1. Provide an appropriate response. Use the data to identify any outliers. 35 41 49 65 67 69 70 72 74 76 79 82 87 90 99 35 None 35,41 35,99 2. Provide an appropriate response. The weights (in pounds) of 30 preschool children are listed below. Find the five-number summary. 25 25 26 26.5 27 27 27.5 28 28 28.5 29 29 30 30 30.5 31 31 32 32.5 32.5 33 33 34 34.5 35 35 37 37 38 38 Min = 25, Q = 28, Q = 30.5, Q3 = 34, Max = 38 Min = 25, Q = 27.5, Q2 = 30.5, Q3 = 33.5, Max = 38 Min = 25, Q = 27.5, Q2 = 30.75, Q3 = 33, Max = 38 Min = 25, Q = 28, Q = 30.75, Q3 = 34, Max = 38 3. Provide an appropriate response. The cholesterol levels (in milligrams per deciliter) of 30 adults are listed below. Draw a box-and-whisker plot that represents the data. 154 156 165 165 170 171 172 180 184 185 189 189 190 192 195 198 198 200 200 200 205 205 211 215 220 220 225 238 255 265 4. Provide an appropriate response. The cholesterol levels (in milligrams per deciliter) of 30 adults are listed below. Find Q1. 154 156 165 165 170 171 172 180 184 185 189 189 190 192 195 198 198 200 200 200 205 205 211 215 220 220 225 238 255 265 171 200 184.5 180 Heights of adult women have a mean of 63.6 in. and a standard deviation of 2.5 in. Apply Chebyshev's Theorem to the data using k = 3. Interpret the results. Bi U Font Family - AA A = = All changes saved 2. Provide an appropriate response. The mean score of a placement exam for entrance into a math class is 80, with a standard deviation of 10. Use the Empirical Rule to find the percentage of scores that lie between 60 and 80. (Assume the data set has a bell- shaped distribution.) 34% 95% 47.5% 68% 3. Provide an appropriate response. The mean length of a human pregnancy is 268 days, with a standard deviation of 12 days. Use the Empirical Rule to determine the percentage of women whose pregnancies are between 256 and 280 days. (Assume the data set has a bell-shaped distribution.) BU Font Family -AA A FEE The mean SAT verbal score is 449, with a standard deviation of 95. Use the Empirical Rule to determine what percent of the scores lie between 449 and 544. (Assume the data set has a bell-shaped distribution.) 68% 49.9% 34% 47.5%