i need help with part b and c ! i just dont understand heres the data expalin please!

Part 2. (10.5 points) Identify the distribution. The main purpose of probability density function is to model a random variable. We use the model to find probabilities and expectations for new values. The data collected in the file DA2_Cont_RV_Data.csv represents 1000 measurements for three continuous random variables. Use this data in association with the R script, DA2_Cont_RV.R, to visualize and calculate the expectation and variance for each random variable. For each random variable: a. (1.5 points each) Based on the shape of the data (paste your plots from R), you need to identify which common probability density function best fits the data. Uniform, Exponential or Normal distribution. Explain your reasoning. b. (1 point each) From the mean and variance, calculate specific parameter values that describe the distribution. Show work! Round to nearest whole number *Exponential round to two decimal places. c (1 point cach) Based on the parameters, state the unique probability density function. Include the range. > # Select and run lines il t > # Expectation and Variance, > mean (cont_RVsSrvl) [1] 6.264699 > var (cont_RVs$rvl) [1] 35.09125 > > # Expectation and Variance, > mean (cont RV3$rv2) [1] 2012.003 > var (cont RVs$rv2) [1] 156673.2 > > # Expectation and Variance, > mean (cont_RVsSrv3) [1] 450.9865 > var (cont RVsSrv3) [1] 7428.629 > 1 Random Variable 1 Random Variable 2 Random Variable 3 80 500 150 400 00E 100 Frequency Frequency 40 200 50 100 0 10 20 30 40 50 1000 2000 3000 300 400 500 600 Continuous Units Continuous Units Continuous Units