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Hypothesis Testing for Variance and Standard Deviation

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Presentation on theme: "Hypothesis Testing for Variance and Standard Deviation"— Presentation transcript:

1 Hypothesis Testing for Variance and Standard Deviation
The chi-square Test

2 -test for a population variance or standard deviation
The test statistic is s2 and the standardized test statistic is: Assumption: The population is normally distributed

3 Guidelines Degrees of freedom is d.f. = n – 1
The critical values for the distribution are found in Table 6 of Appendix B. Right-tailed test, use the value that corresponds to d.f. and Left-tailed test, use the value that corresponds to d.f. and 1 – Two-tailed test, use the values that correspond to d.f. and ½ and – ½

4 Example #1 Find the critical value for a right-tailed test when n = 18 and = 0.01. Answer:

5 Example #2 Find the critical value for a left-tailed test when = 0.05 and n = 30. Answer:

6 Example #3 Find the critical values for a two-tailed test when n = 19 and
Answer: and 8.231

7 Example # 4 A police chief claims that the standard deviation in the length of response times is less than 3.7 minutes. A random sample of nine response times has a standard deviation of 3.0 minutes. At = 0.05, is there enough evidence to support the police chief’s claim? Assume the population is normally distributed.

8 Answer to #4 Fail to reject the null, there is NOT enough evidence at the 5% level to support the claim that the standard deviation in the length of response times is less than 3.7 minutes.


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