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1. The python script does shows the skewed data distribution 2. The TPCP population mean is 493.05 3. The random sample mean is 554.86. This sample mean is off by 61.81 compared to the population mean. 4. The dataframe is represented in my attachment. 5. Yes the dataframe does approximate a Normal distribution. This would confirm the first part of the central limit theorem as is form a gradual (bell-shaped) graph as sample size increases and are repeatedly drawn upon regardless of the population shape. 6. The grand mean is 492.86 and the standard deviation of the 1000 samples are 50.78. This shows that the 2nd part of the CLT is confirmed as the grand mean is approximate to the population mean of 493.05....