# Identify and describe other statistical tests that could be used to study this relationship.

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.

· Describe the research question for this experiment.

oWhat were the null and alternative hypotheses?

oWere the results of this test statistically significant?

oIf 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?

· What are some possible limitations to this study?

· 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 researcher’s chosen variables.

· Identify and describe other statistical tests that could be used to study this relationship.

· How strong is this correlation?

oIs this a positive or negative correlation?

oWhat 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?

oWhat 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?

oIf not, what statistical tests should a researcher use, and why?

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