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Aim: How do we test the difference between two means? HW#14: complete slide
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Independent Samples Samples are independent samples when they are not related A t test is used to test the difference between means when the two samples are independent and when the samples are taken from two normally or approximately normally distributed populations
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Use the t test when… Option 1 –Used when the variances of the populations are not equal Option 2 –Use when the variances are equal
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Formula for the t test – for testing the difference between two means of a small independent sample Variances are assumed to be unequal
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Formula for the t test – for testing the difference between two means of a small independent sample Variances are assumed to be equal: Where the degree of freedom are equal to
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The average size of a farm in Indiana County, Pennsylvania, is 191 acres. Assume the data were obtained from two samples with standard deviations of 38 and 12 acres, respectively, and sample sizes of 8 and 10, respectively. Can it be concluded at α = 0.05 that the average size of the farms in the two countries is different? Assume the populations are normally distributed. Example
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Procedure 1.Need to determine if the variances are equal if they did not give you any information about variances in the problem 1.State the hypothesis 2.Find the critical value (use f table) 3.Compute test value with f test 4.Make a decision 5.Summarize results 2.Decide which t test to use based on steps 1-5 1.State the hypothesis 2.Find the critical values 3.Compute test value with t test 4.Make a decision 5.Summarize results
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Home Work 1. A researcher wishes to determine whether the salaries of professional nurses employed by private hospitals are higher than those of nurses employed by government-owned hospitals. She selects a sample of nurses from each type of hospital and conclude that the private hospitals pay more than the government hospitals? Assume that the population are approximately normally distributed. Use the P-value methods PrivateGovernment
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