In: Statistics and Probability
Testing a claim about a mean with unknown σ
The mean age of cars driven by commuting college students is 7 years. The Dean claims that this is an accurate statement for his students. A random sample of 31 cars in the East Student parking Lot on campus showed a mean age of 8.1 years with a standard deviation of 5.1 years. Test the Dean’s claim at the α= .05 level of significance.
1.Are the necessary conditions met?
2. Simple random sample?
3. Sample size > 30? (If yes, we don’t have to worry about the distribution)
Since σ is unknown, we will use the t distribution.
4. Write the claim in words:
5. Translate the claim into symbols:
6. Create the null and alternative hypotheses:
7. Identify the type of test (left-tailed, right-tailed, two-tailed):
8. Compute the test statistic t=x-μxsn s= n=
9. Substitute and simplify t=
10. Critical Value Method: Compare the test statistic with the critical value to make a decision about rejecting .
11. Find the critical t values. The df = , identifying the row in the t table.
-Two-tailed test, so go to the “area in two tails 0.05” column.
12. Read t = ± , since it is a two-tailed test in a symmetric distribution.
13. Draw a student t distribution. Shade the critical regions and locate the test statistic on the horizontal axis. Is the test statistic in the critical region?
14. Form a conclusion:
15. P-value method: Compare the P-value with the level of significance to make a decision about rejecting . You would need to examine the values in the df row to find a range of values for the P-value – not practical without technology.
16. If P-value ≤ α, we reject the null hypothesis. If P-value > α, we fail to reject the null hypothesis.
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