1. Hypothesis Testing with One Sample Chapter 7

2. § 7.3 Hypothesis Testing for the Mean (Small Samples)

3. Larson & Farber, Elementary Statistics: Picturing the World, 3e 3 Critical Values in a t - Distribution Finding Critical Values in a t-Distribution 1.Identify the level of significance . 2.Identify the degrees of freedom d.f. = n – 1. 3.Find the critical value(s) using Table 5 in Appendix B in the row with n – 1 degrees of freedom. If the hypothesis test is a.left - tailed, use “One Tail,  ” column with a negative sign, b.right - tailed, use “One Tail,  ” column with a positive sign, c.two - tailed, use “Two Tails,  ” column with a negative and a positive sign.

4. Larson & Farber, Elementary Statistics: Picturing the World, 3e 4 Finding Critical Values for t Example : Find the critical value t 0 for a right - tailed test given  = 0.01 and n = 24. The degrees of freedom are d.f. = n – 1 = 24 – 1 = 23. To find the critical value, use Table 5 with d.f. = 23 and 0.01 in the “One Tail,  “ column. Because the test is a right - tail test, the critical value is positive. t 0 = 2.500

5. Larson & Farber, Elementary Statistics: Picturing the World, 3e 5 Finding Critical Values for t Example : Find the critical values t 0 and  t 0 for a two - tailed test given  = 0.10 and n = 12. The degrees of freedom are d.f. = n – 1 = 12 – 1 = 11. To find the critical value, use Table 5 with d.f. = 11 and 0.10 in the “Two Tail,  “ column. Because the test is a two - tail test, one critical value is negative and one is positive.  t 0 =  1.796 and t 0 = 1.796

6. Larson & Farber, Elementary Statistics: Picturing the World, 3e 6 t-Test for a Mean μ (n < 30,  Unknown) The t-test for the mean is a statistical test for a population mean. The t - test can be used when the population is normal or nearly normal,  is unknown, and n < 30. The test statistic is the sample mean and the standardized test statistic is t. The degrees of freedom are d.f. = n – 1.

7. Larson & Farber, Elementary Statistics: Picturing the World, 3e 7 t-Test for a Mean μ (n < 30,  Unknown) 1.State the claim mathematically and verbally. Identify the null and alternative hypotheses. 2.Specify the level of significance. 3.Identify the degrees of freedom and sketch the sampling distribution. 4.Determine any critical values. 5.Determine any rejection region(s). Continued. Using the t - Test for a Mean μ (Small Sample) In Words In Symbols State H 0 and H a. Identify . Use Table 5 in Appendix B. d.f. = n – 1.

8. Larson & Farber, Elementary Statistics: Picturing the World, 3e 8 t-Test for a Mean μ (n < 30,  Unknown) 6.Find the standardized test statistic. 7.Make a decision to reject or fail to reject the null hypothesis. 8.Interpret the decision in the context of the original claim. Using the t-Test for a Mean μ (Small Sample) In Words In Symbols If t is in the rejection region, reject H 0. Otherwise, fail to reject H 0.

9. Larson & Farber, Elementary Statistics: Picturing the World, 3e 9 Testing μ Using Critical Values Example : A local telephone company claims that the average length of a phone call is 8 minutes. In a random sample of 18 phone calls, the sample mean was 7.8 minutes and the standard deviation was 0.5 minutes. Is there enough evidence to support this claim at  = 0.05? H a :   8H 0 :  = 8 (Claim) The level of significance is  = 0.05. Continued. The test is a two - tailed test. Degrees of freedom are d.f. = 18 – 1 = 17. The critical values are  t 0 =  2.110 and t 0 = 2.110

10. Larson & Farber, Elementary Statistics: Picturing the World, 3e 10 Testing μ Using Critical Values Example continued : A local telephone company claims that the average length of a phone call is 8 minutes. In a random sample of 18 phone calls, the sample mean was 7.8 minutes and the standard deviation was 0.5 minutes. Is there enough evidence to support this claim at  = 0.05? H a :   8 H 0 :  = 8 (Claim) The standardized test statistic is  z 0 =  2.110 z 0 z 0 = 2.110 The test statistic falls in the nonrejection region, so H 0 is not rejected. At the 5% level of significance, there is not enough evidence to reject the claim that the average length of a phone call is 8 minutes.

11. Larson & Farber, Elementary Statistics: Picturing the World, 3e 11 Testing μ Using P - values Example : A manufacturer claims that its rechargeable batteries have an average life greater than 1,000 charges. A random sample of 10 batteries has a mean life of 1002 charges and a standard deviation of 14. Is there enough evidence to support this claim at  = 0.01? H a :  > 1000 (Claim)H 0 :   1000 The level of significance is  = 0.01. The standardized test statistic is Continued. The degrees of freedom are d.f. = n – 1 = 10 – 1 = 9.

12. Larson & Farber, Elementary Statistics: Picturing the World, 3e 12 Testing μ Using P - values Example continued : A manufacturer claims that its rechargeable batteries have an average life greater than 1,000 charges. A random sample of 10 batteries has a mean life of 1002 charges and a standard deviation of 14. Is there enough evidence to support this claim at  = 0.01? z 0 0.45 Using the d.f. = 9 row from Table 5, you can determine that P is greater than  = 0.25 and is therefore also greater than the 0.01 significance level. H 0 would fail to be rejected. At the 1% level of significance, there is not enough evidence to support the claim that the rechargeable battery has an average life of at least 1000 charges. H a :  > 1000 (Claim) H 0 :   1000