The subject is Engineering Data Analysis c. The tar contents of 8 brands of cigarettes selected at random from the latest list released bythe Federal Trade Commission are as follows: 7.3, 8.6, 10.4, 16.1, 12.2, 15.1, 14.5, and 9.3milligrams. Calculate (a) the mean; (b) the variance.

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Answered: c. The tar contents of 8 brands 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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Insurance (Life Expectancy). Insurance companies base their premiums on many factors, but basically all the factors are variables that predict life expectancy. Life expectancy varies from place to place. The following variables are from a data set on various measures obtained from the 50 US states (around 2009) Murder: rate per 100,000 HS Graduation: recorded as a percentage Income: per capita income in dollars Illiteracy: rate per 1,000 Life Expectancy: recorded in years 2008 Electoral vote state color: red / blue State electoral vote color coded: red = 1 / blue = 0 Multiple linear regression results: See Attachments please Write the multiple linear regression equation, use this equation to predict the Life expectancy for Pennsylvania and calculate the residual. Data: State Name Life Expectancy Murder HS Grad Income Illiteracy ColorCode Color Alabama 69.05 15.1 41.3 3624 2.1 1 red Alaska 69.31 11.3 66.7 6315 1.5 1 red Arizona 70.55 7.8 58.1 4530 1.8 1 red Arkansas…
An economist was interested in the relation between the disposable income of a family and the amount of money used for food per month. He did a preliminary study on eight randomly selected lower income families. (Each family was of the same size; father, mother and two children). The economist’s data are given in the table below. Food cost (Y) (in hundreds of rand) 55 60 42 40 37 26 39 43 Family disposable income(X) (in hundreds of rand) 30 36 27 20 16 24 19 25 Find the regression linear equation. What is the predicted food cost if the family disposable income is R1800? Find the correlation coefficient & Interpret r. Find the Coefficient of Determination & Interpret the R2.
Chi-square independence. A medical paper studies whether the type of medical practice (pediatric, family, or Ob/Gyn) may be associated with the rate at which young female patients complete a course of vaccination for the HPV virus. A sample of 1413 patients yielded the following data: "yes" means the patient completed the course, "no" means she did not: yes no total pediatric 162 353 515 family 106 259 365 Ob/Gyn 201 332 533 total 469 944 1413 At the 5% significance level, do the data support the hypothesis that an association exists between type of medical practice and completion of treatment? For this first problem, calculate the expected frequencies to the nearest integer and place them in the table above, in parentheses, next to the corresponding observed frequencies. Then calculate the test statistic.
Part D. Data from the Statistical Abstract of the United States provides a panel data collected at the state level in 1987 and 1990. These data are used to estimate MODEL 1: The variables used in the analysis are: infmort is number of deaths within the year per 1,000 live births Ipcinc is natural log of per capita income Ipopul is natural log of the population (the population is in thousands) Iphysic is natural log of physicians per 100,000 inhabitants d90 is year dummy for 1990. For questions 1 to 4 you can assume that MLR 1-4 are satisfied. A 1. Use the Stata output below to interpret ß3. Test at a 5% significance level whether the number of physicians per capita has any effect on infant mortality rate. reg infmort 1pcinc 1popul 1physic d90 Source Model Residual Total infmort infmort = Po + B₁lpcinc + B₂lpopul + ß3lphysic + 8₁ d90 + u SS 78.0499129 350.452136 428.502049 df . 19.5124782 4 97 3.61290862 Coef. Std. Err. MS 101 4.24259454 1pcinc -4.693354 1.638132 1popul - .0551426…
Discuss what G. E. P. Box might have meant when he wrote “All models are wrong but some are useful.”
It's very uncommon for researchers to amass large amounts of data over time before feeding them into a computer for analysis. What is the purpose of this?
High Cholesterol: A group of eight individuals with high cholesterol levels were given a new drug that was designed to lower cholesterol levels. Cholesterol levels, in milligrams per deciliter, were measured before and after treatment for each individual, with the following results: Individual Before After 1 253 202 2 237 213 3 282 184 276 205 246 179 6 258 209 7 293 181 8 276 187 Send data to Excel Part: 0 / 2 Part 1 of 2 focal laual. Int & ronracent the cholesterol level before treatment minus the Part 1 of 2 (a) Construct a 99% confidence interval for the mean reduction in cholesterol level. Let d represent the cholesterol level before treatment minus the cholesterol level after. Use the TI-84 calculator and round the answers to at least one decimal place. A 99% confidence interval for the mean reduction in cholesterol level is <<0.
TOPIC: Linear Regression please answer, will upvote your solutions.
Q3 explain THREE (3) major issues in handling Big Data. Q4 (a) Discuss the steps in the Data Life Cycle. List down any FOUR (4) important issues that required when designing a simulation study. (b)
High Cholesterol: A group of eight individuals with high cholesterol levels were given a new drug that was designed to lower cholesterol levels. Cholesterol levels, in milligrams per deciliter, were measured before and after treatment for each individual, with the following results: Individual Before After 1 237 208 2 239 202 3 230 185 4 245 217 5 242 180 6 282 215 7 243 182 8 286 195 Send data to Excel Part: 0 / 2 Part 1 of 2 (a) Construct a 99.9% confidence interval for the mean reduction in cholesterol level. Let d represent the cholesterol level before treatment minus the cholesterol level after. Use the TI-84 calculator and round the answers to at least one decimal place.
Section 10.2 Question #11 The data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. Find the best predicted number of viewers for a television star with a salary of $11million. Is the result close to the actual number of viewers, 3.3 million? Use a significance level of 0.05. Salary (millions of $) 108 15 2 15 3 8 4 14 Viewers (millions) 9.1 9.3 10.9 1.3 4.8 4.8 3.2 1.8 View the critical values of the Pearson correlation coefficient r. Critical values of the pearson correlation coefficient r n α=0.05 α=0.01 NOTE: To test H0: ρ=0 against H1: ρ≠0,reject H0if the absolute value of r is greater than the critical value in the table. 4 0.950 0.990 5 0.878 0.959 6 0.811 0.917 7 0.754 0.875 8 0.707 0.834 9 0.666 0.798 10 0.632 0.765 11 0.602 0.735…

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c. The tar contents of 8 brands of cigarettes selected at random from the latest list released by the Federal Trade Commission are as follows: 7.3, 8.6, 10.4, 16.1, 12.2, 15.1, 14.5, and 9.3 milligrams. Calculate (a) the mean; (b) the variance.