A store takes a random sample of 16 sales. The average sale for the sample is $2310 with a standard deviation of $148. Assume that sales are distributed normally.
A. Test the hypothesis that the sample mean is different from $2100?
B. Would the conclusion in a change if alpha= .1?
C. Construct a 95% confidence interval for the population mean?
a) The test statistic here is computed as:
Now as this is a two tailed test, the p-value for n-1 = 15 degrees of freedom is computed from t distribution tables as:
p = 2P( t15 > 5.68) = approx. 0
As the p-value here is very very low, the test is significant and we can reject the null hypothesis here and conclude that the mean is significantly different from $2100.
b) As the p-value is lower than 0.1 too, the result would remain the same here too and the test is significant at this level of significance as well.
c) From t distribution tables, we get for 15 degrees of freedom that:
P( -2.131 < t15 < 2.131 ) = 0.95
Therefore the confidence interval here is obtained as:
This is the required confidence interval here.
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