Daily study time of high school students of a school.O Primary dataO Secondary data

Answer:- Option 1 is correct Primary data Data's normally acquired for a specific research…

Answered: Daily study time of high school…

Understanding Business

12th Edition

ISBN:9781259929434

Author:William Nickels

Publisher:William Nickels

Chapter1: Taking Risks And Making Profits Within The Dynamic Business Environment

Section: Chapter Questions

Problem 1CE

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Source Available at: http://panmore.com/walmart-inventory-management [Accessed 18 July 2022] Reading the above, it becomes clear that good inventory management and forecasting can deliver supply chain success for and could ultimately lead to profitability and growth. In a report you are required to evaluate the importance of forecasting for Walmart Your report, must include but is limited to the following: • The importance of forecasting to Walmart. • Examine if a combination of both qualitative and quantitative forecasting may be best suited. • Argue the relevance of cloud-based forecasting for Walmart. NB: • The marks allocated next to each concept in the rubric below should serve only as a guide to the depth your discussion should cover. Your answer should be a minimum of 1 200 to a maximum of 1 500 words. Markers are to stop marking after the threshold of 1 500 words (two-and-a-half to three pages) has been reached. Please indicate the word count at the end of your answer. • You…
2.1 Forecasting plays an important role in logistics planning, differentiate between quantitative and Qualitative forecasting methods. 2.2 Organisations often use various forecasting techniques depending on the objectives they seek to attain.Explain the following forecasting techniques.
What are some of the common Business Statistics used in Excell for Hospitality Management?
A dry cleaner uses exponential smoothing to forecast equipment usage at its main plant. August usage was forecasted to be 88 percent of capacity; actual usage was 89.6 percent of capacity. A smoothing constant of .1 is used. a. Prepare a forecast for September. b. Assuming actual September usage of 92 percent, prepare a forecast for October usage.
14.5. For the data in Exercise 14.4, use an a of 0.1 to make a forecast for July F Ft-1 + 0.1(At-1-Ft-1) Months January 15 February 18 March 22 23 27 26 April May June Demand Smoothing unit (At) (St) July 15 15.3 15.97 16.67 17.7 18.53 Forecast for July= 18.53 Forecast (Ft) 15 15.3 15.97 16.67 17.7 18.53
Daily time series data are collected forAetna stock closing values (referencedto 100). a) Use exponential smoothing withsmoothing constant 0.4 to completethe table. b) Forecast the next Aetna stock closingvalue and find the boundaries forvalues within 1 MAE of the forecast.t Yt Ft et1 4.09 2 6.073 5.404 7.485 8.31
Assume that the data in columns A and B report the new constructions of residential homes, per month, in thousands, from 2015 to 2020 in the state of Oregon. a) Chart the data. Discuss any apparent trend and seasonal patterns. b) Use the "Tahoe Salt" method with linear trend to forecast new constructions for the 12 months of 2021. c) Add your model values and forecast to the data chart. d) Compute the MAD of your model. e) Compute and plot the tracking signal in a new chart. f) Discuss the quality of this model. What is the flagrant flaw? g) Suggest an approach that would yield better results in terms of forecast values, MAD, and tracking signal. An appropriate narrative argument is sufficient (i.e., one or two sentences). You do not need to do calculations for this part.
Divvy Bikes 2021 summer ridership has increased 30% from the ridership levels in 2020. Divvy's management attributes this to 2020 having fewer work places and recreation venues were open than in 2021. This is an example of which type of data analytics? Question 6 options: a) Descriptive b) Diagnostic c) Predictive d) Prescriptive
Please explain the calculation to get get the answers in the column provided?!
Forecasts are generally wrong.a. Why are forecasts generally wrong?
Font Paragraph Styles Question 3 Consider the following from an estate agent's business nationally: Month Houses Sold Jan Feb Mar 380 360 390 Apr May June July Aug Sep Oct 400 390 380 394 454 460 460 Nov Dec 430 370 a) Calculate the three point moving averages (quarters) and seasonal variation for the above data b) Define moving averages and how they're useful in forecasting (use Harvard referencing) c) At races, your horse, White Rum, has a probability of 1/20 of coming 1st, 1/10 of coming 2nd and a probability of 4 in coming 3rd. First place pays $5,000 to the winner, second place $4,000 and third place $1,350. Hence, is it worth entering the race if it costs $1050?
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Daily study time of high school students of a school. O Primary data O Secondary data