Business Analytics 6043 Assignment 2 SPSSCreate a descriptive statistics tableDescriptive StatisticsNMinimumMaximumMeanStd. DeviationSkewnessKurtosisStatisticStatisticStatisticStatisticStatisticStatisticStd. ErrorStatisticStd. ErrorJIT3201.007.004.18081.34260.199.136-.205.272TQM3201.007.005.16031.23694-.639.136.230.272AM3201.007.005.34501.22530-.826.136.630.272OP3201.007.005.00861.07288-.176.136.004.272Valid N (listwise)320SkewnessAnalyzing the descriptive statistic table, the values for Just in Time (0.199), Total Quality Management (-0.639), Agile manufacturing (-0.826), and Operational Performance (-0.176) are inside the range (-2.00 & +2.00) which we can determine the skewness value for these variables are sufficiently normally distributed. Recall, values are normally distributed when they are equal to zero. KurtosisLooking at the descriptive statistic table above, we see that kurtosis values for JIT (-0.205), TQM (0.230), AM (0.630), and OP (0.004) are inside the range (-2.00 & +2.00). Which these values are sufficiently normally distributed. Again, what is considered normal distributed would be the values of the variables equal to zero. Create a correlation matrixCorrelationsJITTQMAMOPJITPearson Correlation1.678**.575**.523**Sig. (2-tailed)<.001<.001<.001N320320320320TQMPearson