The following table presents the numerical summary statistics of the before and after data on worker production: Before After Mean 45.33333 Mean 48.16667 Standard Error 0.710669 Standard Error 0.613402 Median 45.5 Median 48.5 Mode 46 Mode 46 Standard Deviation 2.46183 Standard Deviation 2.124889 Sample Variance 6.060606 Sample Variance 4.515152 Kurtosis -1.0494 Kurtosis -1.55242 Skewness 0.196602 Skewness -0.05559 Range 7 Range 6 Minimum 42 Minimum 45 Maximum 49 Maximum 51 Sum 544 Sum 578 Count 12 Count 12 Confidence Level(95.0%) 1.564172 Confidence Level(95.0%) 1.35009 Provide a discussion based on the summary statistics. Discuss how the two sets of data compare with one another in terms of: Measures of central tendency (2 pts) Measures of dispersion (2 pts) Distribution shape (2 pts) 4. Construct 95% confidence intervals for the estimated mean production levels of both the Before and After data. You may either upload a photo of your handwritten solutions or type your solutions down below. 5. Provide an interpretation of the confidence intervals. Are there any overlaps? Can we say that the Before or After production numbers indicate that one is higher than the other