Category: Statistics

Please answer all questions on the project pdf. I uploaded an Excel file to use for questions 1 and 2. Use R studio. Please answer all questions

Hello, I need help getting the answers for my quiz. 42 questions. Multiple choice and fill-in the blank. I will attach below.

The Framingham Heart Study is one of the most influential and longest running epidemiological studies of risk factors for cardiovascular disease ever run. The study started in 1948 and continues today to collect extensive data from original participants, their children, and their children’s children. Much of what we know about cardiovascular disease was discovered by investigators involved in the Framingham Heart Study.
The following excel dataset is real but anonymized data collected as part of the Framingham Heart Study. Using the dataset and SPSS, answer the following questions directly. Note, copy paste only relevant SPSS output as part of your answers, highlight exact answers:
1. Is there is a statistically significant correlation between blood glucose and Systolic or diastolic blood pressure?
a. State the appropriate hypotheses for the test
b. Using a simple scatter chart, plot blood glucose against blood pressure, creating separate plots for SYSBP and DIABP.
c. Visually evaluate the assumptions of linearity and assess whether any outliers are present.
d. State the correlation coefficient and the p-value.
e. Interpret the results and state your conclusions
2. Evaluate whether age and BMI are predictive (separately)of total cholesterol.
a. Create separate scatter plots for the Age and BMI with Total cholesterol.
b. Visually evaluate the assumptions of linearity and homogeneity of variance.
Assess whether any outliers are present.
c. Is there a statistically significant linear relationship between each of age and BMI with total Cholesterol? State your hypotheses, the estimated regression lines and p-value.
d. Interpret the results, including an explanation of the slopes and y-intercepts for
each regression equation and R2 values
e. State your conclusions
3. Do the average heart rates differ based on BMI status defined by Underweight:
BMI<19.0; Normal weight 19.0<=BMI < 25.0; Overweight 25.0 < = BMI < 30.0; Obese: BMI>=30.0? In other words, Is there a statistically significant relationship between heart rates and BMI status?
a. State the hypotheses.
b. Construct mean plots of heart rates with respect to the BMI status.
c. Using the plots in b). above (visually) state your conclusion
d. Report the test statistics, and the p-values of the test.
e. Perform post hoc analyses (pairwise comparisons) and report 95% pairwise CI’s for the difference between mean heart rate for each BMI category.
f. Interpret the results.
g. State your conclusions

Hypothesis:
Students’ ability to recall verbal episodic memory tasks may vary depending on their gender, with some recalling more tasks and others recalling fewer. (Independent samples t-test) IV: Gender, DV: number of recalled tasks
Data is attached .

The Framingham Heart Study is one of the most influential and longest running epidemiological studies of risk factors for cardiovascular disease ever run. The study started in 1948 and continues today to collect extensive data from original participants, their children, and their children’s children. Much of what we know about cardiovascular disease was discovered by investigators involved in the Framingham Heart Study.
The following excel dataset is real but anonymized data collected as part of the Framingham Heart Study. Using the dataset and SPSS, answer the following questions directly. Note, copy paste only relevant SPSS output as part of your answers, highlight exact answers:
1. Is there is a statistically significant correlation between blood glucose and Systolic or diastolic blood pressure?
a. State the appropriate hypotheses for the test
b. Using a simple scatter chart, plot blood glucose against blood pressure, creating separate plots for SYSBP and DIABP.
c. Visually evaluate the assumptions of linearity and assess whether any outliers are present.
d. State the correlation coefficient and the p-value.
e. Interpret the results and state your conclusions
2. Evaluate whether age and BMI are predictive (separately)of total cholesterol.
a. Create separate scatter plots for the Age and BMI with Total cholesterol.
b. Visually evaluate the assumptions of linearity and homogeneity of variance.
Assess whether any outliers are present.
c. Is there a statistically significant linear relationship between each of age and BMI with total Cholesterol? State your hypotheses, the estimated regression lines and p-value.
d. Interpret the results, including an explanation of the slopes and y-intercepts for
each regression equation and R2 values
e. State your conclusions
3. Do the average heart rates differ based on BMI status defined by Underweight:
BMI<19.0; Normal weight 19.0<=BMI < 25.0; Overweight 25.0 < = BMI < 30.0; Obese: BMI>=30.0? In other words, Is there a statistically significant relationship between heart rates and BMI status?
a. State the hypotheses.
b. Construct mean plots of heart rates with respect to the BMI status.
c. Using the plots in b). above (visually) state your conclusion
d. Report the test statistics, and the p-values of the test.
e. Perform post hoc analyses (pairwise comparisons) and report 95% pairwise CI’s for the difference between mean heart rate for each BMI category.
f. Interpret the results.
g. State your conclusions

Write a paragraph summarizing what you learned from the articles provided.Consider the use of confidence intervals in health sciences with these articles as inspiration and insights.

Discuss your method of collection for the values that you are using in your study (systematic, convenience, cluster, stratified, simple random).
What are some faults with this type of data collection?
What other types of data collection could you have used, and how might this have affected your study?

I used a convenience sampling method approach to find the participants for my study. I measured my family member height and called some of my friends and relatives.

Read Encrenaz et al. (2012) and answer the following questions:
The authors say they have a Seasonal ARIMA model of [(0,1,1) x (0, 1, 1)12 for their monthly data. Explain in terms of the variables in the article what this means.
The authors say they have an ARIMA model of (1,1,1) for their daily data. Explain in terms of the variables in the article what this means.
The authors conclude that sports teams winning important games over a series has the effect of decreasing suicides in men between the ages of 30 and 4. Evaluate their evidence and explain why you would accept or reject their argument.

I need help answering this question for my spss graph. Also include the steps on how to go about inserting the test on SPSS Use the photos i attached to help you determine the answer
Is your question a relationship question or a difference question?
What is your dependent variable?
Is your dependent variable score or categorical?
How many independent variables do you have?
What is your independent variable(s)?
i. For the independent variable, is it score or categorical?

If it is categorical:
• a. How many levels are there?
• i. What are the levels?
• b. Is it between subjects or within subjects?
What statistical analysis sheet do you think you should run?

Read Encrenaz et al. (2012) and answer the following questions:
The authors say they have a Seasonal ARIMA model of [(0,1,1) x (0, 1, 1)12 for their monthly data. Explain in terms of the variables in the article what this means.
The authors say they have an ARIMA model of (1,1,1) for their daily data. Explain in terms of the variables in the article what this means.
The authors conclude that sports teams winning important games over a series has the effect of decreasing suicides in men between the ages of 30 and 4. Evaluate their evidence and explain why you would accept or reject their argument.