Excel spreadsheet
Instructions
| Final Exam for POL 221 |
| Please type in the answers to all of the questions in the highlighted cells. |
| Let me know if you have any questions. |
| Due: Wednesday, May 5th, by 9:00 pm in the D2L Assignment Dropbox. |
| Each problem is on a separate Excel sheet. Look down at the bottom left of the page to find the sheets. |
| Be sure to complete all 4 problems. 40 points total. |
| Name: |
Problem 1
| Problem 1 (10 points total) | ||||
| A new automatic door system was installed at the Mankato Justice Center. The manufacturer of the new door system says that it can be expected that the system will | ||||
| average 4 door faults per week. A door fault is when a door sensor opens or closes a door unexpectedly. The Justice Center staff has collected 16 weeks of door fault data. | ||||
| Can we say with 95% confidence that the new automatic door system is triggered more door faults than it should? | ||||
| Week | Door faults | Type Answers in the Spaces Below | ||
| 1 | 5 | H0: | ||
| 2 | 3 | H1: | ||
| 3 | 5 | mu: | ||
| 4 | 8 | N: | ||
| 5 | 5 | Sample average: | ||
| 6 | 2 | Sample standard deviation: | ||
| 7 | 9 | t: | ||
| 8 | 1 | Level of confidence: | ||
| 9 | 1 | Alpha level: | ||
| 10 | 0 | t-alpha: | ||
| 11 | 7 | Reject H0? (Yes or No): | ||
| 12 | 6 | Interpretation: | ||
| 13 | 8 | |||
| 14 | 8 | |||
| 15 | 10 | |||
| 16 | 4 | |||
| When finished, go on to problem 2 in the sheet tab below that says "Problem 2" |
Problem 2
| Problem 2 (10 points) | ||||||
| Management hires a motivational consultant to help a struggling sales team improve their sales. The motivational consultant holds a seminar with the | ||||||
| sales team to try to motivate them to improve their sales techniques. Below are the number of sales for each salesperson. Can we say with | ||||||
| 95% confidence that the consultant's seminar helped improve sales? | ||||||
| Salesperson | Sales before seminar | Sales after seminar | d = x1 - x2 | Type Answers in the Spaces Below | ||
| Joey Tribbiani | 49 | 47 | H0: | |||
| Monica Geller | 61 | 80 | H1: | |||
| Ross Geller | 52 | 56 | N: | |||
| Pheobe Buffay | 48 | 48 | Mu of d: | |||
| Rachel Green | 57 | 55 | Sample Average of d: | |||
| Chandler Bing | 55 | 53 | Sample Standard Deviation of d: | |||
| "Gunther" | 41 | 48 | Level of Confidence: | |||
| Mr. Heckles | 27 | 29 | Alpha Level: | |||
| "Fun" Bobby | 38 | 42 | t: | |||
| Richard Burke | 47 | 55 | t-Alpha: | |||
| Ursula Buffay | 48 | 48 | Reject H0? (Yes or no): | |||
| Eddie Menuek | 40 | 44 | Interpretation: | |||
| Janice Hosenstein | 41 | 46 | ||||
| Jack Geller | 37 | 41 | ||||
| Frank Buffay Jr. | 29 | 36 | ||||
| When finished, go on to problem 3 in the sheet tab below that says "Problem 3" |
Problem 3
| Problem 3 (10 points) | ||||
| The city administrator is curious whether or not residents in high density residential units produce less trash than residents in single family dwellings. A random sample of | ||||
| individuals from each type of residential dwelling (high density or single family) were selected and the pounds of trash per day for each of these individuals was approximated. | ||||
| Can we say with 95% confidence that high density residential units produce less trash than residents in single family dwellings? (All data below is in pounds of trash per day) | ||||
| High Density | Single Family | Type Answers in the Spaces Below | ||
| 3 | 4.7 | Question Hypothesis H0 | ||
| 3.1 | 5 | Question Hypothesis H1 | ||
| 5.8 | 4 | Intermediate Hypothesis H0 | ||
| 4.9 | 6.8 | Intermediate Hypothesis H1 | ||
| 4.1 | 4.2 | Level of Confidence | ||
| 2.6 | 3.4 | Alpha Level | ||
| 3.7 | 3.8 | Variance for x1 | ||
| 4.5 | 3.7 | Variance for x2 | ||
| 3.1 | 3 | Did you reject H0 in your Intermediate Hypothesis? | ||
| 2.9 | 7.1 | Did you reject H0 in your Question Hypothesis? | ||
| 3.8 | 4.5 | Interpretation | ||
| 4 | 3.7 | |||
| 3.9 | 3.5 | |||
| 3.6 | 4 | |||
| 5 | 5.6 | |||
| 3.1 | ||||
| When finished, go on to problem 4 in the sheet tab below that says "Problem 4" |
Problem 4
| Problem 4 (10 points) | |||||
| Do more officers out on patrol lead to more parking tickets are given out? | |||||
| Do a scatter plot, correlation, and regression analysis to analyze the following data. | |||||
| City | Number of officers | Number of parking tickets | Write your answers here: | ||
| Redwood Falls | 10 | 69 | Name: | ||
| Austin | 22 | 107 | Correlation coefficient: | ||
| Rochester | 42 | 182 | Correlation interpretation: | ||
| Fairmont | 13 | 71 | b0: | ||
| Waseca | 9 | 57 | Interpretation of b0: | ||
| Bemidji | 14 | 91 | b1: | ||
| Cass Lake | 6 | 50 | pvalue for x1: | ||
| Cloquet | 6 | 74 | Interpretation of b1 and p-value: | ||
| Hibbing | 8 | 67 | Significance of F-test: | ||
| Walker | 11 | 98 | Interpretation of Significance of F-test: | ||
| Detroit Lakes | 17 | 95 | R-squared: | ||
| Hinckley | 8 | 87 | Interpretation of R-squared: | ||
| Black Duck | 5 | 45 | |||
| Place scatterplot below ↓↓↓↓↓ | |||||
| When finished with all four problems, please save this file and upload it | |||||
| into the Final Exam Assignment Dropbox on the D2L/BrightSpace site. | |||||