Chapter 7, Problem 2.2C

Please assist

Sales for the past 12 months at computer success are given here: January 3,000      July 6,300 february 3,400      August 7,200 March 3,700         Sept 6,400 April 4,100            Oct 4,600 May 4,700            Nov 4,200 June 5,700           December 3,900 a. Use a 3-month moving average to forecast the sales for the months May through December b. Use a 4-month moving average to forecast the sales for the months May through December C. Compare the performance of the two methods by using the mean absolute deviation as the performance criterion. Which method would you recommend? d. Compare the performance of the two methods by using the mean absolute percent error as the performance criterion. Which method would you recommend? e. Compare the performance of the two methods by using the mean squared error as the performance criterion. Which method would you recommend?

The article "New Product Blockbusters: The Magic And Science Of Prediction Markets" by Teck-Hua Ho and Kay-Yut Chen discusses the use of prediction markets to forecast the success of new products. The authors argue that prediction markets, which allow participants to buy and sell shares in the outcome of an event, can provide more accurate predictions than traditional methods such as surveys or expert opinions. The authors first explain the principles behind prediction markets and how they can be used to predict the success of new products. They then present several case studies where prediction markets were used to forecast the success of new products, including a video game, a movie, and a new flavor of soda. The authors found that prediction markets were consistently more accurate than traditional methods in predicting the success of new products. They also found that prediction markets could be used to identify potential issues with new products before they are launched, allowing…

Sales of tablet computers at Marika Gonzalez's electronics store in Washington, D.C., over the past 10 weeks are shown in the table below: 4 Week 1 Demand 20 5 6 7 24 29 35 8 9 10 22 24 28 36 a) The forecast for weeks 2 through 10 using exponential smoothing with a = 0.60 and a week 1 initial forecast of 20.0 are (round your responses to two decimal places): 8 Week 1 Demand 20 Forecast 20.0 2 3 20 29 6 7 29 35 22 2 20 3 29 4 36 5 24 9 10 24 28

Solve the problem using the answer sheet (Problem 1) SOLVE STEP BY STEP PLEASE

Following are two weekly forecasts made by two different methods for the number of gallons of gasoline, in thousands, demanded at a local gasoline station. Also shown are actual demand levels, in thousands of gallons: Week 1 2 3 4 Forecast Method 1 0.85 1.05 0.95 1.22 Actual Demand 0.70 1.05 0.96 0.97 Week 1 2 3 4 The mean squared error (MSE) for Method 2 = Forecast Method 2 0.82 1.19 0.92 1.17 Actual Demand 0.70 1.05 0.96 0.97 The MAD for Method 1 = thousand gallons (round your response to three decimal places). The mean squared error (MSE) for Method 1= thousand gallons² (round your response to three decimal places). The MAD for Method 2 = thousand gallons (round your response to three decimal places). thousand gallons (round your response to three decimal places).

The post-closing trial balance of Bendit Traders on 29 February 2016 included the following balances: $ Bank (CR balance) 60,000 Debtors control 80,000 Creditors control 100,000 Accrued expenses 14,000 Petty cash 2,000 Accrued income 6,000 Income received in advance 4,000 Prepaid expenses 8,000 Current portion of long-term borrowings 40,000 The current liabilities of Bendit Traders on 29 February 2016 amount to: A. $218,000 B. $158,000 C. $178,000 D. None of the above

The table below summarizes September 20223 financial performance by two market segments. The dates highlighted in orange indicate occupancy higher than 90% Please find the correct statement about the data analysis based on the table. Market segment 1 shows pattern of peak on Weekdays. Market segment 2 shows a pattern of peak on Weekends. Based on the demand pattern, Market Segment 2 could be leisure travelers. Most guests in the market segment 2 are less price sensitive than those in the market segment 1.

A forecaster is assessing two different models for demand. The output from each model and the actual demand data appears in the table. Use MAD to compare the two models. Which model does a better job of forecasting? Demand Model 1 52 52 54 56 60 56 58 58 52 57 53 57 Model 2 21 55 54.7 51.9 54.5 52.0 53.8 55.8 59.6 56.4 52 53.5 53.5 55.5 56.5 57.5 57.8 58.0 58.0 56.0 52.6 56.3 56.6 55.0 53.4 O Model 2 is 9% better O Model 1 is 8% better O Model 2 is 15% better O Model 1 is 5% better