TABLE 13-15 the Superintendent of a School District Wanted to Predict the Predict

question 93

True/False

TABLE 13-15
The superintendent of a school district wanted to predict the percentage of students passing a sixth-grade proficiency test. She obtained the data on percentage of students passing the proficiency test (% Passing), daily mean of the percentage of students attending class (% Attendance), mean teacher salary in dollars (Salaries), and instructional spending per pupil in dollars (Spending) of 47 schools in the state.
Following is the multiple regression output with Y = % Passing as the dependent variable, = : % Attendance, = Salaries and = Spending:

-Referring to Table 13-15, the null hypothesis should be rejected at a 5% level of significance when testing whether there is a significant relationship between percentage of students passing the proficiency test and the entire set of explanatory variables.

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Definitions:

P-value

A measure in statistics that helps in determining the significance of results obtained in an experiment or survey. It indicates the probability of observing results as extreme as those observed if the null hypothesis is true.

Average Sales

The mean amount of sales over a certain period, calculated by summing all sales figures and dividing by the number of sales transactions.

Critical Value

A point on the scale of the test statistic beyond which we reject the null hypothesis; it marks the threshold for significance in hypothesis testing.

P-value

The odds of receiving outcomes in a test that are equally or more extreme than those observed, given the null hypothesis is assumed to be accurate.