This exercise calls on the data set "analgesics d". The data set contains the following variables: Gender: male or female Drug: which of three drugs was administered, A, B, or C Pain: the patient's level of pain, with a higher value representing greater pain. You first create a table showing the average level of pain for each drug/gender combination. Put "Gender" in the rows of the table and "Drug" in the Columns. After making observation on differences in the effectiveness of the three drugs based on your table, you decide to conduct a one-way ANOVA analysis to test whether the average level of pain differs by gender. Use a 5% significance level.
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- Male Female 28,429 21,890 14,798 23,569 5,443 6,800 26,258 16,895 26,723 10,669 6,907 14,890 23,016 13,017 19,009 17,690 25,050 14,742 21,192 20,420 10,338 14,333 10,465 14,395 14,010 16,864 20,648 23,820 19,856 4,245 63 19,225 21,420 23,626 11,319 17,292 20,356 15,343 17,492 13,514 16,299 28,660 21,793 10,057 7,288 18,481 7,960 5,205 25,062 9,611 10,186 17,995 13,921 13,983 12,942 21,676 11,655 22,780 19,207 11,796 12,895 33,935 7,911 9,825 20,749 11,633 17,120 10,489 12,477 30,066 13,810 20,778 17,041 18,452 11,364 20,982 20,462 21,013 10,940 15,980 13,828 17,134 5,741…3.273525429 3.725058267 3.193881287 3.380595777 3.849062312 2.688788698 4.521501366 2.876926464 3.202865171 3.760862809 3.648737967 3.155042169 3.047772295 2.331491399 2.43426651 3.316262576 3.33570391 3.123784316 1.983014564 4.026381813 2.819851735 3.020835161 3.963952045 3.434812572 2.530150764 3.501124236 2.723868073 3.734018756 3.07485433 2.945439985 2.963046282 3.301251136 3.806637216 2.495620331 2.99022362 2.548798319 2.849586988 3.554039618 3.565046584 3.383944772 2.895875003 3.96006813 3.744978387 4.034873151 3.394484477 4.637022161 3.085000083 3.945715143 2.590540526 3.593019815 Data from sheet 5Male Female27,329 22,49814,596 24,5893,890 5,06827,315 16,72525,067 10,3808,480 16,57219,490 10,75516,334 19,12228,183 11,82721,356 18,61212,674 15,73210,066 11,42311,288 17,79220,679 24,76719,722 6,359369 19,57118,284 21,81211,653 19,68618,981 18,29415,412 13,48515,839 31,24320,391 9,4316,069 16,1216,072 4,22624,527 12,6649,492 20,22511,618 14,59813,916 22,04613,081 20,08517,460 11,13913,491 35,7097,630 8,54121,263 9,82216,455 12,38511,590 28,05515,409 19,22816,827 16,21710,596 17,72618,005 20,00612,428 16,58313,727 19,8574,706 14,49917,168 17,97412,641 17,22015,661 28,75616,855 38,40718,490 25,78537,993 33,38319,196 25,06447,688 30,26225,062 18,14310,357 7,59515,653 23,8969,962 16,4425,377 16,53619,537 26,129
- 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…Company Competitor 1383 1153 2022 1067 2429 1296 901 1406 2219 1254 1896 1335 1910 1204 1539 1076 2048 1246 2881 1098 2395 1258 1349 955 2052 954 2675 1363 1588 1022 2704 1155 3148 1807 2822 1295 2217 1116 2260 1323 3040 1326 3137 1107 2977 1163 2599 1254 2412 1017 3187 938 2598 1270 2995 1042 3046 1318 3858 1497 2438 750 3243 1380 2764 1053 2944 932 3324 1097 2797 1193 3914 1271 2766 843 2273 780 3052 1095 3202 1290 3672 937 3957 1390 3274 1056 3788 1235 3502 1235 2942 999 3078 1066 3196 641 3141 1322 3579 1289 3895 1060 above is the excel data, please solve the excel part with formulas and explanation, thanksNORTH–SOUTH AIRLINE CASENorthern Airline DataAirframe CostEngine CostAverage AgeYearper Aircraftper Aircraft(Hours)200151.8043.496,512200254.9238.588,404200369.7051.4811,077200468.9058.7211,717200563.7245.4713,2752006 84.7350.2615,215200778.7479.6018,390Southeast Airline DataAirframe CostEngine CostAverage AgeYearPer Aircraftper Aircraft(Hours)200113.2918.865,107200225.1531.558,145200332.1840.437,360200431.7822.105,773200525.3419.697,150200632.7832.589,364200735.5638.078,2591. Develop Regression equations for each cost category as dependent variables and average age as independent variables. Do this for each Airline. Look at graphs produced by QM2. From the regression results, what would you conclude about a) airframe vs engine costs for each airlineb) comparing airlines as to airframe costsc) comparing airlines as to engine costsd) Provide a brief summary report of your comparisons
- 19 Males Females85 7877 9648 5760 6850 5562 8155 7876 8651 8864 5572 3760 6563 8680 7780 7863 6468 6398 7840 6283 6770 8462 8375 6870 7655 8466 8953 8779 9272 9066 9566 6897 9060 8064 8157 7459 5565 10171 7484 7858 79The annual salary for a sample of U.S. governors in 2017 are as follows: $120395, $177467, $130273, $139339, $177412, $99636, $150000, $159300, $123427, $108167, $149730, $110834, $105000, $142265, $148886, $98600, $106078, $109470, $160135, $175000, $150000, $105000. 1. Find the mean and the standard deviation for the sample of annual salaries. 2. What is the associated t - score for a 99% confidence level? 3. What is the margin of error for a confidence level of 99%? 4. Find a 99% confidence interval for the mean salary of U.S. governors in 2017. Assume the data is normally distributed.Sale Price 12400 10400 12100 10000 11000 8895 7675 9975 6350 10470 9895 11250 8795 12500 9340 10150 9200 9395 11000 10640 10000 7500 8000 10440 10200 10300 9740 9280 10930 8000 9000 7680 9400 10730 7350 12240 11970 8240 9910 10080 9440 8970 9500 10050 10130 11400 8500 7500 9090 10500 According to the National Automobile Dealers Association, the mean price for used cars is $10,192. A manager of a Kansas City used car dealership reviewed a sample of 50 recent used car sales at the dealership in an attempt to determine whether the population mean price for used cars at this particular dealership differed from the national mean. The prices for the sample of 50 cars are shown in the file named UsedCars. Formulate the hypotheses that can be used to determine whether a difference exists in the mean price for used cars at the dealership. What is the p-value? At , what is your conclusion?
- 31 Data: Red Blue Brown Green Yellow0.744 0.844 0.918 0.942 0.8680.813 0.726 0.743 0.798 0.7240.997 0.717 0.818 0.727 0.7540.927 0.882 0.994 0.842 0.9510.825 0.969 0.997 0.828 0.771 0.993 0.918 0.854 0.999 0.786 0.963 0.972 0.872 0.904 0.752Regular 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…Men Women 27,230 18,659 18,502 27,311 4,696 7,269 27,478 19,457 26,239 12,561 10,359 14,738 22,726 14,386 15,870 20,920 28,027 11,722 23,137 15,867 14,627 13,660 8,930 13,339 10,629 18,665 20,063 20,605 16,877 4,618 6,262 16,006 20,008 21,885 10,782 19,115 22,832 15,496 16,188 15,317 17,628 31,024 18,057 9,470 7,408 15,224 5,791 5,205 28,402 8,973 10,785 17,953 14,676 15,928 14,933 19,094 10,691 18,605 18,769 15,874 14,835 33,737 7,999 6,706 18,016 8,486 15,995 11,064 10,946 29,614 16,468 19,580 15,413 19,026 11,006 18,875 17,121 20,775 11,150 15,109 15,229 20,726 7,278…