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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 Discussions GCU
ACCT 553 DeVry, BIAM 500 DeVry, CIS 500 STR, CIS 558 STR, ENG 105 GCU, FIN 390 DeVry, FIN 504 GCU, HCA 545 GCU, HCA 699 GCU, HLT 306 GCU, HLT 362 GCU, HLT 555 GCU, HLT 610 GCU, HLT 665 GCU, HOSP 594 DeVry, HRM 600 DeVry, MAT 144 GCU, MGMT 600, MGT 599 STR, MGT 655 GCU, MKT 373 GCU, PSY 362 GCU, PSY 565 GCU, PSY 575 GCU, PSY 665 GCU, SOC 102 GCU, SOC 320 GCU, SOC 372 GCU, SOC 412 GCU, NSG 6440 SU, HIM 515 GCU, NSG 4029 SU, HIM 615 GCU, NSG 3029 SU, NSG 4055 SU, NSG 6630 SU, NSG 6005 SU, CRMJ 310, PSY 510 GCU, CRMJ 300 Devry, CRMJ 425, SPD 200 GCU, HLT 490 GCU ,ECH 340 GCU , ECH 440 GCU , ECH 355 GCU ,ECH 350 GCU ,LDR 461 GCU ,ECH 425 GCU ,REL 212 STR ,SCI 115 STR ,CIS 505 STR ,JUS 652 GCU, MGT 640 GCU, CIS 527 STR, SOC 436 GCU,ACC 502 GCU, FIN 504 GCU , MATH 260 DeVry ,ETHC 445 DeVry ,ECET 220 DeVry , CARD 405 DeVry, NETW 203 DeVry, NETW 205 DeVry, ECET 365 DeVry ,MATH 270 DeVry ,PHYS 310 DeVry, BIB 106 GCU ,CIS 512 STR ,SYM 506 GCU ,ECN 601 GCU ,BIAM 570 DeVry, PSY 402 GCU , SOC 480 GCU , BIAM 530 DeVry, DNP 810 GCU , DNP 820 GCU , DNP 825 GCU , ECN 450 GCU , DNP 830 GCU , LDR 804 GCU , MAT 105 GCU , ECS 501 GCU , ECS 555 GCU , TSL 552 GCU , ECS 560 GCU , NRS 493 GCU , ECS 570 GCU , BUS 352 GCU
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