The water and sewage service company of a city in the country selected 120 clients, at random, who use this service. In the last month, the value of these invoices, in thousands of $, is reported in the following frequency distribution. The calculated average value of customer invoices is: Note: Answer with at least 4 decimal places x¯= Answer
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The water and sewage service company of a city in the country selected 120 clients, at random, who use this service. In the last month, the value of these invoices, in thousands of $, is reported in the following frequency distribution.
The calculated average value of customer invoices is:
Note: Answer with at least 4 decimal places
x¯= Answer
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- Date DJIA S&P 500 January 6 12,360 1,278 January 13 12,422 1,289 January 20 12,720 1,287 January 27 12,660 1,234 February 3 12,862 1,267 February 10 12,801 1,243 February 17 12,950 1,262 February 24 12,983 1,378 March 2 12,978 1,301 March 9 12,922 1,345 March 16 13,233 1,404 March 23 13,081 1,404 March 30 13,212 1,408 April 5 13,060 1,398 April 13 12,850 1,203Rank Player Money ($) Scoring Average DrDist DrAccu GIR 1 Vijay Singh 6,601,094 70.27 297.8 59.45 68.45 2 Phil Mickelson 5,188,875 70.28 295.7 55.27 65.81 3 Sergio Garcia 4,858,224 70.6 294.6 59.39 67.06 4 Kenny Perry 4,663,794 70.21 296 61.97 67.47 5 Anthony Kim 4,656,265 70.22 300.9 58.34 65.78 6 Camilo Villegas 4,422,641 70.6 293.3 58.15 64.6 7 Padraig Harrington 4,313,551 70.7 296.3 59.37 60.67 8 Stewart Cink 3,979,301 70.65 296.9 55.27 66.94 9 Justin Leonard 3,943,542 70.41 281.4 67.72 66.61 10 Robert Allenby 3,606,700 70.64 291.7 65.64 70.4 11 Jim Furyk 3,455,714 70.56 280.4 69.37 66.78 12 Ryuji Imada 3,029,363 71.13 278.6 59.64 61.39 13 Mike Weir 3,020,135 70.68 284.8 62.46 64.62 14 Geoff Ogilvy 2,880,099 71.38 292.1 58.18 61.89 15 K.J. Choi 2,683,442 71.01 286.1 61.38 65.48 16 Ben Curtis 2,615,798 70.96 284.7 67.2 63.45 17 Kevin Sutherland 2,581,311 70.22 291 61.93 68.2 18 Trevor Immelman 2,566,199 71.85 291.3 62.45 63.07 19 Ernie Els…Following are the quantities and prices for the years 2010 and 2018 for Kinzua Valley Geriatrics. Use 2010 as the base period. 2010 2018ItemPriceQuantity PriceQuantitySyringes (dozen)$6.94 1,332 $6.18 1,957 Thermometers 8.32 5 16.38 15 Advil (bottle) 4.69 283 8.89 295 Patient record forms (box) 6.19 924 9.82 1,027 Copier paper (box) 10.48 55 25.96 81 %media:2excel.ext% Click here for the Excel Data File a. Determine the simple price indexes. (Round your answers to 2 decimal places.) b. Determine the simple aggregate price index for the two years. (Round your answer to 2 decimal places.) c. Determine the Laspeyres price index. (Round your answer to 2 decimal places.) d. Determine the Paasche price index. (Round your answer to 2 decimal places.) e. Determine Fisher's ideal index. (Round your answer to 2 decimal places.).
- headcirc length gestage birthwt momage toxemia 27 41 29 1360 37 0 29 40 31 1490 34 0 30 38 33 1490 32 0 28 38 31 1180 37 0 29 38 30 1200 29 1 23 32 25 680 19 0 22 33 27 620 20 1 26 38 29 1060 25 0 27 30 28 1320 27 0 25 34 29 830 32 1 23 32 26 880 26 0 26 39 30 1130 29 0 27 38 29 1140 24 0 27 39 29 1350 26 0 26 37 29 950 25 0 27 39 29 1220 25 0 26 38 29 980 28 0 29 42 33 1480 30 0 28 39 33 1250 31 1 27 38 29 1250 37 0 25 36 28 920 31 0 25 38 30 1020 21 0 24 34 27 750 21 0 31 42 33 1480 30 0 28 37 32 1140 23 0 23 32 28 670 33 1 26 36 29 1150 18 0 25 34 28 1030 20 0 23 33 29 560 29 0 28 37 30 1260 26 0 35 36 31 900 23 0 24 31 30 620 33 0 33 39 31 1440 26 0 28 39 29 1350 38 0 26 37 27 1170 23 0 26 36 27 1170 23 0 26 37 27 1170 26 0 28 40 32 1420 27 0 29 43 31 1475 27 0 28 37 28 1200 19 0 27 36 30 970 30 1 27 38 29 1190 27 0 28 39 28 1350 31 0 28 41 31 1460 29 0 22 32 27 570 23 1 22 32 25 620 35 0…headcirc length gestage birthwt momage toxemia 27 41 29 1360 37 0 29 40 31 1490 34 0 30 38 33 1490 32 0 28 38 31 1180 37 0 29 38 30 1200 29 1 23 32 25 680 19 0 22 33 27 620 20 1 26 38 29 1060 25 0 27 30 28 1320 27 0 25 34 29 830 32 1 23 32 26 880 26 0 26 39 30 1130 29 0 27 38 29 1140 24 0 27 39 29 1350 26 0 26 37 29 950 25 0 27 39 29 1220 25 0 26 38 29 980 28 0 29 42 33 1480 30 0 28 39 33 1250 31 1 27 38 29 1250 37 0 25 36 28 920 31 0 25 38 30 1020 21 0 24 34 27 750 21 0 31 42 33 1480 30 0 28 37 32 1140 23 0 23 32 28 670 33 1 26 36 29 1150 18 0 25 34 28 1030 20 0 23 33 29 560 29 0 28 37 30 1260 26 0 35 36 31 900 23 0 24 31 30 620 33 0 33 39 31 1440 26 0 28 39 29 1350 38 0 26 37 27 1170 23 0 26 36 27 1170 23 0 26 37 27 1170 26 0 28 40 32 1420 27 0 29 43 31 1475 27 0 28 37 28 1200 19 0 27 36 30 970 30 1 27 38 29 1190 27 0 28 39 28 1350 31 0 28 41 31 1460 29 0 22 32 27 570 23 1 22 32 25 620 35 0…Date DJIA S&P 500 Day 1 35405.24 4536.54 Day 2 35629.33 4579.38 Day 3 35111.16 4467.44 Day 4 35089.74 4510.53 Day 5 35091.13 4493.87 Day 6 35462.78 4511.54 Day 7 35768.06 4577.18 Day 8 35241.59 4514.08 Day 9 34738.06 4408.64 Day 10 34566.17 4411.67 Day 11 34988.84 4461.07 Day 12 34934.27 4485.01 Day 13 34312.03 4390.26 Day 14 34079.18 4358.87 Day 15 33596.61 4314.76 Day 16 33131.76 4235.50 Day 17 33223.83 4278.70 Day 18 34058.75 4394.65 Day 19 33892.60 4363.94 Day 20 33294.95 4316.26 Day 21 33891.35 4396.54 Day 22 33794.66 4353.49 Day 23 33614.80 4318.87 Day 24 32817.38 4211.09 Day 25 32632.64 4180.70 Day 26 33286.25 4287.88 Day 27 33174.07 4249.52 Day 28 32944.19 4194.31 Day 29 32945.24 4183.11 Day 30 33544.34 4252.45 Day 31 34063.10 4367.86 Day 32 34480.76 4421.67 Day 33 34754.93 4473.12 Day 34 34552.99 4471.18 Day 35 34807.46 4521.61 Day 36 34358.50 4466.24 Day 37 34707.94 4510.16 Day 38 34861.24 4553.06…
- Regular Coke Diet Coke Regular Pepsi Diet Pepsi 0.8192 0.7773 0.8258 0.7925 0.8150 0.7758 0.8156 0.7868 0.8163 0.7896 0.8211 0.7846 0.8211 0.7868 0.8170 0.7938 0.8181 0.7844 0.8216 0.7861 0.8247 0.7861 0.8302 0.7844 0.8062 0.7806 0.8192 0.7795 0.8128 0.7830 0.8192 0.7883 0.8172 0.7852 0.8271 0.7879 0.8110 0.7879 0.8251 0.7850 0.8251 0.7881 0.8227 0.7899 0.8264 0.7826 0.8256 0.7877 0.7901 0.7923 0.8139 0.7852 0.8244 0.7852 0.8260 0.7756 0.8073 0.7872 0.8227 0.7837 0.8079 0.7813 0.8388 0.7879 0.8044 0.7885 0.8260 0.7839 0.8170 0.7760 0.8317 0.7817 0.8161 0.7822 0.8247 0.7822 0.8194 0.7874 0.8200 0.7742 0.8189 0.7822 0.8172 0.7833 0.8194 0.7839 0.8227 0.7835 0.8176 0.7802 0.8244 0.7855 0.8284 0.7892 0.8244 0.7859 0.8165 0.7874 0.8319 0.7775 0.8143 0.7907 0.8247 0.7833 0.8229 0.7771 0.8214 0.7835 0.8150 0.7870 0.8291 0.7826 0.8152 0.7833 0.8227 0.7815 0.8244 0.7822 0.8211 0.7791 0.8207 0.7837…is there is a main effect of disposition, would Tuckey's HSD need to be calculatedSuppose we want to estimate the annual high temperatures of the hottest major cities in the United States. Below is data from 12 cities with the average annual temperature taken from 1971 to 2000 City Temperature (Fahrenheit) Phoenix, Arizona 87.2 Miami, Florida 84.3 Orlando, Florida 82.8 Riverside, California 80.9 Austin, Texas 79.8 Houston, Texas 79.7 San Antonio, Texas 80.3 Las Vegas, Nevada 80.1 Jacksonville, Florida 79.3 New Orleans, Louisiana 78.2 Tampa, Florida 81.7 Los Angeles, California 75.2 What's the population for this study? What's the sample for this study?
- 4. The number of passengers (in thousands) for the leading U.S. passenger airlines in 2004 is indicated below. 91,570 86,755 81,066 70,786 55,373 42,400 40,551 21,119 16,280 14,869 13,659 13,417 13,170 12,632 11,731 10,420 10,024 9,122 7,041 6,954 6,406 6,362 5,930 5,585 5,427• Use the data to construct a grouped frequency distribution and a cumulative frequency distribution with a reasonable number of classes and comment on the shape of the distribution using graph.Wages LOS 48.3355 94 49.0279 48 40.8817 102 36.5854 20 46.7596 60 59.5238 78 39.1304 45 39.2465 39 40.2037 20 38.1563 65 50.0905 76 46.9043 48 43.1894 61 60.5637 30 97.6801 70 48.5795 108 67.1551 61 38.7847 10 51.8926 68 51.8326 54 64.1026 24 54.9451 222 43.8095 58 43.3455 41 61.9893 153 40.0183 16 50.7143 43 48.84 96 34.3407 98 80.5861 150 33.7163 124 60.3792 60 48.84 7 38.5579 22 39.276 57 47.6564 78 44.6864 36 45.7875 83 65.6288 66 33.5775 47 41.2088 97 67.9096 228 43.0942 27 40.7 48 40.5748 7 39.6825 74 50.1742 204 54.9451 24 32.3822 13 51.713 30 55.8379 95 54.9451 104 70.2786 34 57.2344 184 54.1126 156 39.8687 25 27.4725 43 67.9584 36 44.9317 60 51.5612 102 This is the data given to usPetal length (in cm) of Iris virginica: x1; n1 = 36 5.0 5.6 6.1 6.1 5.1 5.5 5.3 5.5 6.9 5.0 4.9 6.0 4.8 6.1 5.6 5.1 5.6 4.8 5.4 5.1 5.1 5.9 5.2 5.7 5.4 4.5 6.4 5.3 5.5 6.7 5.7 4.9 4.8 5.7 5.3 5.3 Petal length (in cm) of Iris setosa: x2; n2 = 38 1.6 1.6 1.4 1.5 1.5 1.6 1.4 1.1 1.2 1.4 1.7 1.0 1.7 1.9 1.6 1.4 1.5 1.4 1.2 1.3 1.5 1.3 1.6 1.9 1.4 1.6 1.5 1.4 1.6 1.2 1.9 1.5 1.6 1.4 1.3 1.7 1.5 1.7 Let ?1 be the population mean for x1 and let ?2 be the population mean for x2. Find a 99% confidence interval for ?1 − ?2. (Round your answers to two decimal places.) lower limit: upper limit: Which distribution did you use? Why? A) The standard normal distribution was used because ?1 and ?2 are unknown. B) The Student's t-distribution was used because ?1 and ?2 are known. C) The Student's t-distribution was used because ?1 and ?2 are unknown. D) The standard normal distribution was used because ?1 and ?2 are known. Do you need information about the petal length…