Please add to your main post the missing requirements, and write a quality paragraph telling how the Central Limit Theorem could help you provide better for your patients by Sunday of Week 11. Your main post may earn you additional partial credit, but the response won't but is required. Please email me and I will regrade for partial credit on the main post portion. Alternatively, please submit your four graphs required via excel or the link to the desmos graphs. Write a paragraph discussing the shape of the histogram and how it changes. Also, write a quality paragraph telling how the Central Limit Theorem could help you provide better for your patients. I added the previous discussion post. please use this to help me with me remediation thank you. This weeks discussion was about how to determine the distribution of data using a histogram while using last weeks information. The data used is the medical-related marijuana brand. The variable used in the data is Tetrahydrocannabinol, a component of Cannabis Sativa. The variable is continuous, and the concentration of Tetrahydrocannabinol is recorded for all brands. The histogram is used to show the distribution of Tetrahydrocannabinol levels graphically. However, some notable changes can be seen in the graph. The graph displays data in the form of bars comprising different height. The data used is split into three groups of samples that were selected randomly. The use of different sample sizes determines how the distribution of data behaves while the sample size increases. It is important to note that the variation in the distribution of data as the sample size increases might not be very significant due to the parent data's nature. The entire data might not have taken normal distribution but the changes might not be noticeable as you increase the sample size. Histogram with 10 samples The histogram below provides the distribution of Tetrahydrocannabinol across all the brands of marijuana. The samples used are ten the distribution has no distinct flow as shown in the graph. histogram.xlsx Histogram with 20 samples Tetrahydrocannabinol's distribution for 20 samples shows a different outcome as the distribution seems to take some shape. The data is skewed to the right. The concentration of Tetrahydrocannabinol has more values to right it is positively skewed. histogram.xlsx Histogram with 30 samples The distribution of Tetrahydrocannabinol for 30 samples further shows a positive skewness of the data. The concentration of Tetrahydrocannabinol has more values to right; hence it is positively skewed. histogram.xlsx Histogram with 40 samples The distribution of Tetrahydrocannabinol for 40 samples shows data skewed to the right. As the sample size increases, the data seem to assume a distinct shape. In most cases as the sample size increases, the data takes a normal distribution.