A national business
magazine reports that
the mean age of
retirement for women
executives is 61.0.
A women’s
rights organization believes
that this value
does not accurately
depict the current
trend in retirement.
To test
this, the group
polled a simple
random sample of 95
recently retired women
executives and found
that they had a
mean age of
retirement of 61.5.
Assuming the
population standard deviation
is 2.5 years, is
there sufficient evidence
to support the
organization’s belief at
the ?=0.05
significance level?
Below are the null and alternative Hypothesis,
Null Hypothesis: μ = 61
Alternative Hypothesis: μ ≠ 61
Rejection Region
This is two tailed test, for α = 0.05
Critical value of z are -1.96 and 1.96.
Hence reject H0 if z < -1.96 or z > 1.96
Test statistic,
z = (xbar - mu)/(sigma/sqrt(n))
z = (61.5 - 61)/(2.5/sqrt(95))
z = 1.95
P-value Approach
P-value = 0.0512
As P-value >= 0.05, fail to reject null hypothesis.
Rejection Region Approach
As the value of test statistic, z is within critical value range,
fail to reject the null hypothesis
A national business magazine reports that the mean age of retirement for women executives &nbs
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