19 Jan For this final assignment, you will combine all of the knowledge you have gained throughout this course to complete the final course project/mock study. When you complete this assignment,

statistics question and need an explanation and answer to help me learn.

Assignment Content
For this final assignment, you will combine all of the knowledge you have gained throughout this course to complete the final course project/mock study. When you complete this assignment, you will have completed a small mock study that mirrors the process of completing a larger study for your dissertation or a peer-reviewed publication.
Complete the Final Course Project Worksheet and Reflection.
Requirements: See attached | .doc file
Final Course Project Worksheet and Reflection
Complete Parts A and B below.
Part A: Final Course Project Worksheet
Part A of this worksheet provides you the opportunity to synthesize your work from the entire term into a comprehensive project. Complete each section below. You will use the information from each week throughout the class (revised in line with feedback from your instructor) to paste in the appropriate material and summary. The format of this part of the worksheet is similar to what you would find as the required structure in a peer-reviewed journal.
Project Title
[From Week 1]
Name
[Enter your name.]
Introduction
[Use this area to provide a brief introduction to your topic. Remember to use sources (Hint: Review and use the information from Week 7 Discussion 2).]
Methodology
Research Question
[from Week 1]
Null and Alternate Hypothesis
[from Weeks 1 and 2]
Independent Variables and Levels of Measurement
[from Week 1]
Dependent Variable and Levels of Measurement
[from Week 1]
Population and Sample
[Discuss the origin of your data by offering a brief background.
Also, (from Week 5) use G* Power to calculate sample size.]
Results
Descriptive Statistics
[from Week 2 and Week 3 frequency tables, histogram, mean, median, mode, etc. (Be sure to post the tables AND summarize each table and chart.)]
Measures of Variability
[from Week 4 Remember to paste the output AND summarize the results.]
Measures of Association and Tests of Significance
[from Weeks 6 and 7 Remember to paste the output AND summarize the results.]
Discussion
[Provide a 1- to 2-page overview of the results. Synthesize the findings and analyze the results as a whole.]
Conclusion
[Provide a brief conclusion discussing study implications and areas for future research.]
References
[List references according to APA guidelines.]

Part B: Reflection
Part B of this worksheet provides you with the opportunity for critical thinking and scholarly reflection. Respond to the three prompts below. You should provide a rationale and discussion for each test. You should clearly make the connection between each week of the course and how the topics build together. Be sure that your reflection is supported with references to course material.
How does the type of data drive statistical tests used?
[Enter your response here.]
Why is it important to understand the types of data, research question, hypotheses, etc. prior to determining which statistical test is most appropriate?
[Enter your response here.]
Reflect on your experience in this class. What information did you find most useful? How will you apply this information moving forward in your academic or professional life?
[Enter your response here.]
References
[List references according to APA guidelines.]
Course Project Worksheet Using Excel for Statistical Testing
Last weeks assignment required a review of various statistical tests. Earlier this week, in Discussion 1, you explored which test might be most appropriate given your chosen variables. Now is your time to practice running the statistical test and analyzing the data. Complete each of the items below:
Which statistical test (T-Test, ANOVA, Chi-Square, or Regression) did you choose for your variables?
The ANOVA tests.
Explain why you chose this test.
The ANOVA test is appropriate when one has three or more independent groups to compare the mean variance. The ANOVA output gives an F-value which tells whether there is statistical significance in the difference among the different groups (Rees, 2018).
Next, using Excel (refer to the handouts from this week for step-by-step instructions), run the statistical test you chose above and paste the output below.
Analyze the results.
The hypothesis for the test was as follows:
H0: All group means are equal.
H1: Not all group means are equal.
The results showed the average value for education was 12.93, race 1.26, and income 5.48. Furthermore, the p-value in the ANOVA table is 0 or less than 0.001. Since this value is less than the hypothesized p-value of 0.05, we reject the null hypothesis and conclude that not all the group means are equal.

Reference
Rees, D. G. (2018). Essential statistics. Chapman and Hall/CRC.