In: Statistics and Probability
A company manufacturing light bulbs is testing a new model. The company claims that the mean life time is less than 1000 hours.
A sample of 16 light bulbs are found to have sample mean of 987.5 hours and a sample variance of 400.
(a) Test this claim at the significance level α = 0.02.
Step 1:
Step 2:
Step 3:
Step 4:
Step 5:
(b) Is there any assumption needed to solve this question? if yes please state the assumption
Step 1:
Ho: ≥ 1000
Ha: < 1000 (Claim)
Step 2: Test statistics
n = 16
sample mean = 987.5
sample varaince = 400
sample sd = 20
Assuming that the data is normally distribited, also as the population sd is not given, we will use t stat
p value = 0.0123
Step 3: Rejection region
= 0.02
t critical for left tailed test = - 2.24854029
If t stat is less than -2.249, the null hypothesis is rejected.
Step 4: Decision :
As the t stat ( -2.50) is less than t critical (-2.249), the Null hypothesis is rejected.
Also as the p value (0.0123) is less than ( 0.02), the Null hypothesis is rejected.
Step 5: Conclusion:
Hence there is sufficient evidence to believe that the mean life time is less than 1000 hours at significance level = 0.02
(b) Is there any assumption needed to solve this question? if yes please state the assumption
Assuming that the data is normally distributed.