Question

In: Statistics and Probability

USE R, SHOW R CODE AND OUTPUT APPLIED STATISTICS 2 Are Angry People More Likely to...

USE R, SHOW R CODE AND OUTPUT

APPLIED STATISTICS 2

  1. Are Angry People More Likely to have Heart Disease’? People who get angry easily tend to be more likely to have heart disease. That is the conclusion of a study that followed a random sample of 12,986 people from three locations over about four years. All subjects were free of heart disease at the beginning of the study. The subjects took the Spielberger Trait Anger Scale, which measures how prone a person is to sudden anger. The 8474 people in the sample who had normal blood pressure were classified according to whether they had “coronary heart disease” (CHD) or not and whether they had low anger, moderate anger, or high anger according to the Anger Scale.  The classification summary is given.

Low Anger

Moderate Anger

High Anger

    

53

110

27

No CHD

3057

4621

606


                Use R to conduct a test to see whether we can conclude at α=0.05, that angry

                people are more likely to have heart disease.

USE R

Solutions

Expert Solution

The R output is:

The R code is:

x <- matrix(c(53,3057,110,4621,27,606), nrow = 2)
chisq.test(x)

p-value = 0.0003228

Since the p-value (0.0003228) is less than the significance level (0.05), we can reject the null hypothesis.

Therefore, we can conclude that angry people are more likely to have heart disease.

Please give me a thumbs-up if this helps you out. Thank you!


Related Solutions

USE R CODE AND SHOW OUTPUT APPLIED STATISTICS 2 Traditionally, the policy for students’ course grade,...
USE R CODE AND SHOW OUTPUT APPLIED STATISTICS 2 Traditionally, the policy for students’ course grade, >=90, A; between 80 to 89, B, between 70 to 79, C; between 60-69, D; and F, if <60. Now, suppose we use a new grade policy. We just to separate all students into four parts, with the first parts assigning grade A, second parts assigning grade B, then, C, then D (no F). We use the data RecordMath2526.txt to have a try for...
APPLIED STATISTICS 2 USE R CODE! SHOW R CODE Use data file RecordMath2526.txt, to produce a...
APPLIED STATISTICS 2 USE R CODE! SHOW R CODE Use data file RecordMath2526.txt, to produce a plot graph with Exam1 as x, Exam2 as y, use Gender as color, and Hw1 as pch. RecordMath2526 information Index Gender Hw1 Hw2 Hw3 Exam1 Hw4 Exam2 Hw5 Hw6 Hw7 Final 1 F 9 6 8 60 7 82 10 10 9 69 2 M 10 10 10 94 9 98 10 10 8 91 3 M 9 10 8 79 9 55 10...
APPLIED STATISTICS 2 PLEASE USE R, SHOW R CODE AND OUTPUT, with conclusion Let x<-c(1,2,3,4,5,6,7,8), y<-c(4,6,3,7,8,3,9,...
APPLIED STATISTICS 2 PLEASE USE R, SHOW R CODE AND OUTPUT, with conclusion Let x<-c(1,2,3,4,5,6,7,8), y<-c(4,6,3,7,8,3,9, 6.5). By vector operation (other method will get 0 point), find a). the equation of regression line, that is, find a, b. b). Find SSR, SSE c). Find F-value d). Find p-value e). Make your decision, that is, answer the question, can we say y and x have linear relationship at alpha=0.05?.
Please use R or Rstudio for this exercise and show everything, including the R output. Pay...
Please use R or Rstudio for this exercise and show everything, including the R output. Pay attention in everything in Bold, please. " The quality of Pinot Noir wine is thought to be related to the properties of clarity, aroma, body, flavor, and oakiness. Data for 38 wines are given in stat5_prob1. (a) Fit a multiple linear regression model relating wine quality to these regressors. (b) Construct the ANOVA table. (c) Test for the significance of the regression in a...
Use R to complete the following questions. You should include your R code, output and plots...
Use R to complete the following questions. You should include your R code, output and plots in your answer. 1. Two methods of generating a standard normal random variable are: a. Take the sum of 5 uniform (0,1) random numbers and scale to have mean 0 and standard deviation 1. (Use the properties of the uniform distribution to determine the required transformation). b. Generate a standard uniform and then apply inverse cdf function to obtain a normal random variate (Hint:...
Use R to complete the following questions. You should include your R code, output and plots...
Use R to complete the following questions. You should include your R code, output and plots in your answer. 1. Two methods of generating a standard normal random variable are: a. Take the sum of 5 uniform (0,1) random numbers and scale to have mean 0 and standard deviation 1. (Use the properties of the uniform distribution to determine the required transformation). b. Generate a standard uniform and then apply inverse cdf function to obtain a normal random variate (Hint:...
pl use R code to do that and show me the program Use a linear regression...
pl use R code to do that and show me the program Use a linear regression of Y~log(X) using the labtestdata.csv data to predict Y (2dp) when x = 250 on the unlogged scale? Calculate the F-value (1 dp) from an ANOVA on the regression of Y~log(X) using the data contained in labtestdata.csv abtestdata.csv y x 1.018746 1 1.508895 2 0.727282 3 1.787127 4 2.903983 5 3.181554 6 1.737834 7 2.715766 8 1.570552 9 3.046107 10 4.499675 11 4.240688 12...
(Be sure to paste the R Console Output and code!!!) Using the following data and R,...
(Be sure to paste the R Console Output and code!!!) Using the following data and R, write a brief paragraph about whether the in-home treatment is equally effective as the out-of-home treatment for two separate groups. Here are the data. The outcome variable is level of anxiety after treatment on a scale from 1 to 10. In-Home Treatment Out-of-Home Treatment 3 7 4 6 1 7 1 8 1 7 3 6 3 5 6 6 5 4 1 2...
Use R programming language to answer and please so show the code as well. A paper...
Use R programming language to answer and please so show the code as well. A paper manufacturer studied the effect of three vat pressures on the strength of one of its products. Three batches of cellulose were selected at random from the inventory. The company made two production runs for each pressure setting from each batch. As a result, each batch produced a total of six production runs. The data follow. Perform the appropriate analysis. Table is below Batch Pressure...
Let k ≥ 2. Use that R (the real numbers) is complete to show R^k is...
Let k ≥ 2. Use that R (the real numbers) is complete to show R^k is complete.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT