BUS 308 ASH Tutorial / bus308dotcom

BUS 308 Entire Course (Ash Course)BUS 308 Week 1 Assignment Problems 1.2, 1.17, 3.3 & 3.22
BUS 308 Week 1 DQ 1 Performance Report
BUS 308 Week 1 DQ 2 The Empirical Rule vs. Chebyshev Theorem
BUS 308 Week 1 Quiz (10 MCQ)
BUS 308 Week 2 Assignments Problems 4.4, 4.20, 5.12, 6.22(a)
BUS 308 Week 2 DQ 1 Relative Frequency
BUS 308 Week 2 DQ 2 Applications for Probability
BUS 308 Week 2 Quiz (10 MCQ)
BUS 308 Week 3 Assignments Problems 7.11, 7.30, 8.8, 8.38
BUS 308 Week 3 DQ 1 Unscientific Sampling
BUS 308 Week 3 DQ 2 Article Review
BUS 308 Week 3 Quiz (10 MCQ)
BUS 308 Week 4 Assignments Problems 9.13, 9.22, 12.10, 12.18(a)
BUS 308 Week 4 DQ 1 Hypothesis Test
BUS 308 Week 4 DQ 2 Creating Hypotheses
BUS 308 Week 4 Quiz (10 MCQ)
BUS 308 Week 5 DQ 1 Linear Correlation
BUS 308 Week 5 DQ 2 Quality Control
BUS 308 Week 5 Final Part I – Excel
BUS 308 Week 5 Final Part II Analysis Paper on gas prices……………………………………………..BUS 308 Week 5 Final Part II Analysis Paper on gas pricesImagine that you are a manager at a delivery service and you are creating a report toproject the effects on your company of rising gas prices in the next ten years.
Using thepreceding statistical analysis as your basis and outside scholarly resources to support yourclaims,
write a 3 to 5 page paper interpreting the results from this perspective. Include thefollowing considerations:
1. Introduce the project and its significance to the company.
2. Explain the statistical analysis that you completed in Part I. Be sure to explain wherethe data came from, what analysis was done, and what the results were.3. Give conclusions that you have drawn from the data. Consider the effects of your gasprice predictions on the delivery business. Also consider whether or not you believe yourpredicted gas prices are accurate. What could occur in the future that would change yourlinear regression line and therefore your prediction?…