BUS 352 Bussiness Statistics GCU
BUS 352 Bussiness Statistics GCU
BUS 352 Bussiness Statistics GCU
BUS 352 Full Course Discussions GCU
BUS 352 Topic 1 DQ 1
Data are used in business to develop solutions and drive business results in different ways. Describe how your business or industry uses descriptive, predictive, and prescriptive analytics as part of the business. In replies to peers, provide analysis and additional alternatives to types of data used in analytics.
BUS 352 Topic 1 DQ 2
In the textbook, the videos in Chapter 2-Videos and Tutorials provide examples of basic calculations and provides you the ability to use advanced functions to better summarize data. Discuss which of the three videos you found most useful for application to your industry or field of study. Provide and explanation on how the functions would be used. In replies to peers, discuss how the video content specified by peers could be applied to your industry or field of study.
BUS 352 Topic 2 DQ 1
Watch the “Chapter 3 Introduction” video located in MindTap, which provides an overview of how to use Excel tools for calculation. Explain how the use of Excel tools and applications of the data analysis tool can increase the effectiveness and efficiency of statistical calculations. Discuss which tools you find most useful and provide an example of how you applied the tools. In replies to peers, discuss whether you agree or disagree with the assessments of peers and provide additional examples of how the tools can be applied.
BUS 352 Topic 2 DQ 2
The creation of summary information is used in businesses as part of the organization’s dashboards and key performance indicators (KPIs). Describe the types of data that are summarized for KPI dashboards in your industry or field of study, including discussion of which forms of visualization best represent the data. Provide examples to support your ideas. In replies to peers, provide additional examples that build on and support those presented by peers.
BUS 352 Topic 3 DQ 1
The binomial and Poisson distributions are two different discrete probability distributions. Explain the differences between the distributions and provide an example of how they could be used in your industry or field of study. In replies to peers, discuss additional differences that have not already been identified and provide additional examples of how the distributions can be used.
BUS 352 Topic 3 DQ 2
Chapter 5 of the textbook reviews Excel functions to calculating binomial, Poisson, and normal distributions. Identify the functions and discuss how Excel can be used to calculate probabilities of X, <X, and >X. Apply an example to at least one business scenario. In replies to peers, discuss whether you agree or disagree with the analysis provided and share additional examples of application to a business scenario.
BUS 352 Topic 4 DQ 1
Compare the different types of random sampling methods. Describe an example in which stratified sampling and cluster sampling should be used. Do not cite examples already provided by peers. In replies to peers, provide analysis and recommendations.
BUS 352 Topic 4 DQ 2
Discuss the differences between sampling and nonsampling error. Explain what can be done to reduce both when using a sample. Describe the risks that could occur when sampling error is high or nonsampling error is not considered. In replies to peers, analyze the risks compared to your own industry or field of study.
BUS 352 Topic 5 DQ 1
Explain the influence a level of significance and sample size has on hypothesis testing. Provide an example of the influence and explain how it impacts business decisions. In replies to peers, discuss whether you agree or disagree with the example provided and justify your response.
BUS 352 Topic 5 DQ 2
Evaluate how organizations can use one-sample hypothesis testing to determine if there are performance issues in the organization. Support your response with a specific example. In replies to peers, provide an additional example that supports the ideas presented.
BUS 352 Topic 6 DQ 1
Evaluate the differences between dependent and independent samples. Provide an example of each type of sample. In replies to peers, discuss whether you agree or disagree with the samples presented, and justify your opinion.
BUS 352 Topic 6 DQ 2
When evaluating a chi-square test, describe the importance of the goodness of fit test. Provide an example and explain how the test is used to evaluate the data. In replies to peers, provide additional examples not already discussed.
BUS 352 Topic 7 DQ 1
Your manager wants you to evaluate the difference in cycle time between three different offices. Describe the steps you would take in the evaluation to provide a report. In replies to peers, indicate whether you agree or disagree with the steps outlined. Justify your response using what you learned from the study materials.
BUS 352 Topic 7 DQ 2
In your own words, describe the difference between Between-Treatments (Groups) and Within-Treatments (Groups) variation. Explain how you would evaluate the variation and other methods to ensure that the data are appropriate to use for the test. Illustrate your ideas using a specific example. In replies to peers, provide additional examples to support the ideas presented.
BUS 352 Topic 8 DQ 1
Rejecting the null hypothesis that the population slope is equal to zero or no relationship and concluding that the relationship between x and y is significant does not enable one to conclude that a cause-and-effect relationship is present between x and y. Explain why. In replies to peers, provide support of the ideas presented by peers or refute the ideas by providing evidence to the contrary.
BUS 352 Topic 8 DQ 2
Discuss the statistics that must be evaluated when reviewing the regression analysis output. Provide examples of what the values represent and an explanation of why they are important. In replies to peers, discuss whether you agree or disagree with the assessment provided by peers and explain why.
BUS 352 Full Course Assignments GCU
BUS 352 Topic 2 CLC – Defining the Problem and Variables
This is a Collaborative Learning Community (CLC) assignment.
The purpose of this assignment is to define a business problem and variables, and to collect preliminary data for statistical analysis.
In this topic, you will begin a group case study assignment that will continue through Topics 2, 3, and 7. Additionally, the data collected for the assignment will also be used for an individual assignment in Topic 6. Assignments build upon one another, and it is expected that you will utilize instructor feedback provided on the Topic 2 and 3 assignments when completing the Topic 7 assignment.
Part 1:
For this assignment, your group will select one of the scenarios from the “Case Study Scenarios” topic resource. Based upon the scenario requirements, your group will complete the following steps:
- Define the problem.
- List the project objectives.
- Identify the categorical and continuous variables related to the problem.
- Conduct research to collect preliminary data based upon the scenario specifications. Data collection should include the past 6 periods (e.g., months, seasons, years).
- Using Excel and the preliminary data, create at least two related graphs. Descriptive statistics, including mean, median, skewness, standard deviation, and a five number summary are required for all continuous variables.
Part 2
Using the “Project Status Report Template, create a 500-750 word status report for your manager or project sponsor.
Submit the Excel spreadsheet and completed “Project Status Report Template.”
While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.
BUS 352 Topic 6 Benchmark – Hypothesis Testing
The purpose of this assignment is to interpret the results of hypothesis testing and identify potential ethical dilemmas associated with the statistics and their analysis.
Part 1:
Using the preliminary data collected in the Topic 2 assignment, complete two hypothesis tests relevant to the specific requirements of your scenario. To ensure tests are not duplicated, collaborate with the other members of your group to identify specifically which data each person in the group will be utilizing in the hypothesis tests. For example, if you are comparing sports teams, one member of the group might compare the Tigers and the Rams, while another member of the group might compare the Sharks and the Eagles.
Using Excel, complete the two hypothesis tests using different data sets at a .05 level of significance. Generate a box plot for each test. The accuracy of formulas and the box plot visuals will be assessed.
Part 2
Statistical analysis can create a number of ethical challenges. Review the “Ethical Guidelines for Statistical Practice,” “Statement on the Integration of Faith and Work,” and the servant leadership and conscious capitalism study materials. Consider the principle of “do no harm” and how, through application of a Christian worldview perspective, ethical challenges related to sampling methods, treatment of outliers, selection of levels, or significance can be anticipated and addressed to ensure that statistical analysis is completed effectively, efficiently, and ethically.
Provide a 750-1,000 summary of the hypothesis tests and ethical issues related to statistical analysis. The summary should address the following:
- Summary of the business scenario.
- Definition of the variables and sources.
- Rationale for the type of hypothesis tests used.
- Null and alternative hypothesis.
- Two hypothesis tests with results that include test statistic, critical value(s), and p-value.
- Box plot visuals for each hypothesis test.
- Interpretation of the statistical results of the hypothesis tests.
- Discussion of potential ethical dilemmas associated with each hypothesis test, including explanation of how the principle of “do no harm” and a Christian worldview perspective could be applied to ensure the statistical analysis was completed ethically. Include discussion of how sampling methods, treatment of outliers, selection of levels, or significance, etc. should be addressed for ethical compliance.
- Summary of the hypothesis testing results and how these can be applied to the specified business scenario.
Submit the Excel spreadsheet and Word summary document.
While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.
Benchmark Information
This benchmark assignment assesses the following programmatic competencies:
BS Business Administration
2.3: Use quantitative techniques and tools to analyze data relevant to business decision making. [MC3]
BS Business for Secondary Education
7.3: Use appropriate computer applications to perform mathematical calculations relevant to solving business problems.
BUS 352 Topic 7 CLC Final Presentation
This is a Collaborative Learning Community (CLC) assignment.
The purpose of this assignment is to present the team’s statistical findings to scenario stakeholders.
For this assignment, your group will utilize the preliminary data collected in the Topic 2 and 3 assignments and the hypothesis tests that each group member completed for the Topic 6 assignment. Considering the specific requirements of your scenario, create a 10-15 slide PowerPoint presentation that addresses the following. Include speaker notes for each slide. Include a reference slide at the end of the presentation.
- Summary of the business scenario.
- Definition of the variables and sources.
- Rationale for the type of hypothesis tests used.
- Null and alternative hypothesis.
- Summary of all group members’ hypothesis tests with results that include test statistic, critical value(s), and p-value.
- Box plot visuals for each hypothesis test.
- Interpretation of the statistic results of the hypothesis tests.
- Summary of the hypothesis testing results and how these can be applied to inform business decisions for the specified business case scenario.
When building slide content, the hypothesis testing data should be presented in a way that clearly addresses the following in the speaker notes/oral presentation:
- Describe the data tested.
- Explain which hypothesis test was done and why it was done.
- Present the box plot visual output of the hypothesis test.
- Provide an interpretation of the box plot output.
- Identify whether the results of the hypothesis test are significant and explain why.
General Requirements
While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
You are not required to submit this assignment to LopesWrite.
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