A scrap metal dealer claims that the mean of its cash sales is ‘no more than $80’, although an Internal Revenue Service agent believes that the dealer is being dishonest. Observing a sample of 20 cash customers, the agent finds the mean cash sales to be $91, with a standard deviation of $21. Assuming the population is distributed approximately normally, and using the 0.05 level of significance, will the agent’s suspicion be confirmed?
A scrap metal dealer claims that the mean of its cash sales is ‘no more than $80’, although an Internal Revenue Service agent believes that the dealer is being dishonest. Observing a sample of 20 cash customers, the agent finds the mean cash sales to be $91, with a standard deviation of $21. Assuming the population is distributed approximately normally, and using the 0.05 level of significance, will the agent’s suspicion be confirmed?
We have that
"n = 20"
"\\bar x =91"
"s = 21"
"\\alpha=0.05"
"H_0: \\mu \\le80"
"H_a:\\mu>80"
The hypothesis test is right-tailed.
Since the population standard deviation is unknown we use the t-test.
The critical value at the 5% significance level is and 19 df is 1.73
(degrees of freedom df = n – 1 = 20 – 1 = 19)
The critical region is t > 1.73
Test statistic:
Since 2.34 > 1.73 thus t falls into rejection region therefore we reject the null hypothesis.
At the 5% significance level the data do provide sufficient evidence to confirm the agent’s suspicion. We are 95% confident to conclude that the mean cash sales are more than $80.
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