In a survey, it was found that 79% of the population of a certain urban area lived in single-family dwellings and 21% in multiple housing. Five years later, of those who had beenliving in single-family dwellings, 93% still did so, but 7% had moved to multiple-family dwellings. Of those in multiple housing, 97% were still living in that type of housing, while3% had moved to single-family housing. Assume that these trends continue. Answer parts (a) through (f).(a) Fill in the appropriate transition matrix for this information.single familymultiple housingsingle multiple(Type an integer or decimal for each matrix element.)

Step 1: To create the transition matrix based on the given information, let's first summarize the…

Answered: In a survey, it was found that 79% of…

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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Data from the Bureau of Labor Statistics indicates that in a certain month, 36.8% of the labor force had a high school diploma or fewer years of education, 29.9% had some college or an associate's degree, and 33.3% had a bachelor's degree or more education. Of those with a high school diploma or fewer years of education, 6.8%were unemployed. Of those with some college or an associate's degree, 4.7% were unemployed, and of those with a bachelor's degree or more education, 2.9%were unemployed. Find the probability that a randomly chosen labor force participant has some college or an associate's degree given that he or she is unemployed.
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“The incidence of depression among college students is negatively correlated with the number of sunny days each year in the locale where they attend college.” This statement means that: a. a student attending college in a locale with very few sunny days will become depressed. b. if a depressed student were to move to a locale with more sunny days, the student's depression would subside. c. the chances of a college student being depressed tend to increase as the number of sunny days increases. d. the chances of a college student being depressed tend to increase as there are fewer sunny days.
In a survey, it was found that 72%of the population of a certain urban area lived in single-family dwellings and 28% in multiple housing. One year later, of those who had been living in single-family dwellings, 89%still did so, but 11% had moved to multiple-family dwellings. Of those in multiple housing, 94%were still living in that type of housing, while 6%had moved to single-family housing. Assume that these trends continue. (a) Write a transition matrix using this information. Set it up so that the first row and first column represent single-family dwellings and the second row and second column represent multiple housing.
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A psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week. Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9 Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14 Using excel output, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to report the test statistic…
Among the literature on quitting smoking are data detailing the relative successfulness of people of different ages in quitting smoking. A study of 400 adults who began various smoking-cessation programs produced the data in the table below. In the table, each participant is classified according to two variables: length of their smoking cessation period ("Less than two weeks", "Between two weeks and one year", or "At least one year") and age ("21-34", or "35 and over"). In the table, "less than two weeks" means that the individual returned to smoking within two weeks of beginning the program; "between two weeks and one year" means that the individual lasted the first two weeks without smoking but retuned to smoking within a year; and "at least one year" means that the individual has not smoked for at least a year since beginning the program. The table is a contingency table whose cells contain the respective observed frequencies of classifications of the 400 smokers. In addition, three…

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