• Review the chapters in the Saldaña text found in this week’s Learning Resources.
• Review the Introduction to Coding and From Content to Coding media programs in the Learning Resources.
• Refer back to your observational field notes from the Scholars of Change Videos from Weeks 1–4. 
• Choose one of the four Scholars of Change videos and refer to your field notes from your observation. 
• Access the transcript you downloaded for the media program of the Scholars of Change video you selected for this Discussion.
• Begin to code the transcript and the observational field notes of the Scholar of Change Video you chose. (Note: You will only need one or two codes for this Discussion, although more are acceptable.)
• Post a brief description of the video you chose. Next, include an example of one or two codes and provide quotes from your notes or transcript to support your example. Finally, explain your reasoning for this coding.

Be sure to support your main post and response post with reference to the week’s Learning Resources and other scholarly evidence in APA style.

Saldaña, J. (2016). The coding manual for qualitative researchers (3rd ed.). Thousand Oaks, CA: Sage Publications.

• Chapter 1, “An Introduction to Codes and Coding” (pp. 1–42) 
• Chapter 2, “Writing Analytic Memos About Narrative and Visual Data” (pp. 43–65)

Laureate Education (Producer). (2016). Introduction to coding [Video file]. Baltimore, MD: Author.

Laureate Education (Producer). (2016). From content to coding [Video file]. Baltimore, MD: Author.

 

Unit 6: Tests of Significance Discussion 

Please complete the following steps for your first discussion post and response.

Watch the video, Tests of Significance (Tests of Significance, 2013).

In the video, you observed the value of statistics in determining the authorship of a newly discovered poem.  Consider the video and review your course readings on statistical significance, and then select a situation in your life or career where statistics could be used to answer questions. Examples could include authorship, quality of products, or health issues. After making a selection:

• Describe the situation and the question(s) you would hope to answer using statistical tests.
• Write a null hypothesis for your question(s).
• Assume you conducted your statistical tests and were able to reject the null hypothesis.  How would you interpret the results?
• Discuss whether statistical significance would mean you should change the way you approach your situation. (For example, if a new drug on the market lowered blood pressure by 2 percent and this difference was found statistically significant, would it be worth using the new drug?)

Please be sure to validate your opinions and ideas with citations and references in APA format. Estimated time to complete: 2 hours. This topic is valued at 40 points. Please review post and response expectations. Please review the rubric to ensure that your response meets criteria (Read me First Section of the Course). Cite any resources/references in APA formatting that were used in the discussion-if applicable.

References:

Tests of Significance: Against All Odds: Inside Statistics [Video file]. (2013). Retrieved August 1, 2017, from https://fod.infobase.com/PortalPlaylists.aspx?wID=104861&xtid=111536

 

Competency

Given a real-life application, develop a hypothesis test for a population parameter and its interpretation.

Instructions

Scenario (information repeated for deliverable 01, 03, and 04)

A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:

• A listing of the jobs by title
• The salary (in dollars) for each job

In prior engagements, you have already explained to your client about the basic statistics and discussed the importance of constructing confidence intervals for the population mean. Your client says that he remembers a little bit about hypothesis testing, but he is a little fuzzy. He asks you to give him the full explanation of all steps in a hypothesis testing and wants your conclusion about a claim that the average salary for all jobs in the state of Minnesota is less than $75,000.

Background information on the Data

The data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.

What to Submit

Your boss wants you to submit the spreadsheet with the completed calculations. Your research and analysis should be present within the answers provided on the worksheet.

 

Assignment 1:Discussion Question

This module covered the following topics:

• The Language of Association and Prediction
• Pearson Correlation
• The Correlation Matrix
• Simple Regression
• Multiple Regression

By the due date assigned, please post the questions you have about any of the above topics to the Discussion Area. Identify the specific topic and ask a clear, succinct question. Indicate where in the module, text, or WebEx demo your question occurs. This includes technical terms, equations, results, or interpretations.

Then, review your fellow students’ questions. Is there anything you can clarify for them? Are you also confused about the same topic? Post your comment to at least two other students by through the end of the module. (The instructor will also expand and clarify.)

All written assignments and responses should follow APA rules for attributing sources.

Assignment 1 Grading CriteriaMaximum PointsPresented a clear and thoughtful question or comment.7Used vocabulary relevant to the current module's topics.3Participated in the discussion by asking a question, providing a statement of clarification, providing a point of view with rationale, challenging a point of discussion, or making a relationship between one or more points of the discussion. 7Justified ideas and responses by using appropriate examples and references from texts, Web sites, and other references or personal experience.2Submitted on time, and wrote in a clear, concise, and organized manner; demonstrated ethical scholarship in accurate representation and attribution of sources, displayed accurate spelling, grammar, and punctuation.1Total:20Rubrics 

Review for important Steps in Hypothesis Tests. 

1. Set up Ho and Ha, where Ha is usually the research hypothesis. 

2. Choose an a, called significance level, which is customarily set as 5%. 

a=5% means that you allow yourself up to 5% of chance of making a wrong decision by rejecting Ho. 

3. Calculate test statistics. This step can be done by SPSS or other software. 

4. Find P-value of your Test. 

You may need to adjust the figure from the output if it is done by SPSS. 

P-value is the sampling chance of making a wrong decision by rejecting Ho. 

5. Make a decision. Universal Decision Rule for hypothesis tests: 

If P < a, reject Ho. If P > a, fail to reject Ho. 

6. Interpret your conclusion. 

Rejecting Ho means you can conclude that the research hypothesis is true. 

Fail to reject Ho means we don’t have enough evidence to prove that Ha is true

1) Find a (or multiple) data set online 

2) Form your research questions 

3) Using statistical software to analyze the data and answer your research questions. 

4) Need to do all five type of problems, namely, Chi-square; independent-samples t test; paired-samples t; ANOVA and Regression. (All except t tests have to have a small p-value.) 

5) Summarize each problem by mention the link of online data, list all important part of the procedure used and include outputs as attachment or insert it into the report. datalink you can use http://www.stat.ufl.edu/~winner/datasets.html