In: Statistics and Probability
A manufacturer claims that the mean lifetime of its lithium batteries is 1500 hours. A home owner selects 30 of these batteries and finds the mean lifetime to be 1470 hours with a standard deviation of 80 hours. Test the manufacturer's claim. Use a=0.05 . Round the test statistic to the nearest thousandth.
a) Hypothesis :
b) Critical value (tcritical) :
c) Test statistic (tstat) and the decision about the test statistic: (reject or fail to reject Ho) :
d) Conclusion that results from the decision about Ho, how would you politely address the manufacturer’s claim?
Solution:
One sample t-test
Here, we have to use one sample t test for the population mean.
The null and alternative hypotheses are given as below:
Null hypothesis: H0: the mean lifetime of its lithium batteries is 1500 hours.
Alternative hypothesis: Ha: the mean lifetime of its lithium batteries is different than1500 hours.
H0: µ = 1500 versus Ha: µ ≠ 1500
This is a two tailed test.
The test statistic formula is given as below:
t = (Xbar - µ)/[S/sqrt(n)]
From given data, we have
µ = 1500
Xbar = 1470
S = 80
n = 30
df = n – 1 = 29
α = 0.05
Critical value = - 2.0449 and 2.0449
(by using t-table or excel)
t = (1470 – 1500)/[80/sqrt(30)]
t = -2.053
Test statistic = -2.053
P-value = 0.0491
(by using t-table)
P-value < α = 0.05
So, we reject the null hypothesis
There is insufficient evidence to conclude that the mean lifetime of its lithium batteries is 1500 hours.
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