educ 13.42 tvhours wordsum 5.85 13.00 2.00 3.090 2.690 1.947 9.551 1.235 3.189 6.00 3) Find the skewness value for each of the variables below. Skewness values can tell you if you have a significantly skewed distribution or not. To find out if your distribution is significantly skewed, you can calculate a confidence interval (CI) around your skewness statistic and its standard error (SE). Report the skewness statistic and SE for each of the variables below: Statistic SE age .397 0447 chldidel 966 .046 .068 wordsum -1.97 Plug your skewness values into the equation below. You should get a confidence interval (composed of two numbers). If the value crosses "0" (i.e., if "0" falls with the CI), your distribution is not significantly skewed. If the value does not cross "0" (i.e., if "0" falls outside the CI), your distribution is significantly skewed. Equation: Lower bound = skewness value - (1.96 * SE of skewness value) Upper bound = skewness value + (1.96 * SE of skewness value) age CI Crosses 0? Significant? chldidel wordsum How do these results compare with your answers when your answers when you viewed the histograms? To do a one-sample t-test: Analyze > Compare Means > One sample t-test Move over the variable of interest Enter the population mean into "Test Value" OK