![]() ![]() Firstly, insert 1 in any Cell of your Excel worksheet.Now, we will show you how to remove the input range that contains non-numeric data errors in Descriptive Statistics by applying the Paste Special Feature.įollow the steps given below to do it on your own Finally, you will get your desired Descriptive Statistics analysis of the given data using Number Format.Afterward, select any Statistical option.After that, turn on Labels in first row option.Then, select Cell range C4:C12 in the Input Range box.Now, the Descriptive Statistics box will open.Then, the Data Analysis box will appear.Next, go to the Data tab > click on Data Analysis.Now, you will see that Cell range C5:C12 is in Number Format. ![]() After that, go to the Home tab > click on Number Format.In the beginning, select Cell range C5:C12.Go through the steps given below to do it on your own. Now, we will show you how to change the Text Format to Number Format of the Cell range to input non-numeric data range in Descriptive Statistics. Step-02: Using Number Format to Input Non-Numeric Data Range After that, turn on the Analysis ToolPak option.After that, go to the Add-ins tab > click on Analysis ToolPak.Follow the steps given below to add Data analysis Command in your Excel workbook. To add Data Analysis Command in Excel workbook, we have to load Analysis ToolPak. We can do complex statistical and engineering analysis of data by using Data Analysis Command in Excel. Step-01: Adding Data Analysis Command in Excel Workbook Go through the steps to do it on your own. Now, we will show you how to add the Data Analysis Command and input a non-numeric data range in Descriptive Statistics. Sometimes, you may find that the Data Analysis Command is not added in your Excel Workbook. In the first method, we will show you how to input a range that contains non-numeric data in Descriptive Statistics using Number Format. Now, we will show you how to input a range that contains non-numeric data in Descriptive Statistics in Excel using this dataset. However, you can see that the values in Cell range C5:C12 are in Text Format.Īs a result, when we input this cell range in descriptive Statistics it shows an error as shown below. Here, we have a dataset containing the Name and Age of some people. Therefore, when non-numeric data is used for Descriptive Statistics, it shows an error that instructs us to input a range that contains non-numeric data.ĭescriptive Statistics – Input Range Contains Non-Numeric Data: 6 Possible Solutions ![]() Why Does “Input Range Contains Non-Numeric Data” Error Appear in Descriptive Statistics?ĭescriptive Statistics can work only on numeric values. It can provide basic information and the internal relationship between the variables in a dataset. You can also create a scatter plot of these residuals.Conclusion What Is Descriptive Statistics?ĭescriptive Statistics is used to summarize a given data found from any study. 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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