On using hartley's statistic to test the hypothesis of not much difference among normal variances
J.J. Bau, J.Hubert Chen, Kin Che Lam
Abstract
J.J. Bau, J.Hubert Chen, Kin Che Lam
Abstract
In this paper we investigate the significance level and power of the Hartley's maximum F-ratio test for testing the null hypothesis versus the alternative hypothesis , where and is the maximum (minimum) of the variances of several normal distributions. Under the null hypothesis a least favorable configuration (LFC) for the maximum F-ratio test to be greater than or equal to a critical value is determined. The result is important for the calculation of the critical value of the test statistic to ensure a specified significance level under the hypothesis. Furthermore, this result may be used to construct lower confidence bounds for the ratio . A numerical procedure to implement the testing procedure is provided.
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In this paper we investigate the significance level and power of the Hartley's maximum F-ratio test for testing the null hypothesis versus the alternative hypothesis , where and is the maximum (minimum) of the variances of several normal distributions. Under the null hypothesis a least favorable configuration (LFC) for the maximum F-ratio test to be greater than or equal to a critical value is determined. The result is important for the calculation of the critical value of the test statistic to ensure a specified significance level under the hypothesis. Furthermore, this result may be used to construct lower confidence bounds for the ratio . A numerical procedure to implement the testing procedure is provided.
Key concepts: Mathematics, Statistics, Null hypothesis, p-value, Test statistic, Z-test, One- and two-tailed tests, Statistical hypothesis testing