Grading 6 points C This is not an paper, but if I can\'t understand what you mea

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Grading 6 points C This is not an paper, but if I can't understand what you mean, then I can't give oherence: 6 points credit. Get a friend to read through your paper before you submit it. Accuracy: Some of this project is subjective, but any statements of fact have to be true. All statistics terms should be used in accordance with their definitions. Math should be done correctly. 4 points ompleti I hope these are 4 free points. ion: 4 points Requirements met. The Project 1. Construct individual histograms for the salaries of the CEos and the ages of the CEos Separate each data set into classes of equal width. Typically, data sets are split into somewhere between 5 and 20 classes, all of equal width. Count the number of data points for each class. de all of the information that you think is relevant.) 3. If we define nearly normal" as departures from normality are not too extreme and there are no outliers, could we describe the data as nearly normally distributed? (Give individual responses to each data set.) 4. Do you feel that we can draw conclusions about the distributions of the populations, based on the distributions of the data that we have? Explain your reasoning. 5. Is the sample a simple random sample? Explain your reasoning Regardless of your to 5, we will proceed from here as though the sample is a simple random sample.

Explanation / Answer

1]

For Salary

2]

Histograms of Age look like as symmetric in nature, there is only one peak, then we call it unimodal. If this one peak occurs at the center of the graph, it is also called bell-shaped.

and Histogram of Salary look like as skewed type, If our graph has more data on one side rather than the other, we call it skewed. Here also only one peak, then we call it unimodal. There are two types of skewed data Positive skewed and Negative skewed, and this Histogram is Positive skewed. Because This kind of data has a large number of occurrences in the lower value cells (left side) and few in the upper value cells (right side).

3]

If we not consider in the column of age perticular points like 32, 33, 36, 37, 38, 70, and 74 because they seems to be outlier. After neglecting this points Histogram of Age will be normal graph with bell shaped.

Similarly, In the column of Salary, if we do not consider the following points 21, 58, 145, 149, 198, 200, 204, 206, 213, 800, 802, 862, and 1103. After deleting these points our Histogram will be normal bell-shaped.

Bin Frequency 0-32 1 32.01-38 4 38.01-44 6 44.01-50 20 50.01-56 13 56.01-62 11 62.01-68 1 More 4

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