A reporter bought hamburgers at randomly selected stores of two different restaurant chains, and had the number of Calories in each hamburger measured. Can the reporter conclude, at α = 0.05, that the hamburgers from the two chains have a different number of Calories? Use an independent t-test. df = smaller of n1 - 1 or n2 - 1.
Chain A | Chain B | |
Sample Size | 5 | 9 |
Sample Mean | 230 Cal | 285 Cal |
Sample SD | 23 Cal | 29 Cal |
A) No, because the test value –0.28 is inside the noncritical region. |
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B) Yes, because the test value –0.28 is inside the noncritical region |
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C) Yes, because the test value –3.90 is outside the noncritical region |
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D) No, because the test value –1.26 is inside the noncritical region |
The test hypotheses are
Here are the population means of populations 1 and 2 respectively.
Here, the sample means are . The sample standard deviations are
The level of significance is . The sample sizes are . The degrees of freedom is .
Since the population standard deviations are not known, we use t-distribution.
Thus the test statistic is
The critical value is
Since , the test statistic is outside the noncritical (inside the critical) region, we reject the null hypothesis.
Correct choice is (C).
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