the research hypothesis? c. Why run a Two-Sample Assuming Equal Variances t-test? d. Interpret the findings. What are the results of...
A researcher is interested in examining whether there are differences in students’ sense of safety across...
A researcher is interested in examining whether there are differences in students’ sense of safety across schools. She selects three schools and surveys five students from each school. The tab labeled Question 3 reflects the answers from this survey—the higher the score, the safer the student feels. Is there a difference between these schools in the students’ sense of safety? School A School B School C 3 2 4 3 2 4 3 2 3 4 1 4 4 3...
what makes Austin, Boston and Silicon Valley innovative ecosystem?
what makes Austin, Boston and Silicon Valley innovative ecosystem?
A sociologist who studies guns is interested in understanding the differences in gun ownership across the...
A sociologist who studies guns is interested in understanding the differences in gun ownership across the United States, particularly if there is a difference in number of guns owned per household in Majority Republican States (n=18) vs. Majority Democrat States (n=22). 10 states do not have a political lean. (2018 data (Links to an external site.)). Sociological note: guns, gun violence, and gun ownership are currently under-studied in the US, particularly because of the lack of funding and data available...
Show all work please A researcher is interested in understanding the predictors of why individuals bully...
Show all work please A researcher is interested in understanding the predictors of why individuals bully other individuals.  She collects the following data. ID of Respondent # of Friends who Bully Respondent was a Bully Victim (0 = No; 1 = Yes) Gender (0 = Female; 1 = Male) # of Times Respondent Bullied Others 1 2 1 1 5 2 4 1 0 2 3 3 0 1 8 4 2 0 0 4 5 6 1 1 6 6...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT