Question
SENATE ATTENDANCE DATA DATE AM Attendance PM Attendance 1 50 69 2 66 85 3 73 88 4 84 70 5 57 84 6 83
SENATE ATTENDANCE DATA | ||
DATE | AM Attendance | PM Attendance |
1 | 50 | 69 |
2 | 66 | 85 |
3 | 73 | 88 |
4 | 84 | 70 |
5 | 57 | 84 |
6 | 83 | 78 |
7 | 76 | 90 |
8 | 95 | 97 |
9 | 73 | 79 |
10 | 78 | 95 |
11 | 48 | 67 |
12 | 53 | 60 |
13 | 54 | 79 |
14 | 79 | 79 |
15 | 76 | 88 |
16 | 90 | 98 |
17 | 60 | 56 |
18 | 89 | 87 |
19 | 83 | 91 |
20 | 81 | 86 |
21 | 57 | 69 |
22 | 91 | 95 |
23 | 86 | 98 |
24 | 82 | 70 |
25 | 95 | 91 |
26 | 42 | 48 |
27 | 75 | 52 |
28 | 54 | 44 |
29 | 54 | 51 |
30 | 65 | 83 |
31 | 61 | 52 |
You want to check the Senator's assertion that he can predict afternoon attendance based on the same-morning attendance. Use appropriate statistical analysis methods and tools, with the data given, to test his assertion. Write out your complete statistical results. What do you think of the Senator's claim to be an excellent prognosticator of senate attendance? Why?Be sure to completely interpret each item in your analysis and the appropriate statistical test results.What is the significance (usefulness) of the results you developed, as a whole? (i.e. Are your analysis results statistically "useful" for predicting afternoon attendance in the Senate from same-morning attendance?) Use appropriate statistics from any printouts to support your answers.
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