A company would like to know if efficiency can be improved through a training course for employees. A sample of employees is taken. The time taken for an employee to complete a task before training and after training is observed. Mean Variance Observations Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Confidence Level Before n = 33.1 16.81 30 0 29 -2.282 0.051 -1.699 0.025 -2.045 95% After 31.7 12.25 30 p= Ex: 1.234 -3 -2 -1 t = Ex: 1.234 Ex: 9 Degrees of freedom: df = Point estimate for before training: before Ex: 1.234 Point estimate for after training: after 0 1 2

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A company would like to know if efficiency can be improved through a training course for employees. A sample of
employees is taken. The time taken for an employee to complete a task before training and after training is observed.
Mean
Variance
Observations
Hypothesized Mean Difference
df
t Stat
P(T<=t) one-tail
t Critical one-tail
P(T<=t) two-tail
t Critical two-tail
Confidence Level
Before
n =
33.1
16.81
30
0
29
-2.282
0.051
-1.699
0.025
-2.045
95%
After
31.7
12.25
30
p= Ex: 1.234:
-3 -2
t = Ex: 1.234
Ex: 9
Degrees of freedom: df =
Point estimate for before training: before Ex: 1.234
Point estimate for after training: after
-1
0
1
2
3
Transcribed Image Text:A company would like to know if efficiency can be improved through a training course for employees. A sample of employees is taken. The time taken for an employee to complete a task before training and after training is observed. Mean Variance Observations Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Confidence Level Before n = 33.1 16.81 30 0 29 -2.282 0.051 -1.699 0.025 -2.045 95% After 31.7 12.25 30 p= Ex: 1.234: -3 -2 t = Ex: 1.234 Ex: 9 Degrees of freedom: df = Point estimate for before training: before Ex: 1.234 Point estimate for after training: after -1 0 1 2 3
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