|8 || the mean and standard deviation for this sample: (ii) Analysts wish to use this data to construct a 99% confidence inter APM. Determine the margin of error for this interval. E- SUBMIT QUESTION (iii) Based on part (ii), what are the limits of this confidence interval? OAD WORK
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- find the mean of the number of spots that appear when a die is tossedA 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.)ID Cost of Airfares in the US (domestic) 1 146 2 620 3 79 4 299 5 576 6 89 7 589 8 165 9 509 10 23 11 376 12 226 13 462 14 634 15 36 16 226 17 263 18 456 19 390 20 541 21 19 22 329 23 537 24 512 25 423 26 515 27 358 28 110 29 319 30 671 31 561 32 96 33 574 34 385 35 263 36 240 37 449 38 592 39 404 40 119 41 173 42 419 43 495 44 224 45 228 46 616 47 168 48 396 49 524 Normal Distribution Airfares (as shown in the Excel file for this week’s seminar) were based on the total ticket value, which consisted of the price charged by the airlines plus any additional taxes and fees. The prices follow normal distribution. Use Excel to plot the density of the prices; You can either use pen and paper or Excel for question 2-5. Please use the z score formula to calculate the question 2-5. What is the probability that a domestic airfare is $550 or more? What is the probability that a…
- ID Cost of Airfares in the US (domestic) 1 146 2 620 3 79 4 299 5 576 6 89 7 589 8 165 9 509 10 23 11 376 12 226 13 462 14 634 15 36 16 226 17 263 18 456 19 390 20 541 21 19 22 329 23 537 24 512 25 423 26 515 27 358 28 110 29 319 30 671 31 561 32 96 33 574 34 385 35 263 36 240 37 449 38 592 39 404 40 119 41 173 42 419 43 495 44 224 45 228 46 616 47 168 48 396 49 524 Airfares (as shown in the Excel file for this week’s seminar) were based on the total ticket value, which consisted of the price charged by the airlines plus any additional taxes and fees. The prices follow normal distribution. Use Excel to plot the density of the prices; You can either use pen and paper or Excel for question 2-5. Please use the z score formula to calculate the question 2-5. What is the probability that a domestic airfare is $550 or more? What is the probability that a…Find hypotonuseID Cost of Airfares in the US (domestic) 1 146 2 620 3 79 4 299 5 576 6 89 7 589 8 165 9 509 10 23 11 376 12 226 13 462 14 634 15 36 16 226 17 263 18 456 19 390 20 541 21 19 22 329 23 537 24 512 25 423 26 515 27 358 28 110 29 319 30 671 31 561 32 96 33 574 34 385 35 263 36 240 37 449 38 592 39 404 40 119 41 173 42 419 43 495 44 224 45 228 46 616 47 168 48 396 49 524 What if the probability that a domestic airfare is between $300 and $400? What is the cost for the 3% highest domestic airfares? Use Excel functions Dist and Norm.INV to check your answers in Question 2-5.
- 1001110011100012 + 1000100102 + 100111000102 + 10000001112 + 10111101001002 = %3D 16anova in excelQ5\Data recorded in table below by observing the activity of a single customer line during an eight-hour period from 9:00 A.M. to 5:00 P.M. Find the traffic intensity during the eight-hour period, and during busy hour (which occurs between 4:00 P.M. and 5:00 P.M.). Call no. Call started Call ended Call duration (min.) 3.0 1 9:15 9:18 2 9:31 9:41 10.0 3 10:17 10:24 4 10:24 10:34 5 10:37 10:42 6 10:55 11:00 7 12:01 12:02 8 2:09 2:14 9 3:15 3:30 10 4:01 4:35 11 4:38 4:43 7.0 10.0 5.0 5.0 1.0 5.0 15.0 34.0 5.0