| Problem 4 (40 points) |
| Use the HWAS data for problem 4. Assume HWAS data is a Population, and use the Age column of the data set. |
| Take a Simple Random Sample from the Age column of n=30. |
| a. For this SRS of 30, find the Mean, Std.Deviation, Five-Number Summary, and identify Outliers. Make histogram, and describe distribution. |
| Description should be in sentence form and should include min, max, outliers, shape of histogram, number of peaks, etc. |
| b. Based on the SRS, calculate the best point estimate of the population mean Age ? |
| c. To calculate a 95% confidence level of the sample mean, determine the critical t value and the sample std.deviation. Compute the |
| margin of error and confidence interval. |
| d. How many are needed in a sample to achieve a margin of error of 3 years at 95% confidence level? |
| e. Using the complete Age column of the HWAS data set (the Population), make a histogram and find the mean. |
| Compare with SRS histogram and mean from part a. Does the Population mean Age fall within the confidence interval ? |
| Explain why it is possible for the sample and the population to be dissimilar. |
| Age | Gender | Height | Weight | Ideal weight |
| 38 | F | 65.5 | 133 | 125 |
| 43 | M | 74 | 255 | 190 |
| 28 | F | 63 | 116 | 110 |
| 33 | F | 64 | 250 | 150 |
| 36 | M | 69 | 204 | 185 |
| 51 | M | 66 | 215 | 195 |
| 37 | M | 71 | 226 | 190 |
| 41 | M | 72 | 220 | 190 |
| 45 | F | 68 | 148 | 140 |
| 26 | F | 66 | 160 | 150 |
| 49 | M | 75 | 285 | 240 |
| 47 | F | 67 | 154 | 150 |
| 33 | F | 67 | 134 | 125 |
| 45 | F | 63 | 160 | 130 |
| 50 | M | 66 | 190 | 180 |
| 25 | F | 64 | 148 | 138 |
| 46 | M | 73 | 195 | 180 |
| 36 | F | 65 | 144 | 128 |
| 24 | M | 75 | 201 | 200 |
| 25 | M | 73 | 170 | 180 |
| 58 | F | 62 | 125 | 115 |
| 55 | F | 66 | 180 | 150 |
| 47 | F | 62 | 130 | 115 |
| 35 | M | 73 | 190 | 200 |
| 34 | F | 68 | 212 | 140 |
| 29 | M | 75 | 235 | 180 |
| 20 | F | 62.5 | 135 | 120 |
| 52 | F | 62 | 130 | 120 |
| 30 | M | 73 | 185 | 180 |
| 37 | F | 69 | 230 | 175 |
| 24 | F | 64 | 235 | 140 |
| 26 | M | 70 | 260 | 180 |
| 29 | M | 73.5 | 301 | 205 |
| 31 | F | 63 | 128 | 120 |
| 21 | F | 65 | 125 | 110 |
| 31 | M | 72 | 165 | 175 |
| 33 | F | 67 | 134 | 125 |
| 33 | F | 64 | 163 | 130 |
| 42 | F | 66 | 135 | 130 |
| 22 | F | 65 | 132 | 125 |
| 27 | M | 71 | 155 | 165 |
| 25 | F | 63 | 225 | 175 |
| 29 | M | 70 | 210 | 200 |
| 31 | F | 64 | 120 | 110 |
| 42 | F | 63 | 180 | 135 |
| 22 | F | 65 | 132 | 125 |
| 43 | F | 63 | 160 | 125 |
| 27 | M | 72 | 210 | 200 |
| 38 | F | 68 | 155 | 130 |
| 43 | F | 70 | 180 | 150 |
| 29 | M | 72 | 248 | 220 |
| 21 | F | 67 | 130 | 125 |
| 36 | M | 74 | 215 | 205 |
| 25 | F | 71 | 165 | 150 |
| 35 | F | 63 | 161 | 135 |
| 50 | F | 63 | 115 | 110 |
| 57 | M | 74 | 277 | 240 |
| 31 | M | 74 | 227 | 220 |
| 24 | F | 65 | 147 | 140 |
| 25 | M | 70 | 160 | 175 |
| 22 | M | 71 | 215 | 195 |
| 33 | M | 70 | 190 | 175 |
| 35 | F | 64 | 235 | 160 |
| 28 | F | 67 | 165 | 150 |
| 37 | F | 69 | 200 | 165 |
| 39 | M | 73 | 260 | 220 |
| 38 | F | 62 | 125 | 120 |
| 38 | F | 70 | 185 | 175 |
| 45 | F | 66 | 227 | 155 |
| 32 | M | 72 | 230 | 200 |
| 44 | M | 70 | 450 | 180 |
| 45 | F | 62 | 125 | 121 |
| 31 | M | 68 | 200 | 170 |
| 26 | F | 68 | 125 | 125 |
| 27 | M | 76 | 200 | 215 |
| 46 | M | 73 | 195 | 180 |
| 38 | F | 69 | 190 | 170 |
| 25 | M | 73 | 235 | 180 |
| 34 | M | 73 | 185 | 165 |
| 25 | M | 70 | 150 | 175 |
| 45 | F | 72 | 160 | 140 |
| 32 | M | 75 | 260 | 230 |
| 46 | M | 73 | 195 | 180 |
| 30 | M | 73 | 185 | 180 |
| 33 | F | 67 | 191 | 150 |
| 24 | F | 60 | 150 | 120 |
| 33 | F | 69 | 310 | 150 |
| 47 | M | 73 | 220 | 200 |
| 22 | F | 64 | 127 | 117 |
| 35 | M | 76 | 240 | 205 |
| 28 | F | 67 | 165 | 150 |
| 26 | M | 72 | 220 | 205 |
| 51 | M | 75 | 225 | 225 |
| 23 | M | 66 | 164 | 155 |
| 55 | M | 68 | 290 | 175 |
| 24 | M | 67 | 165 | 160 |
| 25 | M | 72 | 220 | 200 |
| 49 | M | 69 | 188 | 185 |
| 37 | M | 71 | 223 | 190 |
| 27 | M | 72 | 215 | 195 |
| 44 | M | 67 | 187 | 160 |
| 46 | F | 68 | 172 | 140 |
| 28 | M | 71 | 260 | 200 |
| 38 | M | 70 | 220 | 185 |
| 26 | F | 66 | 150 | 125 |
| 48 | F | 63 | 115 | 113 |
| 39 | F | 64 | 165 | 140 |
| 27 | F | 56 | 130 | 105 |
| 41 | F | 64 | 116 | 116 |
| 38 | F | 69 | 255 | 155 |
| 45 | M | 70 | 230 | 220 |
| 22 | F | 65 | 132 | 125 |
| 31 | F | 62 | 120 | 115 |
| 28 | F | 61 | 135 | 115 |
| 33 | F | 67 | 177 | 160 |
| 30 | M | 73 | 205 | 180 |
| 26 | M | 73 | 190 | 180 |
| 26 | M | 68 | 170 | 160 |
| 46 | F | 62 | 121 | 115 |
| 31 | M | 71 | 412 | 250 |
| 46 | F | 60 | 126 | 120 |
| 20 | M | 71 | 165 | 165 |
| 51 | F | 62 | 150 | 120 |
| 30 | F | 68 | 200 | 175 |
| 41 | M | 76 | 245 | 220 |
| 22 | F | 78 | 150 | 175 |
| 26 | F | 63 | 140 | 128 |
| 38 | M | 67 | 185 | 165 |
| 20 | F | 60 | 123 | 115 |
| 20 | F | 62 | 130 | 115 |
| 37 | M | 74 | 160 | 185 |
| 37 | M | 69 | 150 | 150 |
| 27 | F | 62 | 181.8 | 125 |
| 40 | M | 71 | 190 | 175 |
| 33 | F | 67 | 210 | 180 |
| 46 | M | 73 | 250 | 225 |
| 31 | F | 61 | 123 | 135 |
| 17 | F | 68 | 120 | 125 |
| 37 | F | 63 | 124 | 118 |
| 28 | F | 62 | 130 | 115 |
| 30 | M | 71 | 140 | 175 |
| 30 | F | 60 | 112 | 115 |
| 46 | F | 62 | 135 | 130 |
| 66 | F | 66 | 150 | 140 |
| 30 | F | 60 | 114 | 115 |
| 25 | F | 64 | 198 | 145 |
| 23 | F | 68 | 143 | 143 |
| 19 | F | 63 | 142 | 130 |
| 45 | F | 67 | 145 | 132 |
| 40 | F | 64 | 145 | 120 |