$30 – STATISTICS 22 QUESTIONS, You Have One Week To Finish It!

21 Jul $30 – STATISTICS 22 QUESTIONS, You Have One Week To Finish It!

YOU HAVE ONE WEEK TO FINISH IT FROM MARCH/28/2017. I DO NOT REPLY TO EMAILS, AND I DO NOT NEGOTIATE TO PAY OUTSIDE THIS WEBSITE. Please submit your handshake and wait for a response from me!

 

I’LL PAY $30 ONLY, DO NOT ASK HOW MUCH AFTER REQUESTING A HANDSHAKE

 

Please handshake if you know statistics and you can stand behind your work, I WILL dispute the transaction if you send wrong answers.

 

1. A study is conducted to determine if time of day has any effect on test grades. An introductory psychology class is selected for the study, because it has a standard curriculum taught across many sections. Two classes are selected for each time period: 8:00 AM, 1:00 PM, and 5:30 PM. Out of the total pool of around 40 students for each time period, 15 students are selected at random, for a total of 45. The test is administered to all students, and the test results for the study subjects are placed in SPSS. We want to know if there is a statistical difference between these time periods. What test is appropriate? _____________________________________________________________________

 

2. Hicks law predicts how long it will take a user to pick out a given element on a website page from among all the other elements on that page. Because a certain website will be used many thousands of times per year on an intranet, a major company engages a usability specialist to test whether the Hicks prediction holds on two proposed home page designs. Because the company is reluctant to have too many employees absent from work stations, it specifies that the test can involve only five individuals, and that therefore the same five people must test both proposed interfaces. We will want to know if there is a significant difference in the times for each interface. What is the appropriate test? _____________________________________________________________________

 

3. Laparoscopic surgery is a procedure for threading a small flexible tube within a patient’s body to explore or perform procedures. A recent study was conducted to see what skills a medical student new to laparoscopic surgery might have that would predict shorter learning times. One variable that was gathered was the amount of time a student had spent playing video games before starting his laparoscopic training. The researcher wants to see if the time spent gaming can predict the time needed to perfect laparoscopic skills. What would be the correct test to apply? _____________________________________________________________________

 

4. A large company is concerned about turnover, so it commissions a survey that will be given to a random group of 1000 employees. The company then wants to get a general idea of what the results would be in the larger population, but while it will look at significance indicators, it is not heavily interested in significance, but in an estimate of company‐wide results. What test would be proper to run here?_____________________________________________________________________

 

5. What is the best explanation for what the statistic R2means?

_____________________________________________________________________

 

6. What is a type I error?

_____________________________________________________________________

 

7. Given an R2 of .54, calculate the value of R.

_____________________________________________________________________

 

For the next 10 questions, use the Exel file “internet_usage” (1=male, 0=female) download from here: https://drive.google.com/file/d/0B-8vPBhgDGmdeHFjN1lCWTJET1k/view?usp=sharing

 

8. What is the figure for the F‐crit as shown in the ANOVA?

_____________________________________________________________________

 

9. Was the result significant?______________________________________________________________________

 

10. Interpret the result, including any significance.. _______________________________________________________________________

 

11. What is the figure for the R value as revealed by the correlation?

_______________________________________________________________________

 

12. Interpret the result in terms of fit and significance

___________________________________________________________________

 

13. What is the value of the Y intercept for this regression equation as shown by the completed analysis?

_______________________________________________________________________

 

14. What is the B1 coefficient for this regression equation as shown by the completed analysis?

_______________________________________________________________________

 

15. What is the R2 value for this regression as shown by the completed analysis?_______________________________________________________________________

 

16. What is the regression equation for this regression?

_______________________________________________________________________

 

17. What is the best interpretation of this regression?

_______________________________________________________________________

 

For the next 3 questions, (Use a .05 alpha) and use the Excel file “chi‐square_tickets” download from here: https://drive.google.com/file/d/0B-8vPBhgDGmddGgyQ1AzcG5YWHc/view?usp=sharing

 

18. What is the expected n for Cheyenne as shown in the chi‐square table?

_______________________________________________________________________

 

 

19. What is the significance of the final chi‐square as shown in the chi‐square table?

_______________________________________________________________________

 

 

20. What is the best interpretation of the result?

_______________________________________________________________________

 

 

For the next 2 questions, use the Excel file “chi‐square_tickets_severity” (1=lowest, 4=highest) from here: https://drive.google.com/file/d/0B-8vPBhgDGmdTGE3cjhwTDR0UVE/view?usp=sharing

 

 

21. Find the Pearson’s Chi‐Square.

_______________________________________________________________________

 

 

22. What is the best interpretation of this result? Is there any significant difference according to the Pearson Chi‐Square?

 

Thank you!