And there is not much difference in these parameters. The mean of Variable 1 and Variable 2 are 26.75 and 26.85714286, respectively, which is the mid-point of Quantity Delivered.An F-Test in excel for Delivery Data of shown Part Numbers will look like this:.Then select Output Range Cell and click OK.Alpha is kept at 0.05, which is 5% of tolerance (You can change the value of Alpha as per data size and requirement).As you can see in the below screenshot, for Variable 1 Range data selected is from B2:B9, and for Variable 2 Range data selected is from B10:B16.Here, the analysis will be based on segmenting the dates into two sections. The data set has only one column which has statistical or numeric figures. For better understanding, we have sorted the data in ascending order with column name Date of Delivery, as shown below.įollow the same process for this data for performing F-Test in Excel. Suppose we have Delivery data of some Part Numbers. P (Fdf is the Degree of Freedom, which is shown only 5 variable can be assigned to this statistical distribution.Observations of Variable 1 and Variable 2 is 6, which means only 6 data points or parameters are considered in doing F-Test.A variance of Variable 1 and Variable 2 are 18.66666667 and 9.2, respectively, which show the variation in the data set.The mean of Variable 1 and Variable 2 are 15.66666667 and 16, respectively, which is the mid-point of Demand and Forecast.An F-Test in excel will look like below.Here we have selected the output range as E2, And then click on OK. After that, select Output Range cell anywhere in the same sheet or else, you can select a New Workbook as well, which is given just below of it, for your ease.Here, we have taken 0.05 as Alpha, which means we are considering 5% tolerance in calculation and analysis. After selecting the Variables 1 Range and Variable 2 Range, choose the desired value of Alpha in the same box.Here you need to select the variable range of Demand and Forecast from the data, which is shown below.After that, another dialog box of F-Test will appear.Now select F-Test Two-Sample Variances and click on Ok. Once you click on it, a Data Analysis option box will come.Go to Data in the Menu bar and select Data Analysis.Now, if we want to test the variation and difference in the variability of data. Suppose we have 6-months data of Demand and Forecast of any product.
Conducting statistical analysis in excel download#
You can also create a scatter plot of these residuals.You can download this F-Test Excel Template here – F-Test Excel Template Excel F-Test – Example #1 For example, the first data point equals 8500. The residuals show you how far away the actual data points are fom the predicted data points (using the equation). For example, if price equals $4 and Advertising equals $3000, you might be able to achieve a Quantity Sold of 8536.214 -835.722 * 4 + 0.592 * 3000 = 6970. You can also use these coefficients to do a forecast. For each unit increase in Advertising, Quantity Sold increases with 0.592 units.
In other words, for each unit increase in price, Quantity Sold decreases with 835.722 units. The regression line is: y = Quantity Sold = 8536.214 -835.722 * Price + 0.592 * Advertising. Most or all P-values should be below below 0.05. Delete a variable with a high P-value (greater than 0.05) and rerun the regression until Significance F drops below 0.05. If Significance F is greater than 0.05, it's probably better to stop using this set of independent variables. If this value is less than 0.05, you're OK. To check if your results are reliable (statistically significant), look at Significance F ( 0.001).
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