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.

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.

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.

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.

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.