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SCENARIO 13-9 It Is Believed That, the Average Numbers of Hours Spent

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SCENARIO 13-9
It is believed that, the average numbers of hours spent studying per day (HOURS) during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month) after graduation. Given below is the Excel output for predicting starting salary (Y) using number of hours spent studying per day (X) for a sample of 51 students. NOTE: Only partial output is shown.
SCENARIO 13-9 It is believed that, the average numbers of hours spent studying per day (HOURS)  during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month)  after graduation. Given below is the Excel output for predicting starting salary (Y)  using number of hours spent studying per day (X)  for a sample of 51 students. NOTE: Only partial output is shown.     Note: 2.051 E - 05 = 2.051*1<sup>0-5</sup>  and 5.944 E -18 = 5.944 *10 <sup>-18</sup> . -Referring to Scenario 13-9,the estimated change in mean salary (in thousands of dollars) as a result of spending an extra hour per day studying is A) -1.8940 B) 0.7845 C) 0.9795 D) 335.0473
SCENARIO 13-9 It is believed that, the average numbers of hours spent studying per day (HOURS)  during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month)  after graduation. Given below is the Excel output for predicting starting salary (Y)  using number of hours spent studying per day (X)  for a sample of 51 students. NOTE: Only partial output is shown.     Note: 2.051 E - 05 = 2.051*1<sup>0-5</sup>  and 5.944 E -18 = 5.944 *10 <sup>-18</sup> . -Referring to Scenario 13-9,the estimated change in mean salary (in thousands of dollars) as a result of spending an extra hour per day studying is A) -1.8940 B) 0.7845 C) 0.9795 D) 335.0473
Note: 2.051 E - 05 = 2.051*10-5 and 5.944 E -18 = 5.944 *10 -18 .
-Referring to Scenario 13-9,the estimated change in mean salary (in thousands of dollars) as a result of spending an extra hour per day studying is


Definitions:

Type II Error

The mistake of failing to reject a false null hypothesis in a statistical test, also known as a false negative.

Control Chart

A tool used in quality control processes to monitor, control, and improve the process quality by plotting data points in time order and identifying any signals of unusual variation.

Type Error

Often refers to a Type I or Type II error in statistical hypothesis testing, misidentification of a true condition.

Null Hypothesis

In statistical hypothesis testing, it is the hypothesis that there is no effect or no difference, and any observed deviation is due to chance.

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