2) A company wants to determine whether a new training program improves employee productivity. Before the training, the average productivity score was 120. After the training, a random sample of 30 employees had an average score of 130 with a standard deviation of 15. Can the company conclude that the training program is effective at a significance level of 0.05?

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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2) A company wants to determine whether a new training program improves employee productivity. Before the
training, the average productivity score was 120. After the training, a random sample of 30 employees had an
average score of 130 with a standard deviation of 15. Can the company conclude that the training program is
effective at a significance level of 0.05?
Transcribed Image Text:2) A company wants to determine whether a new training program improves employee productivity. Before the training, the average productivity score was 120. After the training, a random sample of 30 employees had an average score of 130 with a standard deviation of 15. Can the company conclude that the training program is effective at a significance level of 0.05?
Expert Solution
Step 1: Formula Used

Here we can use t- distribution to check the validity of the statement. In this method first we set up null and alternate hypothesis and then calculate test statistics using the following formula 

t equals fraction numerator x with bar on top minus mu over denominator fraction numerator s over denominator square root of n end fraction end fraction
h e r e space
x with bar on top equals s a m p l e space m e a n
mu equals p o p u l a t i o n space m e a n
s equals s a m p l e space s d
n equals s a m p l e space s i z e

Now if the value of test statistics is greater than the critical value then we reject the null hypothesis or otherwise do not reject it.

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