Since the p-value is larger than our Alpha (0.05), we cannot reject the null hypothesis that there is no significant difference in the means of each sample. In this example P(T if testing that a value is above or below some level. Note: Use a one-tail test if you have a direction in your hypothesis, i.e. We will compare this value to the t-Critical one-tail statistic. Cell H9 contains the result of the actual t-test.Cells H8 contains the degrees of freedom.Cell H7 contains our entry for the Hypothesized Mean Difference.Cells H6 and I6 contain the number of observations in each sample.Cells H5 and I5 contain the variance of each sample.Cells H4 and I4 contain the mean of each sample, Variable 1 = NYSE and Variable 2 = NASDAQ.Uncheck Labels since we did not include the column headings in our Variable 1 and 2 Ranges.This means that we are testing that the means between the two samples are equal. Enter "0" for Hypothesized Mean Difference.This is our second set of values, the dividend yields for the NASDAQ stocks. This is our first set of values, the dividend yields for the NYSE stocks. On the XLMiner Analysis ToolPak pane, click t-Test: Two-Sample Assuming Unequal Variances.Pearson Higher Education (Educators) XLSTAT Learning Center. Use the t-test tool to determine whether there is any indication of a difference between the means of the two different populations. Technology Instructional Videos for the Triola Statistics Series. The example below gives the Dividend Yields for the top ten NYSE and NASDAW stocks. This test can be either two-tailed or one-tailed contingent upon if we are testing that the two population means are different or if one is greater than the other. This tool executes a two-sample student's t-Test on data sets from two independent populations with unequal variances.
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