In: Statistics and Probability
A light bulb manufacturer guaran tees that the mean life of a certain type of light bulb is at least 750 hours. A random sample of 250 light bulbs has a mean life of 745 hours. The population standard deviation standard deviation is 60 hours. Test the manufacturer's claim is at .
a) Write the null and alternative hypotheses and tell which is the claim.
b) Write the P-value and how you calculated it. (what you typed into the calculator)
c) Write a sentence interpreting the decision.
Ho : µ = 750
Ha : µ > 750
(Right tail test)
Level of Significance , α =
0.05
population std dev , σ =
60.0000
Sample Size , n = 250
Sample Mean, x̅ = 745.0000
' ' '
Standard Error , SE = σ/√n = 60.0000 / √
250 = 3.7947
Z-test statistic= (x̅ - µ )/SE = (
745.000 - 750 ) /
3.7947 = -1.32
p-Value = 0.9062 [ Excel
formula =NORMSDIST(z) ]
Decision: p-value>α, Do not reject null hypothesis
Conclusion: There is not enough evidence to conclude
that mean life of a certain type of light bulb is at
least 750 hours
.............
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