# September 2023 BUS 308 Week 1 Assignment Problem Set Week One Week One Assignment will require students to

2024 BUS 308 week 1 Assignment Assignment Help

BUS 308 Week 1 Assignment Problem Set Week One Week One Assignment will require students to 2023

BUS 308 Week 1 – Assignment Problem Set Week One Week One Assignment will require students to utilize the following resources to complete the assignment. Assignment instructions are contained within the following resources. All statistical calculations will use the Employee Salary Data Set and Week 1 assignment sheet. Grading Rubric: 1. Identifies Data Variable level and Reasons Total: 1.60 Distinguished – Performs the following: 1.Correctly identifies all variable data levels and 2. Provides correct reasoning for placing variables in the nominal, ordinal, or interval, categories. Proficient – Performs the following but misidentifies no more than three data types and/or the reasons: 1. Identifies all variable data levels and 2. Provides reasoning for placing variables in the nominal, ordinal, or interval categories. Basic – Performs the following but misidentifies no more than eight of the data types and/or the reasons: 1. Identifies variable data levels and 2. Provides reasoning for placing variables in the nominal, ordinal, or interval, categories. Below Expectations – Performs the following but misidentifies nine or more of the data types and/or the reasons: 1. Identifies variable data levels and 2. Provides reasoning for placing variables in the nominal, ordinal, or interval, categories. Non-Performance – There is either no response to problem one, or it fails to provide any correct identification and/or reasoning. 2. Generates Mean, Standard Deviation, and Range for Salary, Compa, Age, Performance Rating, and Service For the Overall Group as well as the Males and Females Separately Total: 1.60 Distinguished – Performs all of the following correctly: 1.The data necessary for computations was selected accurately. 2. Accurate results produced. 3. The results are presented in a clear format. 4. Identified which variables this function does not work properly for. Correctly calculated and displayed asked for values for all three groups. Proficient – One of the following was not done correctly: 1.The data necessary for computations was selected accurately. 2. Accurate results produced. 3. The results are presented in a clear format. 4. Identified which variables this function does not work properly for. Incorrectly calculated no more than three values. Basic – Two of the following were not done correctly: 1.The data necessary for computations was selected accurately. 2. Accurate results produced. 3. The results are presented in a clear format. 4. Identified which variables this function does not work properly for. Incorrectly calculated no more than 14 total values. Below Expectations – Three of the following were not done correctly: 1.The data necessary for computations was selected accurately. 2. Accurate results produced. 3. The results are presented in a clear format. 4. Identified which variables this function does not work properly for. Incorrectly calculated more than 15 values. Non-Performance – There is either no response to problem two, or it does not provide correct statistical outcomes as asked for. 3. Determines Probability Total: 1.60 Distinguished – Performed all the following correctly: 1.The data necessary for computations was selected accurately. 2. Data counts were correct. 3. Produced accurate results. 4. Difference in values explained clearly. Proficient – One of the following was not done correctly: 1.The data necessary for computations was selected accurately. 2. Data counts were correct. 3. Produced accurate results. 4. Difference in values explained clearly. Basic – Two of the following were not done correctly: 1.The data necessary for computations was selected accurately. 2. Data counts were correct. 3. Produced accurate results. 4. Difference in values explained clearly. Below Expectations – Three of the following were not done correctly: 1.The data necessary for computations was selected accurately. 2. Data counts were correct. 3. Produced accurate results. 4. Difference in values explained clearly. Non-Performance – There is either no response to problem three, or it does not provide probability values as asked for. 4. Finds Selected Values For Raw Scores That Cut Off the Top 1/3 of the Values Within the Selected Groups Total: 1.60 Distinguished – Performed all of the following correctly: 1.Correct raw score identified for each group. 2. Z score correctly calculated. 3. Related probability determined. 4. Interpretation presented. Proficient – No more than four errors were noted in the following: 1. Raw score identified for each group. 2. Z score calculated. 3. Related probability determined. 4. Interpretation presented. Basic – No more than eight errors were noted in the following: 1. Raw score identified for each group. 2. Z score calculated. 3. Related probability determined. 4. Interpretation presented. Below Expectations – No more than 15 errors were noted in the following: 1. Raw score identified for each group. 2. Z score calculated. 3. Related probability determined. 4. Interpretation presented. Non-Performance – There is either no response to problem four, or it fails to provide any information on z-scores, distributions and relative value of different measures asked for in the question. 5. Conclusions About the Male and Female Pay Equality Total: 1.60 Distinguished – Provides thorough and accurate conclusions about the following issues: 1. Male and female pay inequality. 2. Consistency between and among different statistical measures of equality. Proficient – Provides complete and mostly accurate conclusions about the following issues: 1. Male and female pay inequality. 2. Consistency between and among different statistical measures of equality. Basic – Provides incomplete and/or inaccurate conclusions about the following issues: 1. Male and female pay inequality. 2. Consistency between and among different statistical measures of equality. Below Expectations – Provides incomplete and inaccurate conclusions about the following issues: 1. Male and female pay inequality. 2. Consistency between and among different statistical measures of equality. Non-Performance – There is either no response to problem five, or it fails to provide any correct response to the results about males and females.