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surafel kidanu
on Dec 01, 2024

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A new manager,hired at a large warehouse,was told to reduce the 26% employee sick leave.The manager introduced a new incentive program for employees with perfect attendance.The manager decides to test the new program to see if it's better and receives a P-value of 0.06.What is reasonable to conclude about the new strategy?

A) There is a 94% chance of the new program having no effect on employee attendance.
B) If the sick leave percentage has not changed,then there is a 6% chance of seeing the decrease in the sick leave percentage we observed (or lower) from natural sampling variation.We can conclude the new program is more effective.
C) There is a 6% chance of the new program having no effect on employee attendance.
D) We can say there is a 6% chance of seeing the new program having no effect on employee attendance in the results we observed from natural sampling variation.We conclude the new program is more effective.
E) If the sick leave percentage has not changed,then there is a 6% chance of seeing the decrease in the sick leave percentage we observed (or lower) from natural sampling variation.There is moderate evidence the new program is more effective,but we cannot conclude the program has no effect on employee attendance.

Sick Leave Percentage

The ratio or percentage of an employee's work time missed due to illness.

P-value

The probability of observing a test statistic as extreme as, or more extreme than, the value observed under the assumption that the null hypothesis is true.

Sampling Variation

The variability in sample statistics from sample to sample due to randomness.

  • Learn the essence of P-value in the process of hypothesis examination and its interpretation.
  • Critically evaluate the effectiveness of new programs or strategies based on statistical evidence.
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Tamar MihranianDec 05, 2024
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