BUS 308 week 5 assignment and paper
crunprProblem Set Week Five
Complete the problems included in the resources below and submit your work in an Excel document. Be sure to show all of your work and clearly label all calculations.
All statistical calculations will use the Employee Salary Data Set and the Week 5 assignment sheet.
Carefully review the Grading Rubric for the criteria that will be used to evaluate your assignment.
Description:
Total Possible Score: 8.00
1. Creates and Interprets a Correlation Table
Distinguished - Performs all of the following correctly: 1. Creates a correlation table involving all interval and ratio variables. 2. Identifies nominal and ordinal data measures that cannot be correlated using Pearson’s correlation (the correlation used in the table). 3. Identifies correlations that appear to be most related to the equal pay for equal work issue. 4. Results were presented in a clear format.
Proficient - (One of the following was not done correctly: 1. Creates a correlation table involving all interval and ratio variables. 2. Identifies nominal and ordinal data measures that cannot be correlated using Pearson’s correlation (the correlation used in the table). 3. Identifies correlations that appear to be most related to the equal pay for equal work issue. 4. Results were presented in a clear format.
Basic - Two of the following were not done correctly: 1. Creates a correlation table involving all interval and ratio variables. 2. Identifies nominal and ordinal data measures that cannot be correlated using Pearson’s correlation (the correlation used in the table). 3. Identifies correlations that appear to be most related to the equal pay for equal work issue. 4. Results were presented in a clear format.
Below Expectations - Three of the following were not done correctly: 1. Creates a correlation table involving all interval and ratio variables. 2. Identifies nominal and ordinal data measures that cannot be correlated using Pearson’s correlation (the correlation used in the table). 3. Identifies correlations that appear to be most related to the equal pay for equal work issue. 4. Results were presented in a clear format.
Non-Performance - There is either no response to problem one, or it does not provide any correct interpretation of the outcomes provided.
2. Interprets a Multiple Regression Output
Distinguished - Performs all of the following correctly: 1. Correctly rejected or did not reject the overall null hypothesis. 2. Correctly identified the coefficient null hypotheses to reject or not reject. 3. Correctly wrote out the regression equation using only the significant variables. 4. Correctly interpreted the meaning of the regression on the question of equal pay for equal work, and identified the gender getting more (if appropriate).
Proficient - One of the following was not done correctly: 1. Correctly rejected or did not reject the overall null hypothesis. 2. Correctly identified the coefficient null hypotheses to reject or not reject. 3. Correctly wrote out the regression equation using only the significant variables. 4. Correctly interpreted the meaning of the regression on the question of equal pay for equal work, and identified the gender getting more (if appropriate).
Basic - Two of the following were not done correctly: 1. Correctly rejected or did not reject the overall null hypothesis. 2. Correctly identified the coefficient null hypotheses to reject or not reject. 3. Correctly wrote out the regression equation using only the significant variables. 4. Correctly interpreted the meaning of the regression on the question of equal pay for equal work, and identified the gender getting more (if appropriate).
Below Expectations - Three of the following were not done correctly: 1. Correctly rejected or did not reject the overall null hypothesis. 2. Correctly identified the coefficient null hypotheses to reject or not reject. 3. Correctly wrote out the regression equation using only the significant variables. 4. Correctly interpreted the meaning of the regression on the question of equal pay for equal work, and identified the gender getting more (if appropriate).
Non-Performance - There is either no response to problem two, or it does not provide any correct interpretation of the outcomes provided.
3. Performs and Interprets a Regression Analysis
Distinguished - Performs all of the following correctly: 1. Set up the regression test with right data and correctly presented two sets of hypotheses. 2. Correctly rejected or not rejected both hypotheses sets for equation and individual coefficients. 3. Correctly wrote out the regression equation using only the significant variables. 4. Correctly interpreted the meaning of the regression on the question of equal pay for equal work, and identified the gender getting more (if appropriate).
Proficient - One of the following was not done correctly: 1. Set up the regression test with right data and correctly presented two sets of hypotheses. 2. Correctly rejected or not rejected both hypotheses sets for equation and individual coefficients. 3. Correctly wrote out the regression equation using only the significant variables. 4. Correctly interpreted the meaning of the regression on the question of equal pay for equal work, and identified the gender getting more (if appropriate).
Basic - Two of the following were not done correctly: 1. Set up the regression test with right data and correctly presented two sets of hypotheses. 2. Correctly rejected or not rejected both hypotheses sets for equation and individual coefficients. 3. Correctly wrote out the regression equation using only the significant variables. 4. Correctly interpreted the meaning of the regression on the question of equal pay for equal work, and identified the gender getting more (if appropriate).
Below Expectations - Three of the following were not done correctly: 1. Set up the regression test with right data and correctly presented two sets of hypotheses. 2. Correctly rejected or not rejected both hypotheses sets for equation and individual coefficients. 3. Correctly wrote out the regression equation using only the significant variables. 4. Correctly interpreted the meaning of the regression on the question of equal pay for equal work, and identified the gender getting more (if appropriate).
Non-Performance - There is either no response to this question, or it does not provide any correct interpretation of the outcomes provided.
4. Provides Conclusions Based on Weeks 1 Thru 5 Outcomes
Distinguished - Performed all of the following correctly: 1. Presented answer to the question of equal pay based on work done to date. 2. Identified, if present, differences in the outcomes. 3. Accurately explained consistency or inconsistency between outcomes. 4. Clearly explained which variable is the better to use in answering the equity question and why.
Proficient - One of the following was not done correctly: 1. Presented answer to the question of equal pay based on work done to date. 2. Identified, if present, differences in the outcomes. 3. Accurately explained consistency or inconsistency between outcomes. 4. Clearly explained which variable is the better to use in answering the equity question and why.
Basic - Two of the following were not done correctly: 1. Presented answer to the question of equal pay based on work done to date. 2. Identified, if present, differences in the outcomes. 3. Accurately explained consistency or inconsistency between outcomes. 4. Clearly explained which variable is the better to use in answering the equity question and why.
Below Expectations - Three of the following were not done correctly: 1. Presented answer to the question of equal pay based on work done to date. 2. Identified, if present differences in the outcomes. 3. Accurately explained consistency or inconsistency between outcomes. 4. Clearly explained which variable is the better to use in answering the equity question and why.
Non-Performance - There is either no response to problem four, or it does not provide any correct interpretation of the outcomes provided.
5. Discusses Limitations of Single Factor Tests in Comparison to Multiple Regression Outcomes
Distinguished - Performed all of the following correctly: 1. Identified limitation of single factor tests in situations. 2. Identified strengths of using multiple variables in analysis. 3. Identified issues around selecting an appropriate measure to use. 4. Provided at least one example of personal or work situations that could use regression to assist in understanding factor impact.
Proficient - One of the following was not done correctly: 1. Identified limitation of single factor tests in situations. 2. Identified strengths of using multiple variables in analysis. 3. Identified issues around selecting an appropriate measure to use. 4. Provided at least one example of personal or work situations that could use regression to assist in understanding factor impact.
Basic - Two of the following were not done correctly: 1. Identified limitation of single factor tests in situations. 2. Identified strengths of using multiple variables in analysis. 3. Identified issues around selecting an appropriate measure to use. 4. Provided at least one example of personal or work situations that could use regression to assist in understanding factor impact.
Below Expectations - Three of the following were not done correctly: 1. Identified limitation of single factor tests in situations. 2. Identified strengths of using multiple variables in analysis. 3. Identified issues around selecting an appropriate measure to use. 4. Provided at least one example of personal or work situations that could use regression to assist in understanding factor impact.
Non-Performance - There is either no response to this question, or it does not provide any correct interpretation of the outcomes provided.
Final Paper
The Final Paper provides you with an opportunity to integrate and reflect on what you have learned during the class.
The question to address is: “What have you learned about statistics?” In developing your responses, consider – at a minimum – and discuss the application of each of the course elements in analyzing and making decisions about data (counts and/or measurements).
The course elements include:
- Descriptive statistics
- Inferential statistics
- Hypothesis development and testing
- Selection of appropriate statistical tests
- Evaluating statistical results.
Writing the Final Paper
The Final Paper:
- Must be three to- five double-spaced pages in length, and formatted according to APA style as outlined in the Ashford Writing Center.
- Must include a title page with the following:
- Title of paper
- Student’s name
- Course name and number
- Instructor’s name
- Date submitted
- Must begin with an introductory paragraph that has a succinct thesis statement.
- Must address the topic of the paper with critical thought.
- Must end with a conclusion that reaffirms your thesis.
- Must use at least three scholarly sources, in addition to the text.
- Must document all sources in APA style, as outlined in the Ashford Writing Center.
- Must include a separate reference page, formatted according to APA style as outlined in the Ashford Writing Center.
Carefully review the Grading Rubric for the criteria that will be used to evaluate your assignment.
Description:
Total Possible Score: 14.00
Introduction: Describes the Purpose of the Paper and the Importance of Statistics
Distinguished - Provides a fully developed introduction that comprehensively describes the purpose of the paper and the importance of statistics.
Proficient - Provides an introduction that describes the purpose of the paper and the importance of statistics. Minor details are missing.
Basic - Provides a limited introduction that partially describes the purpose of the paper and the importance of statistics. Relevant details are missing.
Below Expectations - Provides and introduction that attempts to describe the purpose of the paper and the importance of statistics; however, significant details are missing.
Non-Performance - The introduction is either nonexistent or lack the components described in the assignment instructions.
Discusses the Application of Descriptive Statistics in Analyzing Data and How to Make Decisions Using Data
Distinguished - Thoroughly discusses the application of descriptive statistics in analyzing data and how to make decisions using data (counts and/or measurements). Effectively uses scholarly sources to support the discussion.
Proficient - Discusses the application of descriptive statistics in analyzing data and how to make decisions using data (counts and/or measurements). Uses scholarly sources to support the discussion. Minor details are missing.
Basic - Partially discusses the application of descriptive statistics in analyzing data and how to make decisions using data (counts and/or measurements). Minimally uses scholarly sources to support the discussion. Relevant details are missing.
Below Expectations - Attempts to discuss the application of descriptive statistics in analyzing data and how to make decisions using data (counts and/or measurements); however, does not use scholarly sources to support the discussion. Significant details are missing.
Non-Performance - The discussion of the application of descriptive statistics is either nonexistent or lacks the components described in the assignment instructions.
Discusses the Application of Inferential Statistics in Analyzing Data and how to Making Decisions Using Data
Distinguished - Thoroughly discusses the application of inferential statistics in analyzing data and how to making decisions using data (counts and/or measurements). Effectively uses scholarly sources to support the discussion.
Proficient - Discusses the application of inferential statistics in analyzing data and how to making decisions using data (counts and/or measurements).Uses scholarly sources to support the discussion. Minor details are missing.
Basic - Partially discusses the application of inferential statistics in analyzing data and how to making decisions using data (counts and/or measurements). Minimally uses scholarly sources to support the discussion. Relevant details are missing.
Below Expectations - Attempts to discuss the application of inferential statistics in analyzing data and how to making decisions using data (counts and/or measurements); however, does not use scholarly sources to support the discussion. Significant details are missing.
Non-Performance - The discussion of the application of inferential statistics is either nonexistent or lacks the components described in the assignment instructions.
Discusses the Application of Hypothesis development and Testing in Analyzing Data and how to Make Decisions Using Data
Distinguished - Thoroughly discusses the application of hypothesis development and testing in analyzing data and how to make decisions using data (counts and/or measurements). Effectively uses scholarly sources to support the discussion.
Proficient - Discusses the application of hypothesis development and testing in analyzing data and how to make decisions using data (counts and/or measurements).Uses scholarly sources to support the discussion. Minor details are missing.
Basic - Partially discusses the application of hypothesis development and testing in analyzing data and how to make decisions using data (counts and/or measurements). Minimally uses scholarly sources to support the discussion. Relevant details are missing.
Below Expectations - Attempts to discuss the application of hypothesis development and testing in analyzing data and how to make decisions using data (counts and/or measurements); however, does not use scholarly sources to support the discussion. Significant details are missing.
Non-Performance - The discussion of the application of hypothesis development and testing is either nonexistent or lacks the components described in the assignment instructions.
Discusses the Application of the Selection of Appropriate Statistical Tests in Analyzing Data and How to Make Decisions Using Data
Distinguished - Thoroughly discusses the application of the selection of appropriate statistical tests in analyzing data and how to make decisions using data (counts and/or measurements). Effectively uses scholarly sources to support the discussion.
Proficient - Discusses the application of the selection of appropriate statistical tests in analyzing data and how to make decisions using data (counts and/or measurements).Uses scholarly sources to support the discussion. Minor details are missing.
Basic - Partially discusses the application of the selection of appropriate statistical tests in analyzing data and how to make decisions using data (counts and/or measurements). Minimally uses scholarly sources to support the discussion. Relevant details are missing.
Below Expectations - Attempts to discuss the application of the selection of appropriate statistical tests in analyzing data and how to make decisions using data (counts and/or measurements); however, does not use scholarly sources to support the discussion. Significant details are missing.
Non-Performance - The discussion of the application of the selection of appropriate statistical tests is either nonexistent or lacks the components described in the assignment instructions.
Discusses the Application of Evaluating Statistical Results in Analyzing Data and How to Make Decisions Using Data
Distinguished - Thoroughly discusses the application of evaluating statistical results in analyzing data and how to make decisions using data (counts and/or measurements). Effectively uses scholarly sources to support the discussion.
Proficient - Discusses the application of evaluating statistical results in analyzing data and how to make decisions using data (counts and/or measurements).Uses scholarly sources to support the discussion. Minor details are missing.
Basic - Partially discusses the application of evaluating statistical results in analyzing data and how to make decisions using data (counts and/or measurements). Minimally uses scholarly sources to support the discussion. Relevant details are missing.
Below Expectations - Attempts to discuss the application of evaluating statistical results in analyzing data and how to make decisions using data (counts and/or measurements); however, does not use scholarly sources to support the discussion. Significant details are missing.
Non-Performance - The discussion of the application of evaluating statistical results is either nonexistent or lacks the components described in the assignment instructions.
Conclusion: Discusses New and Ideas and Concepts Learned and Explains How these Ideas Could be Used in Life and Business Situations
Distinguished - Provides a fully developed conclusion that comprehensively discusses new ideas and concepts learned and explains how these ideas could be used in life and business situations.
Proficient - Provides a conclusion that discusses new ideas and concepts learned and explains how these ideas could be used in life and business situations. Minor details are missing from the conclusion.
Basic - Provides a conclusion that discusses new ideas and concepts learned and explains how these ideas could be used in life and business situations. Relevant details are missing from the conclusion.
Below Expectations - Attempts to provide a conclusion that discusses new ideas and concepts learned and explains how these ideas could be used in life and business situations; however, significant details are missing from the conclusion.
Non-Performance - The conclusion is either nonexistent or lack the components described in the assignment instructions.
Written Communication: Control of Syntax and Mechanics
Distinguished - Displays meticulous comprehension and organization of syntax and mechanics, such as spelling and grammar. Written work contains no errors and is very easy to understand.
Proficient - Displays comprehension and organization of syntax and mechanics, such as spelling and grammar. Written work contains only a few minor errors and is mostly easy to understand.
Basic - Displays basic comprehension of syntax and mechanics, such as spelling and grammar. Written work contains a few errors which may slightly distract the reader.
Below Expectations - Fails to display basic comprehension of syntax or mechanics, such as spelling and grammar. Written work contains major errors which distract the reader.
Non-Performance - The assignment is either nonexistent or lacks the components described in the instructions.
Written Communication: APA Formatting
Distinguished - Accurately uses APA formatting consistently throughout the paper, title page, and reference page.
Proficient - Exhibits APA formatting throughout the paper. However, layout contains a few minor errors.
Basic - Exhibits limited knowledge of APA formatting throughout the paper. However, layout does not meet all APA requirements.
Below Expectations - Fails to exhibit basic knowledge of APA formatting. There are frequent errors, making the layout difficult to distinguish as APA.
Non-Performance - The assignment is either nonexistent or lacks the components described in the instructions.
Written Communication: Page Requirement
Distinguished - The length of the paper is equivalent to the required number of correctly formatted pages.
Proficient - The length of the paper is nearly equivalent to the required number of correctly formatted pages.
Basic - The length of the paper is equivalent to at least three quarters of the required number of correctly formatted pages.
Below Expectations - The length of the paper is equivalent to at least one half of the required number of correctly formatted pages.
Non-Performance - The assignment is either nonexistent or lacks the components described in the instructions.
Written Communication: Resource Requirement
Distinguished - Uses more than the required number of scholarly sources, providing compelling evidence to support ideas. All sources on the reference page are used and cited correctly within the body of the assignment.
Proficient - Uses the required number of scholarly sources to support ideas. All sources on the reference page are used and cited correctly within the body of the assignment.
Basic - Uses less than the required number of sources to support ideas. Some sources may not be scholarly. Most sources on the reference page are used within the body of the assignment. Citations may not be formatted correctly.
Below Expectations - Uses an inadequate number of sources that provide little or no support for ideas. Sources used may not be scholarly. Most sources on the reference page are not used within the body of the assignment. Citations are not formatted correctly.
Non-Performance - The assignment is either nonexistent or lacks the components described in the instructions.
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