AaBbAaBbCcDdlHeading 1Heading 2NormalTitleNo SpacingCompanyActualEstimated0.382.31AT&T1.29American ExpressCitigroupCoca-ColaDupontExxon-MobilGeneral ElectricJohnson & JohnsonMcDonald'sWal-Mart2.012.591.603.431.782.181.842.191.712.721.512.282.180.771.551.811.74Total18.4219.45Difference: 1.03Use a level of significance of .05 and test for any difference between the population mean actualand population mean predicted earnings per share. What is the p-value? What isa.yourconclusion?What is the point estimate of the difference between the two means? Did the analysts tend tounderestimate or over estimate the earnings?b.At 95% confidence, what is the margin of error for the estimate in part b? What would yourecommend based on this information?8.English (United States)Focus26IGMacBook Air20F3F2F4F5F6F7F8F9F10F1123&48.9.

a. The null and the alternative hypothesis are, H0: μ1−μ2 = 0 (The mean actual and estimated…

Answered: AaBb AaBbCcDdl Heading 1 Heading 2…

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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urgent pleqase
Statistics Question
Mag Depth 2.96 19.9 2.73 6.5 1.46 3.5 0.85 13.3 2.95 19.9 1.63 8.7 1.92 18.4 1.12 7.9 2.59 3.1 1.68 9.4 0.14 6.2 2.43 17.7 0.04 18.4 1.03 9.8 2.89 12.4 0.54 9.5 0.77 2.1 1.87 8.1 2.72 17.3 0.84 9.9 1.48 12.7 0.68 7.1 1.83 17.1 1.89 3.4 0.94 13.8 2.24 5.7 0.94 16.7 1.36 5.2 0.98 6.6 0.51 12.5 2.69 14.1 1.73 12.5 2.29 12.7 1.63 14.7 0.52 18.6 2.75 4.5 2.31 10.5 1.39 13.3 2.05 10.5 0.63 5.7 1.15 3.6 1.59 2.9 2.92 11.3 0.33 6.4 2.78 9.2 1.43 4.8 0.82 4.8 0.21 13.6 1.77 12.3 0.68 4.9 1) Check Image 2) Given that the earthquake has a magnitude of 1.1, the best predicted depth is km. (Round to one decimal place as needed.)
State Sales Tax Rate* Alabama Alaska Arizona 4% 0% Hawaii Idaho 6.6% Illinois Florida Georgia Arkansas California 7.25% Iowa Colorado 6% Indiana 4% Massachusetts 6.25% 6% Michigan 6% Minnesota 61% 7% Mississippi 6% Missouri Montana 2.9% Kansas 6.3% Connecticut 6% Kentucky 6% Delaware 0% Louisiana 4% 6% Maine 4% Maryland 5% 6% Nebraska Nevada New Hampshire New Jersey 6.875% 7% 4.225% 0% 5.5% 6.85% 0% New Mexico New York North Dakota North Carolina 5.75% Ohio Oklahoma Oregon Pennsylvania Rhode Island 5.125% 7% South Carolina 4% 5% 5.5% 4.5% 0% 6% 7% 6% South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming 4% 7% 6.25% 4.7% 6% 4% 6.5% 6% 5% 4%
Wins Attendance (In Millions) 65 2.06 91 2.51 66 1.73 89 3.05 75 3.06 88 2.19 91 2.06 69 1.39 83 2.88 81 2.46 80 1.54 76 2.33 67 1.62 80 3.25 80 3.56 77 2.78 94 3.22 79 2.56 95 3.77 81 1.42 97 3.65 57 1.61 90 2.13 92 3.04 61 2.09 86 3.3 96 1.84 90 2.51 85 1.63 69 1.83 Draw a scatter diagram depicting the correlation between the two variables. Determine the correlation coefficient between the two variables using Excel. Present a regression output between a dependent and one independent variable. Obtain estimated coefficients and R-squared and interpret them. Write a short report on the findings.
The accompanying table gives amounts of arsenic in samples of brown rice from three different states. The amounts are in micrograms of arsenic and all samples have the same serving size. The data are from the Food and Drug Administration. Use a 0.05 significance level to test the claim that the three samples are from populations with the same mean. Do the amounts of arsenic appear to be different in the different states? Given that the amounts of arsenic in the samples from Texas have the highest mean, can we conclude that brown rice from Texas poses the greatest health problem? Click the icon to view the data. What are the hypotheses for this test? OA. Ho: H₁ H₂ H3 H₁: H₁ H₂ H3 OB. Ho: H₁ H₂ H3 H₁ H₁ H₂ H3 O C. Ho: At least one of the means is different from the others H₁: H₁ H₂ H3 O D. Ho: H₁ H₂=H3 H₁: At least one of the means is different from the others Determine the test statistic. The test statistic is (Round to two decimal places as needed.) Determine the P-value. The P-value…
Hotel Overall Comfort Amenities In-House Dining Muri Beach Odyssey 94.3 94.5 90.8 97.7 Pattaya Resort 92.9 96.6 84.1 96.6 Sojourner’s Respite 92.8 99.9 100.0 88.4 Spa Carribe 91.2 88.5 94.7 97.0 Penang Resort and Spa 90.4 95.0 87.8 91.1 Mokihana Hōkele 90.2 92.4 82.0 98.7 Theo’s of Cape Town 90.1 95.9 86.2 91.9 Cap d’Agde Resort 89.8 92.5 92.5 88.8 Spirit of Mykonos 89.3 94.6 85.8 90.7 Turismo del Mar 89.1 90.5 83.2 90.4 Hotel Iguana 89.1 90.8 81.9 88.5 Sidi Abdel Rahman Palace 89.0 93.0 93.0 89.6 Sainte-Maxime Quarters 88.6 92.5 78.2 91.2 Rotorua Inn 87.1 93.0 91.6 73.5 Club Lapu-Lapu 87.1 90.9 74.9 89.6 Terracina Retreat 86.5 94.3 78.0 91.5 Hacienda Punta Barco 86.1 95.4 77.3 90.8 Rendezvous Kolocep 86.0 94.8 76.4 91.4 Cabo de Gata Vista 86.0 92.0 72.2 89.2 Sanya Deluxe 85.1 93.4 77.3 91.8
A researcher hypothesizes that ambient air carbon monoxide pollution levels at a certain location should be higher in the winter than they are in the summer. The reasoning behind this hypothesis is that a major source of carbon monoxide in the air is from the incomplete combustion of fuels, and fuels tend to burn less efficiently at low temperatures. Moreover, it is felt that the stagnant winter air is more likely to trap the pollution. In order to investigate this hypothesis, the data set in DS 9.7.12 is collected which shows the ambient air carbon monoxide pollution levels (parts per million) for ten Sunday mornings in the middle of winter and ten Sunday mornings in the middle of summer.
First Die 4 6. 1 3 4 6. 7 3 4 5. 6. 7. 8. 4 5. 6. 7 8. 9. 4 6. 7. 8. 9. 10 5 6. 8 6. 10 11 8. 9. 10 11 12 419 t in 47 Second Die
your car is more crowded than you think. table 5.8 reports results from a 1969 personal transportation survey on "home-to-work" trips in metropolitan areas. The survey stated that the average car occupancy was 1.4 people. check that calculation.

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