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The American Medical Association Center for Health Policy Research included data, by state, on the number of community hospitals and the average patient stay (in days) in its publication State Health Care Data: Utilization, Spending, and Characteristics. The data (by state) are shown in the table. Average Average Average No. of Length No. of Length No. of Length State Hospitals of Stay State Hospitals of Stay State Hospitals of Stay Alabama 119 7.0 Kentucky 107 6.9 N. Dakota 47 11.1 Alaska 16 5.7 Louisiana 136 6.7 Ohio 193 6.6 Arizona 61 5.5 Maine 38 7.2 Oklahoma 113 6.7 Arkansas 88 7.0 Maryland 51 6.8 Oregon 66 5.3 California 440 6.0 Massachusetts 101 7.0 Pennsylvania 236 7.5 Colorado 71 6.8 Michigan 175 7.3 Rhode Island 12 6.9 Connecticut 35 7.4 Minnesota 148 8.7 S. Carolina 68 7.1 Delaware 8 6.8 Mississippi 102 7.2 S. Dakota 52 10.3 D.C. 11 7.5 Missouri 133 7.4 Tennessee 122 6.8 Florida 227 7.0 Montana 53 10.0 Texas 421 6.2 Georgia 162 7.2 Nebraska 90 9.6 Utah 42 5.2 Hawaii 19 9.4 Nevada 21 6.4 Vermont 15 7.6 Idaho 41 7.1 New Hampshire 27 7.0 Virginia 98 7.0 Illinois 209 7.3 New Jersey 96 7.6 Washington 92 5.6 Indiana 113 6.6 New Mexico 37 5.5 W. Virginia 59 7.1 Iowa 123 8.4 New York 231 9.9 Wisconsin 129 7.3 Kansas 133 7.8 N. Carolina 117 7.3 Wyoming 27 8.5 Make a stem-and-leaf display of the data for the average length of stay in days. (Use the digit(s) to the left of the decimal point as the stem and the digit to the right as the leaf. Enter NONE in any unused answer blanks.) Average Length of Hospital Stay Comment about the general shape of the distribution. O The distribution is skewed left. The distribution is uniform. The distribution is bimodal.MY NOTES ASK YOUR TEACHER 3. [-/1.08 Points] DETAILS BBUNDERSTAT12 2.3.004. The American Medical Association Center for Health Policy Research included data, by state, on the number of community hospitals and the average patient stay (in days) in its publication State Health Care Data: Utilization, Spending, and Characteristics. The data (by state) are shown in the table. Average Average Average No. of Length No. of Length No. of Length State Hospitals of Stay State Hospitals of Stay State Hospitals of Stay 11.1 Alabama 119 7.0 Kentucky 107 6.9 N. Dakota 47 16 5.7 Louisiana 136 6.7 Ohio 193 6.6 Alaska Arizona 61 5.5 Maine 38 7.2 Oklahoma 113 6.7 Arkansas 88 7.0 Maryland 51 6.8 Oregon 66 5.3 California 6.0 Massachusetts 101 Pennsylvania 236 7.5 440 7.0 6.9 Colorado 71 6.8 Michigan 175 7.3 Rhode Island 12 Connecticut 35 7.4 Minnesota 148 8.7 S. Carolina 68 7.1 8 6.8 Mississippi 102 7.2 S. Dakota 52 10.3 Delaware D.C. 11 7.5 Missouri 133 7.4 Tennessee 122 6.8 421 6.2 Florida 227 7.0 Montana 53 10.0 Texas Georgia 162 7.2 Nebraska 90 9.6 Utah 42 5.2 Hawaii 19 9.4 Nevada 21 6.4 Vermont 15 7.6 Idaho 41 7.1 New Hampshire 27 7.0 Virginia 98 7.0 Illinois 209 7.3 New Jersey 96 7.6 Washington 92 5.6 Indiana 113 6.6 New Mexico 37 5.5 W. Virginia 59 7.1 129 7.3 Iowa 123 8.4 New York 231 9.9 Wisconsin Kansas 133 7.8 N. Carolina 117 73 Wyoming 27 8.5Using the number of hospitals per state listed in the table above, make a stem-and-leaf display for the number of community hospitals per state. (Enter NONE in any unused answer blanks.) Number of Hospitals per State 15 16 17 W N 18 19 20 22 23 11 12 42 13 43 14 44 Which states have an unusually high number of hospitals? (Select all that apply.) O Montana O North Carolina O Alaska O New York O Texas O California4. [-/1 Points] DETAILS BBUNDERSTAT12 2.3.008. MY NOTES ASK YOUR TEACHER Are cigarettes bad for people? Cigarette smoking involves tar, carbon monoxide, and nicotine (measured in milligrams). The first two are definitely not good for a person's health, and the last ingredient can cause addiction. Brand Tar Nicotine CO Brand Tar Nicotine CO Alpine 14.1 0.86 13.6 MultiFilter 11.4 0.78 10.2 Benson & Hedges 16.0 1.06 16.6 Newport Lights 9.0 0.74 9.5 Bull Durham 29.8 2.03 23.5 Now 1.0 0.13 1.5 Camel Lights 8.0 0.67 10.2 Old Gold 17.0 1.26 18.5 Carlton 4.1 0.40 5.4 Pall Mall Lights 12.8 1.08 12.6 Chesterfield 15.0 1.04 15.0 Raleigh 15.8 0.96 17.5 Golden Lights 8.8 0.76 9.0 Salem Ultra 4.5 0.42 4.9 Kent 12.4 0.95 12.3 Tareyton 14.5 1.01 15.9 Kool 16.6 1.12 16.3 True 7.3 0.61 8.5 L&M 14.9 1.02 15.4 Viceroy Rich Light 8.6 0.69 10.6 Lark Lights 13.7 1.01 13.0 Virginia Slim 15.2 1.02 13.9 Marlboro 15.1 0.90 14.4 Winston Lights 12.0 0.82 14.9 Merit 7.8 0.57 10.0Use the data in the table above to make a stem-and-leaf display for milligrams of carbon monoxide per cigarette smoked. (Enter NONE in any unused answer blanks.) Milligrams of Carbon Monoxide IN 3 A 00 10 11 12 13 14 15 16 17 18 23 Are there any outliers? O No, there are no outliers. O Yes, 18.5 may be an outlier. Yes, 23.5 ma1. [-/1 Points] DETAILS BBUNDERSTAT12 2.3.001. MY NOTES ASK YOUR TEACHER How long did real cowboys live? One answer may be found in the book The Last Cowboys by Connie Brooks (University of New Mexico Press). This delightful book presents a thoughtful sociological study of cowboys in West Texas and Southeastern New Mexico around the year 1890. A sample of 32 cowboys gave the following years of longevity: 58 52 86 72 66 97 89 84 91 91 92 66 68 87 86 73 61 70 75 73 85 84 90 57 77 76 84 93 58 47 (a) Make a stem-and-leaf display for these data. (Use the tens digit as the stem and the ones digit as the leaf. Enter numbers from smallest to largest separated by spaces. Enter NONE for stems with no values.) Longevity of Cowboys 58 (b) Consider the following quote from Baron von Richthofen in his Cattle Raising on the Plains of North America: "Cowboys are to be found among the sons of the best families. The truth is probably that most were not a drunken, gambling lot, quick to draw and fire their pistols." Does the data distribution of longevity lend credence to this quote? O Sort of, these cowboys lived somewhat long lives, as evidenced by the high frequency of leaves for stems 5 and 6 (i.e., 50- and 60-year-olds). O Yes, these cowboys certainly lived long lives, as evidenced by the high frequency of leaves for stems 7, 8, and 9 (i.e., 70-, 80-, and 90-year-olds). O No, these cowboys did not live long lives, as evidenced by the high frequency of leaves for stems 4 and 5 (i.e., 40- and 50-year-olds). Need Help? Read It Viewing Saved Work Revert to Last Response