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Question
a manager of a grocery store wants to determine if consumers are spending more than the national average. the national average is $150.00 with a standard deviation of $30.20. the manager collects 40 random receipts and finds that the average is $160. complete a hypothesis test with a significance level of 2.5% to determine if the average customer spends more in his store than the national average. which of the following is a valid conclusion for the manager based on this test?
- the customers spend more than the national average in his store.
- the manager should decrease prices in his store.
- the customers do not spend more than the national average in his store.
- the customers in his store just come from a rich neighborhood.
Step1: Identify Hypotheses
Null hypothesis \( H_0: \mu \leq 150 \) (national average), Alternative hypothesis \( H_1: \mu > 150 \) (store average > national).
Step2: Calculate Test Statistic
For z - test (since population standard deviation \( \sigma = 30.20 \) is known, sample size \( n = 40 \)):
Test statistic \( z=\frac{\bar{x}-\mu}{\frac{\sigma}{\sqrt{n}}}=\frac{160 - 150}{\frac{30.20}{\sqrt{40}}}\approx\frac{10}{4.78}\approx2.09 \).
Step3: Find Critical Value
Significance level \( \alpha = 0.025 \), one - tailed test. Critical value \( z_{\alpha}=1.96 \) (from standard normal table).
Step4: Compare Test Statistic and Critical Value
Since \( z = 2.09>z_{\alpha}=1.96 \), we reject \( H_0 \). So, there is sufficient evidence that the average customer spends more than the national average in his store.
Now, analyze the options:
- "The customers spend more than the national average in his store." is valid as we rejected \( H_0 \) supporting \( H_1 \).
- "The manager should decrease prices in his store." is not a conclusion from the hypothesis test (test is about spending, not pricing strategy).
- "The customers do not spend more than the national average in his store." is wrong as we rejected \( H_0 \).
- "The customers in his store just come from a rich neighborhood." is not a statistical conclusion from the hypothesis test.
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The customers spend more than the national average in his store.