Time estimates Expected Variance Activity Optimistic Most Likely Pessimistic Time (ET) (σ²) a m b A 31 40 49 B 44 50 56 C 48 60 72 Ꭰ 22 31 34 A C Start End B Ꭰ
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- What is the estimated expected (mean) time (in days) for activity C?
What is the estimated expected (mean) time (in days) for activity C?
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- Hi , I already know the meaning of descriptive , predictive and prescriptive. However , I have not read the whole case and I have no idea what are the approach the researchers have taken for these 39 A survey can provide insight about why a certain demographic makes a particular decision. True FalseParaphase this one. Make it longer. Predictive analytics is the process of using data to forecast future outcomes. The process uses data analysis, machine learning, artificial intelligence, and statistical models to find patterns that might predict future behavior. Organizations can use historic and current data to forecast trends and behaviors seconds, days, or years into the future with a great deal of precision.
- Business analytics can be of three types: descriptive, predictive, and prescriptive. Describe each of those. Imagine you are a data analyst in FedRetail, an online retail shop. Your manager wants a forecast of the sell in the upcoming Christmas season. What kind of analysis you should do to find out your manager's query? Explain.A restaurant owner is interested in studying how the cheerfulness of the waitstaff can influence how much the customers tip the waitstaff. On Monday, she instructs the waitstaff to be extremely cheerful (over-the-top friendly, excessive smiling, etc). On Wednesday, she instructs the waitstaff to be moderately cheerful (somewhat friendly). On Friday, she instructs the waitstaff to not be cheerful at all. She found that customers tipped more on the low friendliness day than on the days that they were moderately or extremely cheerful. 1. What is the independent variable for Scenario C? 2. How many levels are there for the independent variable in Scenario C? 3. What is the dependent variable for Scenario C? 4. What is the confound for Scenario C 5. How could the confound be fixed in Scenario C?Which of the following is the simplest and most often used method for predicting the future performance of a candidate for promotion? A) prior performance B) aptitude tests C) assessment centers D) psychological exams E) seniority
- You have been requested by your boss to provide a regression analysis. Upon presentation your boss is unhappy with your work. You are instructed to do more work and return when you have lower cost estimates for labor hours. Your initial analysis covered a 3 year period and by dropping 3 of months from the middle of the analysis period you are able to reduce labor hours to a “boss acceptable” amount. Did you do something unethical?Among the various objectives and benefits of such things as Business Analytics, Business Intelligence, and Decision Support are A. to detect problems and opportunities early enough to take effective action B. to combine the best features of people and computers in order to improve problem-solving and decision-making C. to predict the outcomes of alternative choices D. all of the above E. none of the aboveJames is a Wells Fargo employee. His manager saw him parking illegally in a loading zone once, so he assumes James must have engaged in fraudulent account activity. Which of the following perceptual errors did his manager make? A) contrast effect B) central tendency C) halo effect D) leniency E) recency effect
- What is Budget Vs. Actual? Why is it Important? What Causes the Variance? What is the implication of having a good variance-analysis in the company?(10 sentences)The following question is related to compensation management please justify your answer using compensation management theories and examples. Monty Python, the CEO of LeSTA resigned in 2016 after an internal investigation revealed that he had backdated his own stock options. The company’s internal investigation indicated that the CEO conspired with the LeSTA’s Finance Officer to alter the dates of his stock option grants between 2007 and 2015. As a result of the backdating, the company needed to restate more than three years of financial results and as a consequence, incurred an additional compensation expense of more than $41 million. Despite the scandal and ongoing investigation at the time of his departure, the terms of the CEO’s employment agreement provided him with the ability to collect as much as $175 million in severance, pension and stock. Because of the backdated options scandal, the company (LeSTA) adopted a new policy, which required all stock option grants and the terms of…I really need help with the formulas to get the answers. Thanks! Case Study 2: Forecasting Lost Sales The Carlson Department Store suffered heavy damage when a hurricane struck on August 31, 2013. The store was closed for four months (Sept – Dec 2013) and Carlson is now involved in a dispute with its insurance company concerning the amount of lost sales during the time the store was closed. Two key issues must be resolved: The amount of sales Carlson would have made if the hurricane had not struck; and Whether Carlson is entitled to any compensation for excess sales from increased business activity after the storm More than $8 billion in federal disaster relief and insurance money came into the county, resulting in increased sales at department stores and numerous other businesses. The table below shows the sales data for the 48 months preceding the storm. The following table reports total sales for the 48 months preceding the storm for all department stores in the county, as well…