A leading manufacturing company claims that, its employees have 14 years’ average experience. A study on the experience of 10 randomly selected employees given in Dataset E. At α=0.10, is the number of years’ experience of the employees is really different than the company’s claim? (Use traditional testing of hypothesis).
Years.of.Experience |
|
1 |
14 |
2 |
13 |
3 |
18 |
4 |
11 |
5 |
19 |
6 |
13 |
7 |
15 |
8 |
13 |
9 |
15 |
10 |
12 |
null hypothesis: HO: μ | = | 14 | ||
Alternate Hypothesis: Ha: μ | ≠ | 14 | ||
0.1 level with two tail test and n-1= 9 df, critical t= | 1.833 | |||
Decision rule :reject Ho if absolute value of test statistic|t|>1.833 | ||||
population mean μ= | 14 | |||
sample mean 'x̄= | 14.300 | |||
sample size n= | 10.00 | |||
std deviation s= | 2.541 | |||
std error ='sx=s/√n= | 0.8035 | |||
test stat t ='(x-μ)*√n/sx=(14.3-14)/0.8035 = | 0.373 |
since test statistic does not falls in rejection region we fail to reject null hypothesis |
we do not have have sufficient evidence to conclude that the number of years’ experience of the employees is really different than the company’s claim |
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