- Life Hacks for Your Smartphone
- how do I get the chi-square symbol in Word - Microsoft Office Word Forum - WordBanter
- Goal of this tutorial on running Chi-square and Fisher’s exact tests on contingency tables
- Secrets and tips for the Windows 10 May 12222 update
- Statistics Open For All

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I can't find the chi square symbol in any of Word's characters. Does it exist, can anyone tell me? Jay Freedman. Gary wrote: I can't find the chi square symbol in any of Word's characters.

The lower case Greek letter chi is available in many common fonts. In the Insert Symbol dialog, set the font to "normal text", the "From" dropdown in the lower right to Unicode, and the "Subset" dropdown in the upper right to Basic Greek; then locate the chi between phi and psi. The "square" part is a superscript 2. You can make it easily and then store it as a little Word file.

It works like this: 1. Open a new Word doc 2.

### Life Hacks for Your Smartphone

Click on Insert top line and then on Symbol 3. Find the font called Symbol by looking in the drop-down box, and search for Chi. Insert Chi. Then type 2 after it and highlight just the 2. Go to Format top line and Font and click on Superscript. You now have Chi-square and you can save that for use by Copy-Paste whenever you need it. Show Printable Version. Email this Page. Linear Mode. Switch to Hybrid Mode. Switch to Threaded Mode.

## how do I get the chi-square symbol in Word - Microsoft Office Word Forum - WordBanter

Smilies are On. The time now is AM. The comments are property of their posters. Author Name. It is typically used to visually show the strength of the relationship and the dispersion of results — all for the purpose of explaining the behavior of the dependent variable.

Say we wanted to test the strength of the relationship between the amount of ice cream eaten and obesity. We would take the independent variable, the amount of ice cream, and relate it to the dependent variable, obesity, to see if there was a relationship. Given a regression is a graphical display of this relationship, the lower the variability in the data, the stronger the relationship and the tighter the fit to the regression line. There are a few critical assumptions about your data set that must be true to proceed with a regression analysis :. If those three things sound complicated, they are.

But the effect of one of those considerations not being true is a biased estimate. Essentially, you would misstate the relationship you are measuring. This plugin makes calculating a range of statistics very easy. To verify if installed, select "Data" from the toolbar. If "Data Analysis" is an option, the feature is installed and ready to use.

### Goal of this tutorial on running Chi-square and Fisher’s exact tests on contingency tables

If not installed, you can request this option by clicking on the Office button and selecting "Excel options". The Visa V stock returns data populates column 1 as the dependent variable. Using that data the same from our R-squared article , we get the following table:. The R 2 value, also known as the coefficient of determination, measures the proportion of variation in the dependent variable explained by the independent variable or how well the regression model fits the data.

The R 2 value ranges from 0 to 1, and a higher value indicates a better fit. The p-value, or probability value, also ranges from 0 to 1 and indicates if the test is significant. In contrast to the R 2 value, a smaller p-value is favorable as it indicates a correlation between the dependent and independent variables. We can chart a regression in Excel by highlighting the data and charting it as a scatter plot.

## Secrets and tips for the Windows 10 May 12222 update

To add a regression line, choose "Layout" from the "Chart Tools" menu. In the dialog box, select "Trendline" and then "Linear Trendline". Lastly, select "Display R-squared value on chart". The visual result sums up the strength of the relationship, albeit at the expense of not providing as much detail as the table above. Financial Ratios. Financial Analysis.

Advanced Technical Analysis Concepts. Portfolio Management.

## Statistics Open For All

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