/Example 13-2. (a) Given the following ultimate class frequencies, find the frequencies ofpósitive class.(АВ) %3D 149(АВС) %3D 225,(«By) %3D 1,762, (аBС) %3D 171(АBY) %3D738,(ABY) = 1,196and (aBy) = 21,842(aBC) = 204,(b) Find the remaining class frequencies, given the follwoing data :N = 23,713,(A) = 1,618,(B) = 2,015,(C) = 770%3D%3D%3D(AB) = 587,(AC) = 428(ВC) 3 335(АВC) %3D156%3D

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Answered: he following ultimate class…

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 20 scores below were recorded from a math test: 75, 64, 82, 68, 75, 73, 68, 78, 80, 97, 85, 68, 62, 52, 77, 85, 90, 83, 68, 82 Part A) Use the 20 math scores to neatly contruct a frequency distribution. Use 3 columns, one for class limits, one for frequency, and one for relative frequency (Please use percent only). Use 5 classes of teh same width starting with 50-59.
From previous studies, it is concluded that 90% of phone numbers in a certain city are unlisted. A researcher claims that the proportion is smaller than 90% and decides to survey 800 working adults. Test the researcher's claim at the a = 0.01 significance level. Preliminary: a. Is it safe to assume that n 10. Round your answer to one decimal place. пр(1 — р) %3 Test the claim: a. The null and alternative hypotheses are OHọ: u = 0.9 Ha:µ + 0.9 Но: и 0.9 O Ho:p 2 0.9 Ha:p 0.9 Ha:µ 0.9 b. The test is Select an answer c. Based on the sample of 800 people, 81% phone numbers in a certain city are unlisted. What is the test statistic? Round your answer to two decimal places. ? V d. What is the p-value? Round your answer to four decimal places. e. Make a decision. Do not reject the null hypothesis. Reject the null hypothesis. f. Make a conclusion. O There is sufficient evidence that the proportion of people who phone numbers in a certain city are unlisted is smaller than 90% at the a =…
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Suppose Table 3b gives us the IQ range and the possible occupation/employment, find out what percentage of student applicants in Table 3c will fall into each IQ range. Table 3b: IQ range and Occupation/employment Occupation and Employment IQ Range 90-100 Laborers, Gardeners, Upholsterers, Farmhands, Miners, Factory Packers and Sorters, Warehouse workers, Carpenters, Cooks and Bakers, Farmers and Truck Drivers 101 111 Machinists, Shopkeepers, Butchers, Welders, and Sheet Metal Workers 112-122 Foremen, Clerks, Telephone Operators, Salesmen, Police officers and Electricians 123-133 School Teachers, Pharmacists, Accountants, Nurses, Stenographers and Managers 134-144 Doctors and Surgeons, Lawyers and Engineers 145 & abor Top Civil Servants, Professors and Research Scientists Table 3c: The IQ scores of 70 student applicants in a certain college: Table 3cc: IQ Range freq%[0.0000] 132 128 106 96 104 99 115 112 90 95 127 113 103 96 101 104 90 127 103 106 122 109 113 109 100 101 135 123 96 96…
Question-based on, "area of sectors". Also, how to find the area of the sector too... I have tried it but both answers are incorrect.
How would I be able to sketch this if there are so many numbers? Please explain in detail! Thank you :)
rrom the following ultimate class frequencies of the positive and negative classes and the total number of observations : (AB) = 100 , (aB) = 80 , (AB) = 50 , (aß) = 40.
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Groups: 1= 5-25, 2 = 26-59, 3 = 60-92 Which of the following statements is true of Group 3’s mean FIQ score? Group of answer choices: 1. Group 3’s mean FIQ score is not different from Group 1’s mean FIQ score 2. Group 3’s mean FIQ score is lower than Group 2’s mean FIQ score 3. Group 3’s mean FIQ score is higher than the mean FIQ scores for Groups 1 and 2 4. Group 3’s mean FIQ score is lower than the mean FIQ scores for Groups 1 and 2 5. Group 3’s mean FIQ score is not different than the mean FIQ scores for Groups 1 and 2
The following data show the of number of shoes (in 1000 units) sold by a new shoe manufacturing company in the 8 consecutive months of 2020: Month # Sold Month # Sold --------------------------------------------------------------------- January 8.42 | May 11.14 February 9.67 | June 10.61 March 10.42 | July 12.50 April 10.90 | August 12.82 Hand Estimate a linear trend model for the monthly sales of the company. Predict the number of shoes sold in September and October.

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