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SCENARIO 14-15
The superintendent of a school district wanted to predict the percentage of students passing a sixthgrade proficiency test. She obtained the data on percentage of students passing the proficiency test (% Passing), mean teacher salary in thousands of dollars (Salaries), and instructional spending per pupil in thousands of dollars (Spending) of 47 schools in the state.
Following is the multiple regression output with Y = % Passing as the dependent variable, X1 = Salaries and X 2 = Spending:
-Referring to Scenario 14-15,there is sufficient evidence that mean teacher salary has an effect on percentage of students passing the proficiency test while holding constant the effect of instructional spending per pupil at a 5% level of significance.
Yates' Correction
A statistical adjustment made to the chi-squared test for small sample sizes, to better approximate the chi-squared distribution.
Expected Frequencies
The predicted counts of occurrences across different categories or intervals that one would expect by chance.
Fisher's Exact Test
A statistical significance test used to determine if there are nonrandom associations between two categorical variables, often employed when sample sizes are small.
Yates' Correction
A continuity correction method used in Chi-square tests to adjust for the discontinuity of a chi-square distribution when working with discrete variables.
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