Pearson’s First Coefficient of Skewness formula = (mean-mode)/standard deviation
mean and mode are calculated in following table
SD = Square root((Sum of (mean-X)^2)/n)
X | Mean-X | (Mean-X)^2 | |
91 | 19.5 | 380.25 | |
62 | -9.5 | 90.25 | |
54 | -17.5 | 306.25 | |
72 | 0.5 | 0.25 | |
76 | 4.5 | 20.25 | |
84 | 12.5 | 156.25 | |
38 | -33.5 | 1122.25 | |
76 | 4.5 | 20.25 | |
70 | -1.5 | 2.25 | |
84 | 12.5 | 156.25 | |
59 | -12.5 | 156.25 | |
82 | 10.5 | 110.25 | |
76 | 4.5 | 20.25 | |
74 | 2.5 | 6.25 | |
52 | -19.5 | 380.25 | |
76 | 4.5 | 20.25 | |
85 | 13.5 | 182.25 | |
76 | 4.5 | 20.25 | |
Mean | 71.5 | Sum | 3150.5 |
Mode | 76 |
SD = sqrt(3150.2/18) = 13.23
So, Pearson’s first Coefficient of Skewness = (71.5 - 76)/12.23 = -0.34
b) Estimate Pearson's First Coefficient of skewness for the given the Data : 91 62 54...
Problem #1: Consider the below matrix A, which you can copy and paste directly into Matlab. The matrix contains 3 columns. The first column consists of Test #1 marks, the second column is Test # 2 marks, and the third column is final exam marks for a large linear algebra course. Each row represents a particular student.A = [36 45 75 81 59 73 77 73 73 65 72 78 65 55 83 73 57 78 84 31 60 83...
Calculate the range, mean, mode, median, Standard deviation Calculate the skewness and kurtosis for the above data and interpret the data. The following is data collected from the daily salary employees of ZZ COMPANY.. 68 19 43 11 37 30 19 67 65 34 96 23 93 73 46 39 21 12 89 52 33 21 18 57 80 56 91 62 56 48 84 23 78 96 49 36 90 42 65 15 43 36 65 59 34 71...
Use the accompanying data set on the pulse rates (in beats per minute) of males to complete parts (a) and (b) below. LOADING... Click the icon to view the pulse rates of males. a. Find the mean and standard deviation, and verify that the pulse rates have a distribution that is roughly normal. The mean of the pulse rates is 71.871.8 beats per minute. (Round to one decimal place as needed.) The standard deviation of the pulse rates is 12.212.2...
The given data is the grades for people in this class. The goal here is to determine the factors that effect student's Grade in the class. 4) Find the mean and median for the men's and the women's Quizzes. Gender Men Women 5) Test the claim that the majority of students at this class are women. F M F F M F F F F M M F F F M F F F F M M F F M...
Body Exam measurements are from 300 subjects. Age is in years, GENDER 1 = Male 0 = Female. PULSE is the pulse rate (beats per minute), SYSTOTOLIC is systolic blood pressure (mmHg). DIASTOLIC is diastolic blood pressure (mmHG), HDL is cholesterol (mg/dL). LDL is LDL cholesterol (Hg/dL). WHITE is the white blood cell count (1000cells/μL). RED is red blood cell count (million cells/ μL), PLATE is platelet count (1000cells/μL). WEIGHT is weight (kg), HEIGHT is height (cm), WAIST is waist...
1. Forecast demand for Year 4.
a. Explain what technique you utilized to forecast your
demand.
b. Explain why you chose this technique over others.
Year 3 Year 1 Year 2 Actual Actual Actual Forecast Forecast Forecast Demand Demand Demand Week 1 52 57 63 55 66 77 Week 2 49 58 68 69 75 65 Week 3 47 50 58 65 80 74 Week 4 60 53 58 55 78 67 57 Week 5 49 57 64 76 77...
Consider the following list of ages 71, 58, 79, 78, 81, 33, 80, 62, 74, 54, 91, 76, 70, 99, 93, 92, 81, 54, 72, 82, 84, 74, 90, 77, 51, 75, 62, 74, 62, 79, 90 (a) Create a stemplot for the ages using each 10s value twice instead of once on the stem. (Enter numbers from smallest to largest separated by spaces. Enter NONE for stems with no values.) stem leaf 3 3 الما none 4 none 4...
Create a JavaFX application that generates a 10 x 10 grid. Populate each cell in the grid with a random integer in the range [0, 99]. If the integer is divisible by 2, color the cell blue. If the integer is divisible by 3, color the cell yellow. If the integer is divisible by 6, color the cell green. Here's a sample run: Number Grid 74 74 38 57 62 40 42 65 27 38 44 8 48 60 30...
Problem 8.4: Refer to Muscle Mass Problem 1.27. Second-order regression model (8.2) with independent normal error terms is expected to be appropriate. A. Fit regression model (8.2). Plot the fitted regression function and the data. Does the quadratic regression function appear to be a good fit here? Find R^2. B. Test whether or not there is regression relation; use α= .05. State the alternatives, decision rule and conclusion. C. Estimate the mean muscle mass for women aged 48...
The following scores represent the final examination grades for an elementary statistics course: 23 60 79 32 57 74 52 70 82 36 80 77 81 95 41 65 92 85 55 76 52 10 64 75 78 25 80 98 81 67 41 71 83 54 64 72 88 62 74 43 60 78 89 76 84 48 84 90 15 79 34 67 17 82 69 74 63 80 85 61 Calculate: Stem and leaf Relative frequency histogram Cumulative frequency Sample Mean Sample Median Mode Variance Standard deviation