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Step 3: Two-Sample Assuming Equal Variances The null hypothesis is the variance is equal, at confidence level 95%, F value is 1.9837, now the calculated F value is only 1.37, therefore we do not have enough evidence to reject H0, meaning the variance is equal. Note that for Variable 1 Range, you have to fill in the larger variance one, that’s why we have to calculate the sample variable previously. Navigate to Data > Data Analysis > F-Test Two-Sample for Variancesįill in the Variable 1 and 2 Range. Step 2: Test variance is equal or unequal Prepare a data source as below, and then calculate the sample variance using VAR.S Function. H1: mean of finance graduate salary - mean of CS graduate salary > 0īecause our H1 is directional, the test is 1-tailed.īefore doing T test in Excel, make sure you have enabled Data Analysis Add-In. We make the below hypothesis Ho: mean of finance graduate salary - mean of CS graduate salary = 0 Suppose we try to find if Finance graduates have a higher salary than computer science graduates. In SPSS, when you generate the test result for Independent-Samples T Test, F value will be generated under the section Levene’s Test. In Excel, you can use F-Test Two-Sample for Variances to test the probability of equal variance before you select the appropriate T Test. Independent sample T Test can have to types: equal population variance and unequal population variance. Test whether the population mean between paired observations are equal For two samples, you can also use One Way ANOVA, but ANOVA is not directional. Test whether the population mean from two individual samples are equal. Test whether a target mean value is equal to the population mean There are basically three kinds of T Test in statistics: One sample T Test
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Without th e population standard deviation, we use T Test (also known as Student’s t Test) to interference the population mean from sample mean. In reality, we do not have data of the whole population. To inference using sample mean, w hen the population standard deviation and population mean are known, we can use Z test to interference the population mean from sample mean. In statistical inference, we are interested to know whether a small sample comes from a population.
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Spss ibm t test how to#
This SPSS Excel tutorial explains how to perform one tailed and two tailed Independent T Test in Excel and SPSS.