Hypothesis Testing: Two Population Means and Two Population Proportions: Comparing Two Independent Population Means with Known Population Standard Deviations 1.6 2008/06/17 16:27:04 GMT-5 2008/07/31 10:59:46.209 GMT-5 Barbara Illowsky illowskybarbara@deanza.edu Susan Dean deansusan@deanza.edu Connexions cnx@cnx.org elementary statistics This module provides an overview of hypothesis testing in situations where there are both two independent population means and known population standard deviations in statistics. Even though this situation is not likely (knowing the population standard deviations is not likely because usually you have two sets of data), the following example illustrates hypothesis testing for independent means, known population standard deviations. The distribution is Normal and is for the difference of sample means, X 1 - X 2 . The normal distribution has the following format: Normal distribution X 1 ¯ − X 2 ¯ ~ N [ u 1 − u 2 , ( σ 1 ) 2 n 1 + ( σ 2 ) 2 n 2 ] The standard deviation is: ( σ 1 ) 2 n 1 + ( σ 2 ) 2 n 2 The test statistic (z-score) is: z = ( x 1 ¯ − x 2 ¯ ) − ( μ 1 − μ 2 ) ( σ 1 ) 2 n 1 + ( σ 2 ) 2 n 2 independent groups, population standard deviations known: The mean lasting time of 2 competing floor waxes is to be compared. Twenty floors are randomly assigned to test each wax. The following table is the result. Wax Sample Mean Number of Months Floor Wax Last Population Standard Deviation 1 3 0.33 2 2.9 0.36 Does the data indicate that wax 1 is more effective than wax 2? Test at a 5% level of significance. This is a test of two independent groups, two population means, population standard deviations known. Random Variable: X 1 - X 2 = difference in the average number of months the competing floor waxes last. H o : μ 1 ≤ μ 2 H a : μ 1 > μ 2 The words "is more effective" says that wax 1 lasts longer than wax 2, on the average. "Longer" is a ">" symbol and goes into Ha. Therefore, this is a right-tailed test.Distribution for the test: The population standard deviations are known so the distribution is normal. Using the formula above, the distribution is: X 1 ¯ − X 2 ¯ ~ N ( 0 , 0.33 2 20 + 0.36 2 20 ) Since μ 1 ≤ μ 2 then μ 1 − μ 2 ≤ 0 and the mean for the normal distribution is 0.Calculate the p-value using the normal distribution: p-value = 0.1799Graph:

x 1 - x 2 = 3 - 2.9 = 0.1 Compare α and the p-value: α = 0.05 and p-value = 0.1799. Therefore, α < p-value.Make a decision: Since α < p-value, do not reject H o .Conclusion: At the 5% level of significance, from the sample data, there is not sufficient evidence to conclude that wax 1 lasts longer (wax 1 is more effective) than wax 2.TI-83+ and TI-84: Press STAT. Arrow over to TESTS and press 3:2-SampZTest. Arrow over to Stats and press ENTER. Arrow down and enter .33 for sigma1, .36 for sigma2, 3 for the first sample mean, 20 for n1, 2.9 for the second sample mean, and 20 for n2. Arrow down to μ1: and arrow to > μ2. Press ENTER. Arrow down to Calculate and press ENTER. The p-value is p = 0.1799 and the test statistic is 0.9157. Do the procedure again but instead of Calculate do Draw.