27 Jun ESSAY 1 A GROUP OF RESEARCHERS CONDUCTED AN EXPERIMENT TO DETERMINE WHICH VACCINE IS MORE EFFECTIVE FOR PREVENTING GETTING THE FLU.
The purpose of the Final Exam is to assess your understanding of the main statistical concepts covered in this course and to evaluate your ability to critically review a quantitative research article. The exam will consist of two parts: Part I includes three essay questions and Part II includes a research critique. All of your responses should be included in a single Word document for submission.
Please include the following general headings for each section of the written exam within your Word document:
Part I: Essay Questions
Essay 1
Essay 2
Essay 3
Part II: Research Study Critique
Introduction
Methods
Results
Discussion
Your complete Word document must include a title page with the following:
Students name
Course name and number
Instructors name
Date submitted
Part I: Essay Questions
There are three essay questions in this section. You must answer all three questions. The length of each essay should be one to two double-spaced pages (excluding title and reference pages). Use 12-point font and format your paper with regular 1-inch margins. Do not include the essay prompt in your document. It will not count toward the length requirement for your essays.
Essay 1
A group of researchers conducted an experiment to determine which vaccine is more effective for preventing getting the flu. They tested two different types of vaccines: a shot and a nasal spray. To test the effectiveness, 1000 participants were randomly selected with 500 people getting the shot and 500 the nasal spray. Of the 500 people were treated with the shot, 80 developed the flu and 420 did not. Of the people who were treated with the nasal spray, 120 people developed the flu and 380 did not. The level of significance was set at .05. The proportion of people who were treated with the shot who developed the flu = .16, and the proportion of the people who were treated with the nasal spray was .24. The calculated p value = .0008.
For this essay, describe the statistical approaches (e.g., identify the hypotheses and research methods) used in this excerpt from a research study. Interpret the statistical results and examine the limitations of the statistical methods. Finally, evaluate the research study as a whole and apply what you have learned about hypothesis testing and inferential statistics by discussing how you might conduct a follow-up study.
Your essay must address the following points:
Describe the research question for this experiment.
What were the null and alternative hypotheses?
Were the results of this test statistically significant?
If so, why were they significant?
Would the researchers reject or fail to reject the null hypothesis?
Do the results provide sufficient evidence to support the alternative hypothesis?
Was the sample appropriate for this study? Explain your answer.
What are some possible limitations to this study?
Discuss how you would conduct a follow up study to this one. Explain your answer.
Describe the difference between practical and statistical significance.
Essay 2
A researcher has investigated the relationship between IQ and grade point average (GPA) and found the correlation to be .75.
For this essay, critique the results and interpretation of a correlational study.
Evaluate the correlational result and identify the strength of the correlation.
Examine the assumptions and limitations of the possible connection between the researchers chosen variables.
Identify and describe other statistical tests that could be used to study this relationship.
Your essay response must address the following questions:
How strong is this correlation?
Is this a positive or negative correlation?
What does this correlation mean?
Does this correlation imply that individuals with high Intelligence Quotients (IQ) have high Grade Point Averages (GPA)?
Does this correlation provide evidence that high IQ causes GPA to go higher?
What other variables might be influencing this relationship?
What is the connection between correlation and causation?
What are some of the factors that affect the size of this correlation?
Is correlation a good test for predicting GPA?
If not, what statistical tests should a researcher use, and why?
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