Table 1-4 describes the variety of options available to you from the PrintPreview tab in the Print Preview window.Table 1-4 Print Preview Options Description Send the document to the printer Button Set up the properties of the printed page Print Zoom in and out of the Preview window Page Setup View the next page in the print job Zoom View the previous page in the print job Next Page Display margins in the Preview window Previous Page Close the Print Preview window Show Margins Close Print PreviewSetting Up the Page The Preview window opens with the default print settings for the work- book. Figure 1-13 The Print Preview Window Print Preview tab Zoom controls to increase/decrease the magnification of the previewed document18 Excel The Print Preview opens as displayed in Figure 1-13. 2 Click the Office button, then click Print, and then click Print Preview. To preview a print job: 1 Verify that Total Usage is still the active worksheet. Try this now with the Total Usage worksheet. With Excel’s Print Preview window, you can view your job before it’s printed, as well as set up the page margins, orientation, and headers and footers. To do this, you can print out selected portions of the workbook.Previewing the Print Job Before sending a job to the printer, it’s usually a good idea to preview the output. Printing from Excel It would be useful for the chief of interpretation at Kenai Fjords National Park to have a hard copy of some of the worksheets and charts in the Park workbook. You canrefer to Excel’s online Help for more information. If you want to copy a cell range rather than move it, you can use the Copybutton in the above steps, or if you prefer the drag and drop technique,hold down the CTRL key while dragging the cell range to its new location this will create a copy of the original cell range at the new location. 5 Click cell A1 to make A1 the active cell again. The table now appears back in the cell range, B4:F17. You should make sure that your test has enough power to detect a difference that is practically significant.V. You do not have enough evidence to conclude that the mean difference between the paired observations is statistically significant. P-value > α: The difference between the means is not statistically significant (Fail to reject H 0) If the p-value is greater than the significance level, the decision is to fail to reject the null hypothesis.
For more information, go to Statistical and practical significance. If you did not specify a hypothesized difference, Minitab tests whether there is no difference between the means ( Hypothesized difference = 0) Use your specialized knowledge to determine whether the difference is practically significant. You can conclude that the difference between the population means does not equal the hypothesized difference. P-value ≤ α: The difference between the means is statistically significant (Reject H 0) If the p-value is less than or equal to the significance level, the decision is to reject the null hypothesis. A significance level of 0.05 indicates a 5% risk of concluding that a difference exists when there is no actual difference. Usually, a significance level (denoted as α or alpha) of 0.05 works well. To determine whether the difference between the population means is statistically significant, compare the p-value to the significance level. For more information, go to Ways to get a more precise confidence interval. If the interval is too wide to be useful, consider increasing your sample size. Use your specialized knowledge to determine whether the confidence interval includes values that have practical significance for your situation. The confidence interval helps you assess the practical significance of your results. For example, a 95% confidence level indicates that if you take 100 random samples from the population, you could expect approximately 95 of the samples to produce intervals that contain the population mean difference. The confidence interval provides a range of likely values for the population mean difference of the paired observations. To better estimate the population mean difference, use the confidence interval of the difference.
Because the mean difference is based on sample data and not on the entire population, it is unlikely that the sample mean difference equals the population mean difference. The mean difference is an estimate of the population mean difference. The mean difference is the average of the differences between the paired observations in your sample. First, consider the mean difference, and then examine the confidence interval.
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