Based on the 2 groups given, determine the standard error, t statistic and critical t value(s).
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- Forming an Experimental Group To conduct an experiment, researchers randomly select five students from a class of 20. How many different groups of five students are possible?Actress Actor24 4043 4449 3263 5240 49 61 3622 5535 4141 3835 2930 3825 4233 5222 4446 3933 3945 6041 3927 4825 4027 5231 4780 3228 4154 5133 4261 4538 4335 6239 4532 4139 3521 6244 4433 3836 6028 4326 3435 4535 3737 4141 4150 5329 5030 4937 4933 3627 4138 3742 4260 5924 3531 3632 5025 5634 4334 6026 3429 4741 4354 3329 4232 3030 3729 3260 4245 3828 6228 4438 4562 3935 5742 56Restaurant X Restaurant Y89 101121 125116 153143 117270 171183 134122 114151 122158 127210 129335 137305 140181 227116 216161 291152 12595 95238 136243 242189 146155 148196 201168 149123 14262 141198 143182 154117 139139 169169 138185 244198 234236 248192 237352 234304 165213 85192 110183 58184 172107 79143 147175 138157 99173 131155 150170 127127 185136 145306 132 Refer to the accompanying data set of mean drive-through service times at dinner in seconds at two fast food restaurants. Construct a 95% confidence interval estimate of the mean drive-through service time for Restaurant X at dinner; then do the same for Restaurant Y. Compare the results. Construct a 95% confidence interval of the mean drive-through service times at dinner for Restaurant X.
- A realty company wants to create a linear model that will estimate the selling price of homes as a function of family. There is particular concern for obtaining the most efficient estimate of the relationship between income and house price. The company has collected data on their sales experience over the past years, and the data are contained in the attached table. Complete parts a though d below. Click the icon to view the data. Click the icon to view the upper critical values of the chi-square distribution. a. Estimate the regression of house price on family income. House Price = +2.35 (Family Income) (Round to two decimal places as needed.)Weight City MPG 3968 20 3583 22 3470 22 3527 23 3990 18 4724 17 3692 21 3315 22 3616 20 5527 14 3719 16 3097 26 3800 19 3532 25 2269 31 5674 15 3402 20 4029 19 3996 19 3242 23 2434 31 2575 29 2960 27 3618 15 4054 19 3192 24 3305 23 3605 19 4240 15 3933 18 3633 19 3790 17 3477 20 3258 21 4685 17 2776 25 2615 24 3186 21 5137 13 3461 21 4233 16 4178 18 4702 17 3713 22 5794 14 2306 28 3194 26 3428 22 4894 12 4751 17 2605 29 3296 25 5267 13 2789 25 3570 19 4011 18 2363 27 4398 15 2806 25 2127 36 2665 27 3419 24 3427 24 3280 25 5765 13 3465 24 2295 30 3038 22 3070 25 4711 17 3230 24 3528 21 4667 16 SUMMARY OUTPUT Regression Statistics Multiple R 0.894328844 R Square 0.799824082 Adjusted R Square 0.797004703 Standard Error 2.238112689…Male Female27,339 21,87717,275 24,5265,486 3,76626,029 19,31524,462 10,8459,737 14,52820,421 10,37215,731 19,46325,976 15,37120,206 20,36910,213 16,59110,139 13,46014,390 16,74020,805 23,14917,274 7,664172 16,82721,380 21,34511,913 18,76320,056 17,55817,528 12,80815,323 30,79720,176 6,5568,077 16,4957,776 6,08626,763 10,40511,715 16,45213,744 12,32313,649 21,29715,260 20,53719,988 12,13911,965 34,53210,256 6,94120,236 12,46715,354 12,35310,163 28,70514,018 20,36314,632 17,18511,264 18,94118,738 20,82110,828 17,28014,975 20,2664,354 12,24519,289 16,49814,250 14,62214,643 27,54515,123 37,09420,579 24,12636,425 35,45415,793 22,50046,202 33,10826,215 18,09310,750 6,38813,819 24,87911,532 14,4617,057 14,14420,223 29,800
- Violence against women 2009 In its study When MenMurder Women: An Analysis of 2009 Homicide Data,2011, the Violence Policy Center (www.vpc.org) reportedthat 1818 women were murdered by men in 2009. Ofthese victims, a weapon could be identified for 1654 ofthem. Of those for whom a weapon could be identified,861 were killed by guns, 364 by knives or other cuttinginstruments, 214 by other weapons, and 215 by personalattack (battery, strangulation, etc.). The FBI’s UniformCrime Report says that, among all murders nationwide,the weapon use rates were as follows: guns 63.4%, knives13.1%, other weapons 16.8%, personal attack 6.7%. Isthere evidence that violence against women involvesdifferent weapons than other violent attacks in theUnited States?A statistics professor would like to build a model relating student scores on the first test to the scores on the second test. The test scores from a random sample of 2121 students who have previously taken the course are given in the table. Test Scores Student First Test Grade Second Test Grade 1 8989 7777 2 6060 7373 3 5252 6767 4 4444 6262 5 7474 7373 6 6969 7171 7 4343 6363 8 8080 7878 9 4747 6161 10 7676 7878 11 6565 7575 12 8989 7878 13 7878 7777 14 9696 8181 15 5252 6161 16 9393 8585 17 9090 8080 18 6767 6969 19 4343 6060 20 4848 6161 21 4646 6161 Copy Data Step 1 of 2: Using statistical software, estimate the parameters of the model Second Test Grade=β0+β1(First Test Grade)+εiSecond Test Grade=β0+β1(First Test Grade)+εi. Enter a negative estimate as a negative number in the regression model. Round your answers to 4 decimal places, if necessary.Use the accompanying paired data consisting of registered boats (tens of thousands) and manatee fatalities from boat encounters. Let x represent the number of registered boats and let y represent the corresponding number of manatee deaths. Use the given number of registered boats and the given confidence level to construct a prediction interval estimate of manatee deaths. Use x = 84 (for 840,000 registered boats) with a 99% confidence level. Click the icon to view the boats and manatee data. Find the indicated prediction interval. manatees40 Numbers: Restaurant X Restaurant Y81 102123 129123 154147 112266 173178 134125 106157 120157 131212 123336 134311 132175 229111 213160 294145 12993 90234 137237 245185 145157 144202 199173 151117 14268 135198 146179 156112 136138 165173 138187 245194 232236 252190 236347 237304 171212 82200 110182 51184 174102 82145 145172 143156 101171 123159 146164 127128 182131 149309 127128 patients with advanced lung cancer were followed until death. The four "cell" types of lung cancer of the patients were adeno, large, small, and squamous. Time to death (days) is displayed on the following boxplots. Lung Cancer Time to Death Data (128 Patients) time to death (days) 1000- 900- 800- 600- 500- 400- 300- 200- 100- 0- Nebs Mean Sid 42365 Adeno 1654 12644 45 #267 KLOT Soull Cell Type of Cancer 21 21134 2014 Squamous For the small cell lung cancer patients, which is larger, the mean or the median-or can it not be determined? The mean is larger The median is larger O We cannot determine which is larger based on the graphAnswer this questionSEE MORE QUESTIONS
