Directions: Please complete the following statistical analyses for the sample data given below. If you do the work for this project by hand, you must show the work you do to arrive at your results. If you use technology (Excel, StatCrunch, graphing calculator, etc.) to obtain the results, you must state the technology you used to obtain the results. Here is the sample data set you will be using for all parts of this Cholesterol Levels for 30 Random People: 193, 208, 240, 215, 242, 253, 214, 205, 206, 203, 210, 188, 215, 199, 193,288, 220, 223, 200, 240, 196, 206, 201, 210, 208, 164, 194, 199, 204, 199 1.Construct a grouped frequency distribution for the sample data. Use 6 classes. Use the minimum data value as the lower limit of the first class. (18 points) Class Limits Class Boundaries Frequency Relative Frequency Cumulative Midpoin Frequency t 2. Draw a histogram for the data set. Title the graph and label the axes appropriately. (6 points) 3. Does the distribution appear to be normal (yes or no)? Explain. (2 points) 4. Find the following descriptive statistics for the sample data. (20 points) Mean Range Median Variance Mode(s) Standard Deviation 5. Find the 5-number summary for the data. (11 points) Min = Q Q Q = Max = 6. Sketch a box plot. Do your best to draw it to scale. Be sure to title the graph. (7 points) 7. What is the IQR for this data set? (2 points) 8. Outlier identification. (4 points) Any data value less than ot greater than_ is to be considered an outlier. Therefore, the following data values are outliers (write none if there are no outliers):