\fPart A If you roll a seven sided die and x is the outcomes, the probability distribution of x is X P(x) 1 1/7 2 1/7 3 1/7 4 1/7 5 1/7 6 1/7 7 1/7 Mean = [ x. p(x) = Variance = [ x3. p(x) - #3 = Standard deviation =Part B Frequency , Relative frequency and percentage distributions Sample size =25 X f Relative frequency percentage Sample size = 200 X f Relative frequency percentage 1 Sample size = 1000 X f Relative frequency percentageMean , Mode, Variance and Standard deviation n=25 n=200 n=1000 Mean Mode Variance Standard deviation Quartiles and Inter Quartile Range n=25 n=200 n=1000 1" Quartile and Quartile 3d Quartile IOR\fPart C Comparison of Probabilities ( Classical Vs. Experimental] Classical n = 25 n=200 n=1000 P(1 P (2) P(3) P(4) P(5) P (6) P(7) Comparison of mean, variance and standard deviation Probability distribution n = 25 1=200 1=1000 Mean Variance Standard deviationPart D 95% Confidence interval for the population mean - using the Z distribution Confidence interval Width of the confidence interval n=25 n=200 n=1000 95% Confidence interval for the population mean - using the t distribution Confidence interval Width of the confidence interval n=25 n=200 n=1000 Conclusion You can write the conclusion at the end of the each graph, table etc or you can write it at the end of the project. Writing at the end of each graph or table is much easier