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?…