Statistical Analysis Using SPSS · Open IBM SPSS Statistics 24 (AppV5) in the SPSS folder in the start menu. · Double click Open another file ... . Then choose the SPSS Alcohol file. . Explore Data View · Explore Variable View . Look at the Label column . Look at the Measure column Measures Of Central Tendency and Dispersion · Analyse-> descriptive statistics -> frequencies . Move the variables you are interested in to the right box. . Click on Statistics ... . For the moment, tick those that have been ticked here. In future, you may want to use more measures. . Click Continue · Output is opened in another window Normal Distribution . Analyse-> Descriptive Statistics-> Q-Q Plots-> Move the Number of units of alcohol to the Variables box. - > With a QQ Plot, if the plotted points (circles) follow the 45-degree line, we can be happy the variable is approximately normally distributed · Analyse-Descriptive Statistics- Explore-> Move Income in pounds to Dependent List box. > Click on Plots. - > Tick Normality plots with tests. - > Then Continue, and OK. Normal Distribution- Shapiro Wilks Test · As p-value, or Sig. value (0.204), is greater than level of significance (0.05), we fail to reject the null hypothesis. The data is therefore normal Skewness and Kurtosis · Analyse-> Descriptive Statistics-> Frequencies-> This time, tick skewness and kurtosis . Small positive skew of 0.626 . Skew of a normal distribution is zero. . Standard Error is the estimate of the standard deviation. . This is excess kurtosis (a kurtosis that shows a normal distribution is 3). . Excess kurtosis of a normal distribution is zero. · Data has platykurtic distribution as -1.016 is less than zero.