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Exploratory Data Analysis. Perform Exploratory Data Analysis on all variables in the data set. Because you are going to focus on Extroversion and Agreeableness, be sure to include scatterplots for these combinations of variables (Student Agreeableness/Lecture Agreeableness; Student Extroversion/Lecture Extroversion; Student Agreeableness/Lecture Extroversion; Student Extroversion/Lecture Agreeableness) and include the regression line on the chart. Give a one to two paragraph write up of the data once you have done this. Create an APA style table that presents descriptive statistics for the sample. Make a decision about the missing data. How are you going to handle it and why? Correlation. Perform a correlational analysis on the following variables: Student Extroversion, Lecture Extroversion, Student Agreeableness, Lecture Agreeableness. Ensure you handle missing data as you decided above. State if you are using one or two-tailed test and why. Write up the results in APA style and interpret them. Regression. Calculate a regression that examines whether or not you can predict if a student wants a lecturer to be extroverted using the student's extroversion score. Ensure you handle missing data as you decided above. State if you are using one or two-tailed test and why. Include diagnostics Discuss assumptions; are they met? Write the results in APA style and interpret them. Do these results differ from the correlation results above? Multiple Regression. Calculate a multiple regression that examines whether age, gender, and student's extroversion predict if a student wants the lecturer to be extroverted. Ensure you handle missing data as you decided above. State if you are using one or two-tailed test and why. Include diagnostics Discuss assumptions; are they met? Write the results in APA style and interpret it. Do these results differ from the correlation results above? Part B Briefly restate your research area of interest. Pearson Correlation: Identify two variables for which you could calculate a Pearson correlation coefficient. Describe the variables and their scale of measurement. Now, assume you conducted a Pearson correlation and came up with a significant positive or negative value. Create a mock r value (for example, .3 or -.2). Report your mock finding in APA style (note the text does not use APA style) and interpret the statistic in terms of effect size and R2 while also taking into account the third variable problem and well as direction of causality. Spearman's Correlation: Identify two variables for which you could calculate a Spearman's correlation coefficient. Describe the variables and their scale of measurement. Now, assume you conducted a correlation and came up with a significant positive or negative value. Create a mock r value (for example, .3 or -.2). Report your mock finding in APA style (note the text does not use APA style) and interpret the statistic in terms of effect size and R2 while also taking into account the third variable problem and well as direction of causality. Partial Correlation vs. Semi-Partial Correlation: Identify three variables for which you may be interested calculating either a partial or semi-partial correlation coefficient. Compare/contrast these two types of analyses using your variables and research example. Which would you use and why? Simple Regression: Identify two variables for which you could calculate a simple regression. Describe the variables and their scale of measurement. Which variable would you include as the predictor variable and which as the outcome variable? Why? What would R2 tell you about the relationship between the two variables? Multiple Regression: Identify at least 3 variables for which you could calculate a multiple regression. Describe the variables and their scale of measurement. Which variables would you include as the predictor variables and which as the outcome variable? Why? Which regression method would you use and why? What would R2 and adjusted R2 tell you about the relationship between the variables? Logistic Regression: Identify at least 3 variables for which you could calculate a logistic regression. Describe the variables and their scale of measurement. Which variables would you include as the predictor variables and which as the outcome variable? Why? Which regression method would you use and why? What would the output tell you about the relationship between the variables?
A newspaper finds that the mean number of typographical errors per page is five. Find the probability that:
When making the histogram from frequency table, (a) what goes along the bottom, (b) what goes along the left edge, and (c) what goes above each value?
Use the interaction plot to argue that the new design is less sensitive to changes in environmental conditions (temperature and humidity). What limitations apply to this argument?
Using the .05 level, what should the researcher conclude? Solve this problem explicitly using all five steps of hypothesis testing.
Bonus is sales are made to 3 of the neighbors, and $200 if he able to sell to 4 neighbors. In how many ways can edwards make bonuses greater than $50?
For the following investigative scenarios, state the null hypothesis, and the alternative hypothesis. Also identify the Type 1 and Type 2 errors which can result based on the hypotheses that you defined.
Based on your answers to a through d, decide whether or not to reject the null hypothesis at the given significance level. Explain your conclusion in the context of the problem.
It has been reported that 80% of taxpayers who are audited by the Internal Revenue Service end up paying more money in taxes. Assume that auditors are randomly assigned to cases, and that one of the ways the IRS oversees its auditors is to monitor..
In the week before and the week after a holiday, there were 10,000 total deaths, and 4972 of them occurred in the week before the holiday.
A mean of 68 years and a standard deviation of 3.5 years. Find the age at which payments have ceased for approximately 86% of the plan participants.
The engineers hoped to base their decision on the reactions of 50 drivers, but time and budget constraints may force them to cut back to 20. How would this affect the power of the test? Explain.
A standard IQ test has mean of 98 and a standard deviation of 16. We want to be 99% certain that we are 8 IQ points of the true mean. Determine the sample size.
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