Forecasting - Marketing aptitude questions

Forecasting - Marketing aptitude questions

Q1. What measures the total errors in a forecast?

(1) Tracking signal
(2) Mean square error
(3) Cumulative forecast error
(4) Mean absolute deviation
(5) None of these

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Q2. Easy, quick, not much math, opinion from all over the firm are integrated usually inexpensive are the advantages of

(1) Moving average
(2) Trend projection
(3) Jury of executive opinion
(4) Survey of buyers opinion
(5) None of these

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Q3.The maximum possible sales by all the seller in specific territory and for a given time is called

(1) Sales potential
(2) Sales forecast
(3) Market potential
(4) Sales quota
(5) None of these

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Q4. Which of the following penalize large errors?

(1) Tracking signal
(2) Mean square error
(3) Cumulative forecast error
(4) Mean absolute deviation
(5) None of these

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Q5. Maximum possible sales by one company in specific territory for a given time is called

(1) Sales potential
(2) Sales forecast
(3) Market potential
(4) Sales quota
(5) Market index

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Q6._______________________ method is valued as most important to marketing manager

(1) Survey of buyer intension
(2) Trend projection
(3) Moving average
(4) Jury of executive opinion
(5) None of these

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Q7. Which is the measure of any bias in the forecast?

(1) Tracking signal
(2) Mean square error
(3) Cumulative forecast error
(4) Mean absolute deviation
(5) None of these

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Q8. _________________________results are used to predict the future sales of any new product.

(1) Test market
(2) Time series projection
(3) Naïve method
(4) Moving average
(5) Trend projection

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Q9. Which of the following should be possible reason for error in sales forecasting?

(1) Insufficient data
(2) Administrative error
(3) Change in economic structure
(4) Technological changes
(5) All of the above

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Q10. Which of the following should be employed for assessing the accuracy of sales forecast?

(1) Comparison with total sales.
(2) Comparison with actual change in total sales.
(3) Comparison with other forecast techniques
(4) All of the above
(5) None of these

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Q11.Actual sales estimate by one company in specific territory for a given time under a proposed marketing plan and under stated marketing environmental assumptions is called

(1) Sales potential
(2) Sales forecast
(3) Market potential
(4) Sales quota
(5) Market index

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Q12. Which of the following forecasting technique is used with only one variable?

(1) Simple correlation
(2) Multiple correlation
(3) Multiple regression
(4) Simple regression
(5) None of these

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Q13.Which of the following is oldest approach of forecasting?

(1) Jury of executive opinion
(2) Delphi technique
(3) Sales force composite
(4) Survey of buyer’s intentions
(5) Factor listing

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Q14. Sales goal assigned to an individual or group in specific territory for a given time is called

(1) Sales potential
(2) Sales forecast
(3) Market potential
(4) Sales quota
(5) Market index

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Q15. Which method is used for long range projections?

(1) Jury of executive opinion
(2) Delphi technique
(3) Sales force composite
(4) Survey of buyer’s intentions
(5) Factor listing

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Q16. Which among the following is level of sales forecasting?

(1) Product by product
(2) Technical
(3) Managerial
(4) Non-seasonal
(5) None of these

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Q17.Which of the following is associated with qualitative method?

(1) Continuity extrapolation
(2) Time series analysis
(3) Exponential smoothing
(4) Econometric models
(5) Delphi technique

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Q18. A market factor expressed as a percentage relative to some base figure in a territory for a given time is called

(1) Sales potential
(2) Sales forecast
(3) Market potential
(4) Sales quota
(5) Market index

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Q19. In which of the following the projection of last increment of sales change into the future?

(1) Time series analysis
(2) Exponential smoothing
(3) Continuity extrapolation
(4) Multiple regression analysis
(5) Regression and correlation analysis

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Q20. Eco metric model is summarized as?

(1) Exponential smoothing
(2) Continuity extrapolation
(3) Multiple regression analysis
(4) Regression and correlation analysis
(5) Input-output model

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Q21. Which of the following is the source of data for forecasting?

(1) Sales force estimate
(2) POS data system
(3) Supply chain partners
(4) Industry association journals
(5) All of the above

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Q22.Each salesperson estimate their territory by the consultation of their supervisor and individual forecasts are combined and adjusted for each office is characteristic of

________________________________forecasting sales.

(1) Quantitative
(2) Non- Quantitative
(3) Mathematical
(4) Survey
(5) None of these

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Q23. On which measure the forecasting model work?

(1) Tracking signal
(2) Mean square error
(3) Cumulative forecast error
(4) Mean absolute deviation
(5) None of these

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Q24. Which of the following is best suited for short term forecasting?

(1) Time series analysis
(2) Exponential smoothing
(3) Continuity extrapolation
(4) Multiple regression analysis
(5) Regression and correlation analysis

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Q25.Which of the following gives the forecast about the estimation that actually company is expecting?

(1) Market share
(2) Sales potential
(3) Market potential
(4) All of the above
(5) None of these

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Q26.What is MDSS?

(1) Management Decision Support System
(2) Marketing Development Support System
(3) Marketing Decision Support System
(4) Marketing Development Service System
(5) Marketing Decision Service System

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Q27.Sales forecasting procedure involves?

(1) Preparing a forecast of general economic condition.
(2) Preparing a forecast of industry sales.
(3) Preparing a forecast of product sale.
(4) Preparing a forecast of company sales.
(5) All of the above.

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Q28. Which of the following is concerned with time series analysis?

(1) Sales = T*C*S*I
(2) Sales =T*S*Q*P
(3) Sales = P*G*D*H
(4) Sales = J*T*S*R
(5) None of these

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Q29.Which of the following uses the process of iteration to arrive at the forecasting relationship?

(1) Leading indicator
(2) Diffusion model
(3) Simulation
(4) Zee chart
(5) Time series

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Q30.An element exists in the market, may be measured quantitatively and is related to demand for a product is called

(1) Sales potential
(2) Sales forecast
(3) Market potential
(4) Market factor
(5) Market index

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Q31. Which of the following forecasts limited and well defined group of buyers?

(1) Jury of executive opinion
(2) Delphi technique
(3) Sales force composite
(4) Survey of buyer’s intentions
(5) Factor listing

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Q32. Which of the following is concerned with sales forecasting?

(1) Market potential
(2) Sales potential
(3) Market share
(4) All other above
(5) None of these

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Q33. Which of the following is done either on absolute or percentage basis?

(1) Time series analysis
(2) Exponential smoothing
(3) Continuity extrapolation
(4) Multiple regression analysis
(5) Regression and correlation analysis

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Q34. Which of the following is associated with casual techniques of forecasting?

(1) Diffusion model
(2) Moving averages
(3) Exponential smoothing
(4) Time series
(5) Zee chart

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Q35.Qualitative method depends upon?

(1) Scientific methods.
(2) Mathematical techniques.
(3) Statistical techniques.
(4) Opinions and judgments.
(5) None of these.

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Q36.Short term forecasting is used to formulate?

(1) Production
(2) Human resource
(3) Sales plan
(4) All of the above
(5) None of these
(6) None of these

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Q37.Percentage of the market captured by any company or product is known as

(1) Market share
(2) Company share
(3) Product share
(4) Sales share
(5) None of these

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Q38.Which of the following is best for long term company forecast?

(1) Time series analysis
(2) Exponential smoothing
(3) Continuity extrapolation
(4) Multiple regression analysis
(5) Regression and correlation analysis

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Q39.Which of the following does not concerned with time series analysis?

(1) Moving averages
(2) Exponential smoothing
(3) Time series
(4) Zee chart
(5) Bayesian decision theory

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Q40.Which of the following gives us better idea about sale of goods or services in the market for given time period?

(1) Market potential
(2) Sales potential
(3) Market share
(4) All other above
(5) None of these


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Q41. Which among the following act as ingredients for forecasting?

(1) The sales pipeline
(2) The past data
(3) Data from the field
(4) Managers institutions
(5) All of these

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Q42.Market potential depends upon which factor

(1) Ability to buy
(2) mood to buy
(3) Market trend
(4) Need of market
(5) None of these

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Q43.What is the categories where sales influences fall?

(1) Seasonal changes
(2) Cyclical changes
(3) Trends
(4) Irregular changes
(5) All of these

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Q44.Extrapolate simple trends same as last year and in same percentage is the characteristic of ___________________

(1) Fitting a trend line
(2) Moving averages
(3) Trend projections
(4) Exponential smoothing
(5) Correlation regression

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Q45. Buyers don’t know what they are going to do between desires and reality, buyer may consider the information confidential, surveys are expensive and time consuming are the disadvantages

of ____________________________.

(1) Jury of executive opinion
(2) Survey of buyers intention
(3) Opinion and judgment
(4) Sales force composite
(5) All of these

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Q46.____________________ is the amount of money available for a definite period, which is based on the expenditure during that period and proposal for financing the budget.

(1) Sales budget
(2) Revenue
(3) Marketing budget
(4) Sales force budget
(5) None of these

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Q47.Which forecast were used by the contemporary business organization.

(1) Economic forecast
(2) Technological forecast
(3) Demand forecast
(4) All of the above
(5) None of these

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Q48. ______________________ is the first stage for creating sales forecast.

(1) Market share
(2) Market demand
(3) Market potential
(4) Sales potential
(5) None of these

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Q49. Which forecasting is required in operations management?

(1) Product portfolio
(2) Identify labor requirement
(3) Predicting demand of new and existing product
(4) Developing production schedule
(5) Creating maintenance schedule

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Q50. Which is associated with Tausal model?

(1) Naive forecast
(2) Simple moving averages
(3) Exponential smoothing
(4) Multiple linear regression
(5) Time series decomposition

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