0.96QUESTION 8Given that an individual is age 65 years and over, find the probability that the person does not have a disability5. Disability Status of the Civilian Noninstitutionalized PopulationCharacteristic# of peopleDISABILITY STATUS OF THE CIVILIAN NONINSTITUTIONALIZED POPULATIONTotal Civilian Noninstitutionalized PopulationWith a disability316,027,64139,792,082Under 18 yearsWith a disability73,463,8593,054,55918 to 64 yearsWith a disability196,138,79920,276, 19965 years and overWith a disabllity46,424,98316,461,324Save All AnswersClick Saue and Submit to save ard submit. Click Save All Answers to save all ansuers.11 FO O99+ere to search

Answered: Characteristic # of people DISABILITY…

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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What is mean? What is median ? What is mode? 20 16 23 16 33 19 24 32 22 35 22 21 25 39 21 15 18 30 22 41 33 26 18 21 21 20 31 26 18 37 19 20 17 24 20 23 27 43 40 14 17 42 22 24 37 25 20 39 40 22 19 20 29 41 35 23 29 43 24 36 17 20 34 17 26 28 34 29 35 19 18 30 23 21 37 25 37 14 29 28 35 28 39 29 28 39 25 39 42 40 33 35 18 25 24 34 17 19 23 15 35 21
Starting Teachers' Salaries Starting teacher salaries for upper secondary education in selected states are listed below. Average salaries 40,576 Starting salaries Mississippi 28,200 Mississippi Idaho 27,500 Idaho 41,150 Kansas 27,840 Kansas 41,467 Maine 26,643 Maine 40,737 Iowa 27,284 Iowa 41,083 New Mexico 33,730 New Mexico 41,637 Tennessee 32,369 Tennessee 42,537 Texas 33,775 Texas 41,744 Kentucky 30,619 Kentucky 42,592 Send data to Excel
1) Country Population Cases, total Deaths, total China 1,439,323,776 93,329 4,750 India 1,380,004,385 9,392,919 136,696 USA 331,002,651 12,939,666 262,736 Indonesia 273,523,615 527,999 16,646 Pakistan 220,892,340 392,356 7,942 Brazil 212,559,417 6,238,350 171,974 Nigeria 206,139,589 67,330 1,171 Bangladesh 164,689,383 460,619 6,580 Russia 145,934,462 2,269,316 39,527 Mexico 128,932,753 1,090,675 104,873 Japan 126,476,461 144,653 2,106 Ethiopia 114,963,588 108,930 1,695 Philippines 109,581,078 427,797 8,333 Egypt 102,334,404 115,183…
Adela Noriegam, a researcher wants to determine how employee salaries at a certain company are related to the length of employment, previous experience, and education. The researcher selects eight employees from the company and obtains the following data: Employee Salary,y Employment (in yrs), x1 Employment (in yrs), x2 Employment (in yrs), x3 A 57310 10 2 16 B 57380 5 6 16 C 54135 4 1 12 D 56985 6 5 14 E 58715 8 8 16 F 60000 20 0 12 G 59400 9 4 18 H 60720 15 7 17 What is the regression equation? Leave your answer in 2 decimal places Y = ()+() +() +
Write a short note on interview Methods
Consider that we are interested in computing the time weighted average number of cars parked in the parking garage on a Sunday in December. We start at midnight and collect the entry and exit times of cars in the garage until the following midnight as follows. Entry 12:45:00 AM Entry 1:00:00 AM Entry 3:30:00 AM Exit 5:15:00 AM Entry 7:00:00 AM Entry 8:15:00 AM Exit 8:45:00 AM Entry 10:00:00 AM Exit 10:30:00 AM Entry 2:30:00 PM Exit 4:15:00 PM Entry 6:00:00 PM Exit 7:45:00 PM Entry 9:30:00 PM Exit 11:15:00 PM What was the time weight average number of cars parked in the parking garage on that Sunday?
How many do not have a joint service marriage? There are_____that do not have a joint service marriage.
3. A particular report included the following table classifying 815 fatal bicycle accidents that occurred in a certain year according to the time of day the accident occurred. Time of Day Number of Accidents midnight to 3 a.m. 46 3 a.m. to 6 a.m. 52 6 a.m. to 9 a.m. 85 9 a.m. to noon 72 noon to 3 p.m. 76 3 p.m. to 6 p.m. 157 6 p.m. to 9 p.m. 192 9 p.m. to midnight 135 For purposes of this exercise, assume that these 815 bicycle accidents are a random sample of fatal bicycle accidents. Suppose a safety office proposes that bicycle fatalities are twice as likely to occur between noon and midnight as during midnight to noon and suggests the following hypothesis: Ha: p1 > 1/3, p2>2/3 Ha: p1 ≠1/33, p2=2/3 Ha: p1 =1/3,p2=2/3 Ha: H0 is not true. Ha: p1 >1/3,p2<2/3 x2=______? p-value______? State the conclusion in the problem context. Reject H0. There is convincing evidence to conclude that bicycle fatalities are not twice as likely to…
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
4.764.724.744.554.914.744.784.714.804.784.784.754.794.824.914.834.684.744.704.804.704.764.704.834.934.744.844.824.764.774.724.784.834.754.744.684.844.714.714.764.664.784.734.744.924.774.804.794.864.644.784.704.754.784.764.834.664.774.834.784.694.814.684.784.884.724.854.854.814.744.804.824.844.704.854.704.814.724.794.63 What is the mean, median, and mode? (you may want to use your calculator or the average and median functions in Excel!) What could be some reasons for variation in the weights of the Kisses®? Note: Take time answering this one. There are lots of things to consider here and I'll be looking for a well thought out answer with several given reasons contributing to the variation. Of course, the wrappers and tags could vary but what about the drops of chocolate themselves? Why aren't they all the same? Would you say that there are any two Kisses that have exactly the same weight? (I mean exactly the same weight!) Explain why or why not. How many Kisses® were there in the…
What is the population mode of commute time of the employees of Asons? Employee Commute Time (mins) Number 1 2 3 4 5 6 7 O O 35 40 45 50 20 35 90 45 40 35 50
A particular report included the following table classifying 816 fatal bicycle accidents that occurred in a certain year according to the time of day the accident occurred. Time of Day Number of Accidents midnight to 3 a.m. 46 3 a.m. to 6 a.m. 50 6 a.m. to 9 a.m. 85 9 a.m. to noon 72 noon to 3 p.m. 79 3 p.m. to 6 p.m. 157 6 p.m. to 9 p.m. 193 9 p.m. to midnight 134 For purposes of this exercise, assume that these 816 bicycle accidents are a random sample of fatal bicycle accidents. Do these data support the hypothesis that fatal bicycle accidents are not equally likely to occur in each of the 3-hour time periods used to construct the table? Test the relevant hypotheses using a significance level of a = 0.05. Let P1. P2: P3: P4 Ps: Pe: P7, and Pg be the proportions of accidents occurring in the eight different time periods. State the appropriate null and alternative hypotheses. O Ho: P1 = P2 = P3 = P4 = Ps = P6 = P7 = Pg = 816 H: Ho is not true. O Ho: P1 = P2 = P3 = P4 = P5 = P6 = P7 =…

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