A sample of 64 account balances from a credit company showed an
average daily balance of $1,040. The standard deviation of the
population is known to be $200. We are
interested in determining if the mean of all account balances
(i.e., population mean) is significantly different from
$1,000.
a. | Develop the appropriate hypotheses for this problem. |
b. | Compute the test statistic. |
c. | Compute the p-value. |
d. | Using the p-value approach at 95% confidence, test the above hypotheses. |
e. | Using the critical value approach at 95% confidence, test the hypotheses. |
(A) we want to test whether the population mean is significantly different from 1000 or not
(B) Given that sample size n = 64, sample mean x bar = 1040, population standard deviation = 200 and population mean = 1000
z test statistic
(C) using z table, check 1.6 in the left most column and check 0.00 in the top row, then select the intersecting cell, we get
p value = 0.1096
(D) p value is greater than 0.05 significance level, so we failed to reject the null hypothesis
(E) z critical range for two sided test at 0.05 significance level or 95% confidence is -1.96 to 1.96. Calculated z statistic is between the critical range of z value, so we again failed to reject the null hypothesis
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