75706560555555515045403559636062664356 5660697364465070757063.26555606052.7555515047Franklin RooseveltFranklin RooseveltFranklin RooseveltFranklin RooseveltHarry TrumanDwight EisenhowerDwight EisenhowerJohn F. KennedyLyndon JohnsonRichard NixonRichard NixonJimmy CarterRonald ReaganRonald ReaganGeorge H.W. BushBill ClintonBill ClintonGeorge W. BushGeorge W. BushBarack ObamaBarack ObamaDonald Trump1932 1936 1940 1944 1948 1952 1956 1960 1964 1963 1972 1975 1980 1984 1983 1992 1996 2000 2004 2008 2012Democratic nominees who winRepublican nominees who win20161932 - 2016If I wanted to test if there is a statistically significant difference betweenthe average age of Democratic vs Republican presidents. Which testshould I use?O One Sample t-test, one-tailO Independent Samples t-test, one tailedO Independent Samples t-test, two tailedO One Sample t-test, two-tail454035

The objective is to determine the appropriate test for validating significant differences between…

Answered: 75 70 65 60 55 55 55 51 50 45 40 35 59…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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495745947949979437 x 7826736386487342622 - 1000000 x 634634662354 + 8766348764410939824383658 x 8483 + 636536425195805057509 + 64658659875963
Sale Price 9950 6536 11554 10049 11542 9339 11022 9858 6863 10912 12028 7661 10783 8959 6602 10123 10234 7104 8970 8490 9682 8208 9496 8352 12003 12260 12824 9733 10592 12232 13010 11725 6700 13104 11166 12684 12293 8152 7110 11255 8361 11550 9871 6634 11298 7594 6258 9413 10991 9304
0.7200.7400.6400.3900.7002.2001.9800.6401.2200.2001.6401.3402.9500.9001.7601.0101.2600.0000.6501.4601.6201.8300.9901.5600.4101.2800.8301.3200.5401.2500.9201.0000.7800.7901.4401.0002.2402.5001.7901.2501.4900.8401.4201.0001.2501.4201.3500.9300.4001.390 The accompanying data table lists the magnitudes of 50 earthquakes measured on the Richter scale. Test the claim that the population of earthquakes has a mean magnitude greater than 1.00. Use a 0.01significance level. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, and conclusion for the test. Assume this is a simple random sample the sample data is above. What are the hypotheses? A. H0: μ=1.00 in magnitude H1: μ≠1.00 in magnitude B. H0: μ=1.00 in magnitude H1: μ<1.00 in magnitude C. H0: μ=1.00 in magnitude H1: μ>1.00 in magnitude D. H0: μ≠1.00 in magnitude H1: μ=1.00 in magnitude Identify the test statistic. t= (Round to two decimal places as…
40 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 127
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…
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 0.752
Price Age Mileage13590 6 6148513775 6 5434422991 1 824615303 4 2485616388 3 2210016600 3 2370216987 4 4740118489 2 1688818859 3 3538019857 3 2963411877 9 5579214989 3 4618315900 3 3700916500 4 455219440 9 8690212988 5 7724115777 6 5964710490 9 932418938 10 4822111988 8 42408 The accompanying table shows a portion of data consisting of the price, the age, and the mileage for 20 used sedans. Price Age Mileage 13590 6 61485 13775 6 54344 ⋮ ⋮ ⋮ 11988 8 42408 Determine the sample regression equation that enables us to predict the price of a sedan on the basis of its age and mileage. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) [If you are using R to obtain the output, then first enter the following command at the prompt: options(scipen=10). This will ensure that the output is not in scientific…
63836282637x83628363296/836384638363863+93733946384747/9x9374
68 Sample data:0.7100.7400.6400.3900.7002.2001.9800.6401.2200.2001.6401.3302.9500.9001.7601.0101.2600.0000.6501.4601.6201.8300.9901.5600.4101.2800.8301.3400.5401.2500.9201.0000.7800.7901.4401.0002.2402.5001.7901.2501.4900.8401.4201.0001.2501.4201.3500.9300.4001.390
Monthly Sales 6267.19 7058.06 7119.5 7147.18 7198.52 7298.09 7325.7 7335.68 7355.97 7481.05 7490.23 7530.08 7616.09 7682.69 7684.14 7704.12 7704.98 7779.28 7798.23 7815.15 7844.16 7890.21 7977.6 7993.16 8021.03 8028.37 8068.86 8082.42 8096.17 8119.25 8129.21 8190.68 8255.28 8282.44 8376.31 8392.4 8400.95 8451.16 8456.66 8505.35 8539.25 8543.65 8573.05 8641.78 8667.48 8751.08 8777.97 8800.08 8888.65 8907.03 9096.87 9241.74 9411.68 9450.73 9484.62 9514.57 9521.4 9524.91 9733.44 10123.24 If you view the company’s performance record as a representative sample of its overall sales performance, and considering what you know about normal distribution, what is the dollar value for the lowest 25th percentile?
Monthly Sales 6267.19 7058.06 7119.5 7147.18 7198.52 7298.09 7325.7 7335.68 7355.97 7481.05 7490.23 7530.08 7616.09 7682.69 7684.14 7704.12 7704.98 7779.28 7798.23 7815.15 7844.16 7890.21 7977.6 7993.16 8021.03 8028.37 8068.86 8082.42 8096.17 8119.25 8129.21 8190.68 8255.28 8282.44 8376.31 8392.4 8400.95 8451.16 8456.66 8505.35 8539.25 8543.65 8573.05 8641.78 8667.48 8751.08 8777.97 8800.08 8888.65 8907.03 9096.87 9241.74 9411.68 9450.73 9484.62 9514.57 9521.4 9524.91 9733.44 10123.24 Given the company’s performance record and based on the empirical rule of normal distribution (also known as the 68%-95%-99.7% rule), what would be the lower bound of the range of sales values that contains 68% of the monthly sales? What would be the upper bound of the range of sales values that contains 68% of the monthly sales?
Restaurant 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.

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