Directions: Use theBivatiate Correlation function and the Options submenu to answereach of the questions based on the above scenario.
The superintendent has continued theexamination of data by examining the relationship betweenattendance rate and percent of students eligible for free orreduced priced lunch. The district data used for the analysis arecontained below.
School | % Free orReduced | Attendance Rate | 1 | 47.0 | 94.8 | 2 | 31.1 | 96.1 | 3 | 58.9 | 94.9 | 4 | 40.9 | 94.2 | 5 | 24.1 | 95.7 | 6 | 50.4 | 94.8 | 7 | 54.7 | 93.8 | 8 | 60.1 | 92.6 | 9 | 49.6 | 93.6 | 10 | 42.9 | 93.8 | 11 | 38.1 | 92.8 |
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School | % Free or Reduced | Attendance Rate | 12 | 27.2 | 99.7 | 13 | 58.4 | 93.4 | 14 | 52.4 | 93.6 | 15 | 58.4 | 94.6 | 16 | 64.9 | 93.0 | 17 | 75.5 | 92.3 | 18 | 30.6 | 95.1 | 19 | 79.4 | 92.8 | 20 | 67.3 | 92.6 | 21 | 56.7 | 95.5 | 22 | 74.7 | 91.8 |
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- What is the mean percent of students receiving free or reducedlunch? What is the mean attendance rate?
51.97 free orreduced
94.16 attendance
- What are the standard deviations for the percent of studentsreceiving free or reduced lunch and attendance rate?
15.68 free orreduced
1.71 attendance
- State an appropriate null hypothesis for this analysis.
- What is the value of the correlation coefficient?
- Based on the value of the correlation coefficient, how wouldyou classify the strength of this relationship?
- Based on the information from the scenario, what is theappropriate value for the degrees of freedom?
- What is the reported level of significance?
- Present the results as they might appear in an article. Thismust include a table and narrative statement that reports andinterprets the results of your analysis.
Note: The table must be created usingyour word processing program. Tables that are copied and pastedfrom SPSS are not acceptable.
