Employees of a certain company took a mean of 6.8 vacation days
in 2016. The CEO of the company believes that in 2017 the average
number of sick days was less than 6.8. A sample of 52 employees
took a mean of 6.6 days in 2017, σ is known to be equal to 1.7. At
α = 0.02, test the CEO’s claim.
a 1-6) Give the hypotheses for H0 (a1, a2 and
a3) and H1 (a4, a5 and a6)
H0
a1) µ or p
µpClick for List
a2) =, ≥, or ≤
=≥≤Click for List
a3)
H1
a4) µ or p
µpClick for List
a5) ≠, >, or <
≠><Click for List
a6)
b) Calculate the test statistic. z = _______ (Round your answer to 3 decimals.)
c 1-3) Formulate the decision rule for the critical value
approach.
Reject H0 if
c1) z or p
zpClick for List
c2) < or >
<>Click for List
c3)
d 1) Make a decision.
d1) Reject Ho or Do not reject Ho
Reject HoDo not reject HoClick for List
e1-2) Give your conclusion. At α = .___, there (is/is not) enough evidence to conclude that in 2017 the average number of sick days was less than 6.8.
e1)
e2) is or is not
isis notClick for List
1)
Below are the null and alternative Hypothesis,
Null Hypothesis, H0: μ = 6.8 or mu >= 6.8
Alternative Hypothesis, Ha: μ < 6.8
b)
Test statistic,
z = (xbar - mu)/(sigma/sqrt(n))
z = (6.6 - 6.8)/(1.7/sqrt(52))
z = -0.848
c)
Rejection Region
This is left tailed test, for α = 0.02
Critical value of z is -2.054.
Hence reject H0 if z < -2.054
d)
Do not reject Ho
e)
At α = .0.02, there (is not) enough evidence to conclude that in 2017 the average number of sick days was less than 6.8.
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