KIn a recent year, a research organization found that 298 of the 451 respondents who reported earning less than $30,000 per year said they were social networking users. At the other end of the income scale, 342of the 561 respondents reporting earnings of $75,000 or more were social networking users. Let any difference refer to subtracting high-income values from low-income values. Complete parts a through d belowAssume that any necessary assumptions and conditions are satisfieda) Find the proportions of each income group who are social networking users.The proportion of the low-income group who are social networking users is 6608The proportion of the high-income group who are social networking users is 6096(Round to four decimal places as needed.)b) What is the difference in proportions?0512(Round to four decimal places as needed.)c) What is the standard error of the difference?0304(Round to four decimal places as needed.)d) Find a 95% confidence interval for the difference between these proportions.(Round to three decimal places as needed.)

a) Find the proportions of each income group who are social networking usersStep 1: Identify the…

Answered: K In a recent year, a research…

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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William Profit is studying companies going public for the first time. He isparticularly interested in the relationship between the size of the offering and theprice per share. A sample of 15 companies that recently went public revealed the following information: y x 10.8 9 11.3 94.4 11.2 27.3 11.1 179.2 11.1 71.9 11.2 97.9 11 93.5 10.7 70 11.3 160.7 10.6 96.5 10.5 83 10.3 23.5 10.7 58.7 11 93.8 10.8 34.4
Given the weekly price and quantity (Qx and (Px) data for Andy’s ice cream over the past 12 weeks and the price of another ice-cream flavor (Po) as: Qx 84 82 85 83 82 84 87 81 82 79 82 78 Px 8.50 9.00 8.75 9.25 9.50 9.25 8.25 10.00 10.00 10.50 9.50 10.25 Po 5.25 6.00 6.00 6.50 6.25 6.25 5.25 7.00 7.25 7.25 6.75 7.25 a. Use excel regression to estimate the weekly demand for Andy’s ice-cream (attach the output of the regression estimate (Hint: Use regression in excel to find the estimated demand function: Enter the data in excel, click on Data Analysis, and use the regression command). b. Are the coefficients on the two prices statistically significantly different from zero at the 5% significance level? How do you know? c. What the R2? d. Explain what R2 means.
The following data represents the winning percentage (the number of wins out of 162 games in a season) as well as the teams Earned Run Average, or ERA.The ERA is a pitching statistic. The lower the ERA, the less runs an opponent will score per game. Smaller ERA's reflect (i) a good pitching staff and (ii) a good team defense. You are to investigate the relationship between a team's winning percentage - Y, and its Earned Run Average (ERA) - X. Winning Proportion - Y Earned Run Average (ERA) - X 0.623457 3.13 0.512346 3.97 0.635802 3.68 0.604938 3.92 0.518519 4.00 0.580247 4.12 0.413580 4.29 0.407407 4.62 0.462963 3.89 0.450617 5.20 0.487654 4.36 0.456790 4.91 0.574047 3.75 (b) Use R-Studio to find the least squares estimate of the linear model that expressed a teams winning percentage as a linear function of is ERA. Use four decimals in each of your answers.Y^i = ? + - Xi(e) A certain professional baseball team had an earned run average of 3.45 this past…
For the following line graph, State at least one type of conclusion that could be made from the data provided for the KPI. Suggest one other data source that would provide more information to make data-driven decisions. Explain what information that source would supply. I used the line graph btw. Examples: 1)The KPI webpage for South Texas College provides information on the proportion of graduates who find employment. According to the data, over the past five years, the proportion of graduates who find work has risen annually. Data on the percentage of students who are employed in their field of study after graduation, the percentage of students who are employed full-time after graduation, and the percentage of students who are satisfied with their job after graduation would also be useful in making decisions about post-graduation success. This information would shed light on the factors that are causing the rise in the proportion of graduates who find employment. 2)The…
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Use the following information to answer the next seven exercises: Studies are often done by pharmaceutical companies to determine the effectiveness of a treatment program. Suppose that a new AIDS antibody drug is currently under study. It is given to patients once the AIDS symptoms have revealed themselves. Of interest is the average (mean) length of time in months patients live once starting the treatment. Two researchers each follow a different set of 40 AIDS patients from the start of treatment until their deaths. The following data (in months) are collected. Researcher A: 3; 4; 11; 15; 16; 17; 22; 44; 37; 16; 14; 24; 25; 15; 26; 27; 33; 29; 35; 44; 13; 21; 22; 10; 12; 8; 40; 32; 26; 27; 31; 34; 29; 17; 8; 24; 18; 47; 33; 34 Researcher B: 3; 14; 11; 5; 16; 17; 28; 41; 31; 18; 14; 14; 26; 25; 21; 22; 31; 2; 35; 44; 23; 21; 21; 16; 12; 18; 41; 22; 16; 25; 33; 34; 29; 13; 18; 24; 23; 42; 33; 29
The following data are the monthly starting salaries and the Grade Point Averages (GPA) of business graduates who have obtained a first degree in accounting. x: GPA y: Monthly Salary ($) 2.1 2.5 3.3 3.5 3.1 3.6 2.8 1.9 3.5 19,000 18,000 21,000 25,000 20,000 24,000 21,000 24,000 17,000 Suppose that you want to build a simple linear regression model to relate x and y, as follows: y = Bo + Box + (a) Use the least squares method to determine the sample estimates, bo and b₁ of the population regression parameters, B and B₁. You need to apply the relevant formulae and show your calculation details. (b) (c) Write down the fitted regression equation and specify the valid range of the equation. Forecast the starting salary for a graduate with GPA= 3.7. Do you think that such a forecast is reliable? Justify your answer briefly.
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From the following data of the daily wage of 500 workers of a factory find the number of workers : (a) whose wages are more than $ 370 but not more than $ 400. (b) whose wages are less than $ 370 but not less than $ 350. Wages not exceeding $ 300 =150 workers Wages not exceeding $ 350 = 180 workers Wages not exxceeding $ 400 = 240 workers Wages not exceeding $ 450 = 400 workers Wages not exceeding $ 500 = 500 workers
The following table is a selection of average prices for a gallon of gas in the United States. Year Gas Price Index Value 2001 [A] 2003 [B] 2004 2018 [A] = Build an index from these values, using 2003 as the base year. Round each index value to the nearest tenth. [B] = = [C] = $1.42 $1.56 $1.85 $2.72 [D] = [C] [D]
d. If the data is annual salary in the U.S and the population is all legally employed people in the U.S., the z-scores of people who make minimum wage would be O zero O negative O positive
A realtor is displaying the histogram below, which summarizes the percentage appreciation in value (over the past five years) for each of a random sample of 25 houses in Newburg Park. Relative frequency 0.4 0.32 03- 0.2 0.2 0.2 016 0.12 0.1 10 20 40 Appreciation (in percent) Based on the histogram, draw the ogive (the ccumulative relative frequency polygon) for the sample data. Cumulative relative froquency 0.6 0.4 02 0.00 0.00 [0.00 T0.00 0.0 10 20 30 40 30 Appreciation (in percent)

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