Question

In: Nursing

You will be using your Framingham dataset to answer the following questions. You will be performing...

You will be using your Framingham dataset to answer the following questions. You will be performing hypothesis testing. For each question, please write out the null hypothesis, alternate hypothesis, which test statistic you will be using (based on variable type). Then report the results from performing the analysis using SPSS. Make sure to report the test statistic, significance level, and whether you will accept or reject the null hypothesis and why. Finally, if you find significant differences, report the proper. descriptive statistics.

                         Questions
5. Are there differences for people in different BMI categories (underweight, normal weight, overweight, obese) in systolic blood pressure?
6. Are there differences for people in different BMI categories in total serum cholesterol?
7. Are there differences for people in different BMI categories in rates of prevalent coronary heart disease?
8. Are there differences for people in different BMI categories in rates of prevalent hypertension

Solutions

Expert Solution


Related Solutions

You will be using your Framingham dataset for the following questions. 7. Calculate a multivariable regression...
You will be using your Framingham dataset for the following questions. 7. Calculate a multivariable regression where the outcome is total serum cholesterol and the independent variables are BMI, age, sex and smoking status. Interpret. 8. Use the regression from question 7 to answer the following. a. What is the predicted total serum cholesterol for a 50 year-old man who doesn’t smoke and whose BMI is 25? b. What is the predicted total serum cholesterol for a 25 year-old woman...
Using the mtcars dataset, answer the following questions: Fill in the following table: Variable Correlation with...
Using the mtcars dataset, answer the following questions: Fill in the following table: Variable Correlation with mpg cyl -0.85216 disp -0.84755 hp -0.77617 drat 0.681172 wt -0.86766 qsec 0.418684 vs 0.664039 am 0.599832 gear 0.480285 carb -0.55093 mpg cyl disp hp drat wt qsec vs am gear carb Mazda RX4 21 6 160 110 3.9 2.62 16.46 0 1 4 4 Mazda RX4 Wag 21 6 160 110 3.9 2.875 17.02 0 1 4 4 Datsun 710 22.8 4 108...
How do I upload the Dataset in order for you to answer the following questions? Generate...
How do I upload the Dataset in order for you to answer the following questions? Generate a bivariate display in SPSS or PSPP for the DEGREE variable with each of the other attitude variables (you will have two tables). Then answer the questions below. Q3a: The majority of those with a Graduate degree reported what level of confidence in the military? Report the category for conarmy and the associated percentage. Category _______________ Percentage_____________
Solve it by R Use the “d_logret_6stocks” dataset to answer the questions. Test by using α=...
Solve it by R Use the “d_logret_6stocks” dataset to answer the questions. Test by using α= .01. (General Motor: GenMotor). (1) Regress the return of General Motor on the returns of Citigroup (with intercept). Report the estimated coefficients. Is there any evidence to show strong linear relationship between these two variables at significance level 5%? (2) Suppose we “know” the return of Citigroup tomorrow is 0.05, what is the predicted return of General Motor tomorrow? (3) Compute the correlation of...
Next, answer the following questions regarding the dataset you are analyzing (Exam Anxiety in Students) How...
Next, answer the following questions regarding the dataset you are analyzing (Exam Anxiety in Students) How did you treat missing or oddly coded data and outliers? What did you visually observe about your variables? What were the results of testing for normality for scale variables? What is the difference in the graphs for scale and non-scale variables? How would you summarize the descriptive statistics for each variable? How would you state a potential null and alternative hypotheses that might be...
b. Write down potential questions that you could answer using regression analysis for the Happiness_2011.xls dataset...
b. Write down potential questions that you could answer using regression analysis for the Happiness_2011.xls dataset c. Perform one simple regression using any two reasonable variables from the Happiness_2011.xls file (two quantitative variables) and show the analysis result d. Interpret the findings from the simple regression analysis e. Add one or more quantitative variable (including dummy variable that have values of 0 and 1) to the analysis in #b, perform one multiple regression analysis f. Interpret your findings from the...
You will be performing an analysis on a dataset that contains data on fertility and life...
You will be performing an analysis on a dataset that contains data on fertility and life expectancy for 198 different countries. All data is from the year 2013. The fertility numbers are the average number of children per woman in each of the countries. The life expectancy numbers are the average life expectancy in each of the countries. You will be turning in a paper that should include section headings, graphics and tables when appropriate and complete sentences which explain...
ANSWER USING R CODE Using the dataset 'LakeHuron' which is a built in R dataset describing...
ANSWER USING R CODE Using the dataset 'LakeHuron' which is a built in R dataset describing the level in feet of Lake Huron from 1872- 1972. To assign the values into an ordinary vector,x, we can do the following 'x <- as.vector(LakeHuron)'. From there, we can access the data easily. Assume the values in X are a random sample from a normal population with distribution X. Also assume the X has an unknown mean and unknown standard deviation. With this...
Using the R package to answer the following two questions. You MUST submit your R code...
Using the R package to answer the following two questions. You MUST submit your R code for analysis. 2. Below are heights for a simple random sample of n = 15 young trees (in cm). (50 pts) 27, 33, 33, 34, 36, 37, 39, 40, 40, 41, 41, 42, 44, 46, 47. (a) Test the hypothesis that the mean tree height is equal to 38 cm. (b) Calculate the 95% confidence interval for the population mean of young trees. (c)...
Use the “d_logret_6stocks” dataset to answer the questions. (General Motor: GenMotor)(using R) (1) Regress the return...
Use the “d_logret_6stocks” dataset to answer the questions. (General Motor: GenMotor)(using R) (1) Regress the return of General Motor on the returns of Citigroup with intercept and without intercept, respectively. Report the estimated coefficients. (2) Generate an ANOVA table to conclude if regression effects are significant. (3) Compute the correlation of General Motor and Citigroup, and test if their correlation is zero. (4) Test if the proportion of returns of Citigroup greater than Pfizer is 0.6. dataset below Date   Pfizer  ...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT