Use a? t-test to test the claim about the population mean mu at the given level of significance alpha using the given sample statistics. Assume the population is normally distributed. ?Claim: muequals51 comma 700?; alphaequals0.01????Sample? statistics: x overbarequals51 comma 436?, sequals1800?, nequals20
Here we assume the population is normally distributed.
So we can use t test statistic formula for small n also
Formula of t test statistic is given by:
Where = sample mean = 51436
= population mean under null hypothesis = 51700
s = sample standard deviation = 1800
n = sample size = 20
Plug these values in the above formula, we get
Degrees of freedom = n - 1 = 20 - 1 = 20
p-value = "=TDIST(0.6559,19,2)" = 0.5197 (This is the p-value for two tail test
Decision rule:
1) If p-value < level of significance ( ) then we reject null hypothesis.
2) If p-value > level of significance ( ) then we fail toreject null hypothesis.
Here p - value = 0.5197 > 0.01 so we fail to reject the null hypothesis.
Conclusion : At 1% level of significance there is not sufficient evidence to reject the mean is 51700.
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