Problems:1. Determine if there is significant difference among the costs of daily allowance received by thegroup of 5 students from 4 different year levels.StudentYear levelFreshmanSophomoreJuniorSenior1902075552408525603709550304100458053565502. Given:StudentPre-test ScoresPost-test Scores1848527886388894798358487Find: degree of relationship of the two variablesLeast-Square Regression Line Equation (LSRL) and predict the post-test score if the pre-test score is 75.3. Given:18 16 19 20 18 19 23 54 20 1618 19 18 19 18 40 30 19 18 38Find: mean, median, mode, Q1, D3, P654. Given:frequencyAge16-182019-211822-24825-274Find: mean, median, mode, Q1, D6, P125. Given: 50, 48, 46, 44, 42, ...........Find: common difference, 12th term, sum of the first 12 terms6075

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Answered: 4. Given: Age 16-18 frequency 20 18…

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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The file MidCity Download MidCitycontains data on 128 recent sales in Mid City. For each sale, the file shows the neighborhood (1, 2, or 3) in which the house is located, the number of offers made on the house, the square footage, whether the house is made primarily of brick, the number of bathrooms, the number of bedrooms, and the selling price. Neighborhoods 1 and 2 are more traditional neighborhoods, whereas neighborhood 3 is a newer, more prestigious neighborhood. PROBLEM 1: Construct 3 different confidence intervals. Part A) Sort and filter the data from the MidCity file so that you only consider the data from neighborhood 1. Construct a 99% confidence interval for the square footage of all homes in neighborhood 1. Make sure you list the specific equations you are using, ALL variables, show ALL work etc., in your report. You can use Excel to complete all computations. Remember to interpret these confidence intervals in the context of this problem. Use one Excel spreadsheet…
21) Companies that carry a high level of fixed costs relative to variable costs are considered to have a greater risk than companies with a high level of variable costs relative to fixed costs. a lesser risk than companies with a high level of variable costs relative to fixed costs. a greater amount of period costs than product costs. either a greater amount of product costs than period costs.
Dave Fletcher, the general manager of North Carolina Engineering Corporation (NCEC), thinks that his firm’s engineer-ing services contracted to highway construction firms are directly related to the volume of highway construction business contractedwith companies in his geographic area. He wonders if this is reallyso, and if it is, can this information help him plan his operationsbetter by forecasting the quantity of his engineering servicesrequired by construction firms in each quarter of the year? Thefollowing table presents the sales of his services and total amountsof contracts for highway construction over the past eight quarters: a) Using this data, develop a regression equation for predictingthe level of demand of NCEC’s services. b) Determine the coefficient of correlation and the standard errorof the estimate.
If the daily availability of M1 and M2 are 30 tonnes and 12 tonnes respectively in the Reddy Mikks problem, what would be their shadow prices?
Problem IIPSuppose that for a recent admissions class, an Ivy League college received 2,851 applications for early admission. Of this group, it admitted 1,033 students early rejected 854 outright, and deferred 964 to the regular admission pool for further consideration. In the past, this school has admitted 18% of the deferred early admission applicants during the regular admission process. Counting the students admitted early and the students admitted during the regular admission process, the total class size was 2,375. Let E, R, and D represent the events that a student who applies for early admission is admitted early, rejected outright, or deferred to the regular admissions pool.Problem 12P Problem 13P Problem 14P Problem 15P Problem 16P Problem 17Pa. Use the data to estimate P(E), P(R), and P{D).b. Are events fand D mutually exclusive? Find P (E n D).c. For the 2,375 students who were admitted, what is the probability that a randomly selected student was accepted during early…
Consider again the scenario described in Problem 4. The Center for Business Analytics is considering a refund policy for no-shows. No refund would be given for members who do not attend, but nonmembers who do not attend will be refunded 50 percent of the price. Extend the model you developed in Problem 4 for the Business Intelligence Symposium to account for the fact that, historically, 25 percent of members who registered do not show and 10 percent of registered nonmembers do not attend. The Center pays the caterer for breakfast and lunch based on the number of registrants (not the number of attendees). However, the Center pays for parking only for those who attend.What is the profit if each corporate member registers their full allotment of tickets and 127 nonmembers register? Use a two-way data table to show how profit changes as a function of number of registered nonmembers and the no-show percentage of nonmembers. Vary the number of nonmember registrants from 80 to 160 in…

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4. Given: Age 16-18 frequency 20 18 19-21 22-24 8 25-27 4 Find: mean, median, mode, Q1, D6, P12