In Excel 2007, click the Office button and then click Excel Options. In Excel 2003, choose Options from the Tools menu. Choose Advanced in the left pane. In Excel 2003, click the View tab. MS Excel 2011 for Mac: Hide zero value lines within a pivot table. This Excel tutorial explains how to hide zero value lines within a pivot table in Excel 2011 for.

» » Formatting Charts Formatting Charts in Excel Once you create a chart it's easy to format and enhance your chart using Excel's menus and commands. To change chart style in Excel, simply right click or double click on the chart item you want to format to view the formatting options for that item. Just a few of the chart items you can format are: • • • • If you are using QI Macros with Excel 2007, view our.

Chart Titles, Axis Titles, and Data Labels TO CHANGE TEXT: To change the title, axis or data label text, click once on the text box to highlight it, then click again to place your cursor within the text box. Note: don't double click on the title; this will open the formatting box and text cannot be modified there. TO CHANGE TITLE APPEARANCE: Right click on the title or data label you want to format and select Format, or double click.

So you need to find the p-value for your hypothesis test. To do so, employ the spreadsheet program. Using a simple formula, you can easily determine the p-value for your tests and thereby conclude strong or weak support of the.

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Probability values, or p-values, were in statistics, though they've been around since the late-1700s. This value, which determines the 'significance of results' in hypothesis testing, is used in, from economics to criminology. In short order, it tells us the how strong a claim or null hypothesis is.

Will the null hypothesis be proven out? Or will it be rejected in favor of the alternative hypothesis? The answer lies with the p-value(s). Don't Miss: P-Value Formula & Arguments As said, when testing a hypothesis in statistics, the p-value can help determine support for or against a claim by quantifying the evidence.

The Excel formula we'll be using to calculate the p-value is: • =tdist(x,deg_freedom,tails) Where the arguments are: • x = t • deg_freedom = n-1 () • tails = 1 for a or 2 for a two-tail test. Four rows of values, broken down into p-value arguments.

Image by meaniefiene/YouTube Significance Level & Testing A common significance level used is 0.05, which says that if the resultant p-value is equal to or less than 0.05, then there's strong evidence against the null hypothesis (and enter the alternative hypothesis). If the p-value is greater, then the null hypothesis has merit.

And so to solve the p-value in an Excel spreadsheet, simply select a cell and type in =t-dist( to bring up the formula and then type in the arguments, separating each by a comma. Image by meaniefiene/YouTube If we use 0.05 as the significance level, then from this set, what do we find? Considering the calculated p-values in column I in our examples above, we can conclude that all tests but the first ( p-value = 0.006413) have strong evidence in favor of the null hypothesis.

Ready to carry out some hypothesis testing of your own? As you fire up the Excel, check out the original tutorial below by YouTube user. While it's seen using an older version of Excel, the function works the exact same way on newer versions, no matter if you're using Excel on a Windows or Mac computer.

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