![]() ![]() ➤ As Input we have to provide two variable ranges $C$4:$C$11 for Variable 1 Range and $D$4:$D$11 for Variable 2 Range, as Output Range we have selected $E$4. ➤ Select the option t-Test: Paired Two Sample for Means from different options of Analysis Tools.Īfter that, the t-Test: Paired Two Sample for Means dialog box will open up. Then, the Data Analysis wizard will appear. ➤ Now, go to the Data Tab > Analysis Group > Data Analysis Option. ➤ Check the Analysis ToolPak option and press OK. ➤ Choose the Excel Add-ins option in the Manage box and then press Go.Īfterward, the Add-ins dialog box will pop up. ➤ Select the Add-ins option on the left panel. If you didn’t activate the data analysis tool then first enable this toolpak at first.Īfter that, the Excel Options dialog box will appear. Here, we will use the analysis toolpak containing the t-Test analysis tool to determine the P-value for these two sets of sales data. Method-1: Using ‘t-Test Analysis Tool’ to Calculate P Value We have used Microsoft Office 365 version here, you can use any other versions according to your convenience. The null hypothesis reckons there is no difference between the two types of sales values and the alternative hypothesis will consider differences between these two sets of values. We will compare these sales values and determine the probability value and then we will determine if P supports the null hypothesis or the alternative hypothesis. ![]() Here, we have some predicted sales values and actual sales values of some of the products of a company. Related Articles How to Calculate P Value in Linear Regression in Excel: 3 Ways ![]()
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