Unit 3: Demand Estimation - Practice Quiz

DEECO515 60 Questions
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1 What does demand estimation primarily involve for a firm?

relevance of demand estimation for a firm Easy
A. Quantifying the relationship between demand and its determinants
B. Reducing the total cost of production
C. Increasing the number of employees hired
D. Setting the highest possible price for a product

2 Why is demand estimation important for a firm's production planning?

relevance of demand estimation for a firm Easy
A. It eliminates all business risk permanently
B. It helps decide how much output to produce
C. It reduces taxes payable to the government
D. It fixes wages of workers automatically

3 Demand forecasting mainly helps a firm to predict:

relevance of demand estimation for a firm Easy
A. Employee attendance records
B. Future demand for its products
C. The exact inflation rate of a country
D. Past profits of competitors

4 Which of the following business decisions is directly supported by demand estimation?

relevance of demand estimation for a firm Easy
A. Inventory and stock management
B. Deciding the CEO's personal schedule
C. Choosing the office wall colour
D. Selecting the company logo font

5 Demand estimation assists in pricing decisions because it reveals:

relevance of demand estimation for a firm Easy
A. The color preferences of employees
B. The salary structure of managers
C. The location of raw material suppliers
D. How sensitive demand is to price changes

6 Qualitative forecasting methods rely mainly on:

demand forecasting using qualitative forecast and time series analysis Easy
A. Expert opinions and judgment
B. Random number generation
C. Complex regression equations
D. Large historical numerical datasets

7 The Delphi method is an example of which type of forecasting?

demand forecasting using qualitative forecast and time series analysis Easy
A. Time series forecasting
B. Barometric forecasting
C. Regression forecasting
D. Qualitative forecasting

8 Which method involves asking a panel of experts and reaching consensus through repeated anonymous questionnaires?

demand forecasting using qualitative forecast and time series analysis Easy
A. Delphi method
B. Exponential smoothing
C. Simple moving average
D. Trend projection

9 A time series is a set of data arranged in order of:

demand forecasting using qualitative forecast and time series analysis Easy
A. Time
B. Price
C. Alphabet
D. Size

10 Which of the following is a component of a time series?

demand forecasting using qualitative forecast and time series analysis Easy
A. Marginal cost
B. Elasticity
C. Trend
D. Consumer surplus

11 The long-term general movement of data in a time series is called the:

demand forecasting using qualitative forecast and time series analysis Easy
A. Trend
B. Noise
C. Cycle
D. Season

12 Regular fluctuations that repeat within a year, such as higher ice-cream sales in summer, are called:

demand forecasting using qualitative forecast and time series analysis Easy
A. Trend variations
B. Random variations
C. Seasonal variations
D. Cyclical variations

13 Wave-like fluctuations that occur over periods longer than a year, linked to business booms and recessions, are called:

demand forecasting using qualitative forecast and time series analysis Easy
A. Secular variations
B. Seasonal variations
C. Trend variations
D. Cyclical variations

14 Unpredictable, irregular changes in a time series caused by events like floods or strikes are known as:

demand forecasting using qualitative forecast and time series analysis Easy
A. Cyclical variations
B. Random (irregular) variations
C. Trend variations
D. Seasonal variations

15 The moving average method in time series analysis is mainly used to:

demand forecasting using qualitative forecast and time series analysis Easy
A. Smooth out short-term fluctuations
B. Eliminate all future demand
C. Increase random noise in data
D. Calculate marginal revenue

16 In the consumer survey method of forecasting, information is collected by:

demand forecasting using qualitative forecast and time series analysis Easy
A. Applying exponential smoothing formulas
B. Fitting a regression line to sales data
C. Directly asking consumers about buying intentions
D. Analyzing years of production records

17 Which of the following is a qualitative forecasting technique?

demand forecasting using qualitative forecast and time series analysis Easy
A. Exponential smoothing method
B. Least squares trend method
C. Sales force opinion method
D. Moving average method

18 The trend line fitted using the least squares method takes the general form:

demand forecasting using qualitative forecast and time series analysis Easy
A.
B.
C.
D.

19 Which forecasting approach is most suitable when there is no historical data for a brand-new product?

demand forecasting using qualitative forecast and time series analysis Easy
A. Time series analysis
B. Trend projection method
C. Moving average method
D. Qualitative methods

20 Accurate demand estimation helps a firm reduce:

relevance of demand estimation for a firm Easy
A. The risk of wrong decisions
B. The number of customers permanently
C. The demand for its goods
D. The quality of its products

21 A firm launching a new product wants to decide on plant capacity for the next five years. Which use of demand estimation is MOST directly relevant to this decision?

relevance of demand estimation for a firm Medium
A. Choosing the office layout for the sales team
B. Long-term production planning and capacity investment
C. Setting the daily cash register float
D. Deciding the color of product packaging

22 Why is accurate demand estimation particularly important for a firm holding perishable inventory?

relevance of demand estimation for a firm Medium
A. It removes the need to advertise the product entirely
B. It increases the shelf life of the product automatically
C. It guarantees a fixed selling price throughout the year
D. It minimizes losses from spoilage due to over-stocking while avoiding stock-outs

23 A manager uses demand estimates to schedule raw material purchases and labor shifts for the coming quarter. This reflects the role of demand estimation in:

relevance of demand estimation for a firm Medium
A. Corporate tax filing
B. Long-run merger strategy
C. Brand trademark registration
D. Short-term operational planning

24 Which statement BEST explains how demand estimation supports pricing decisions?

relevance of demand estimation for a firm Medium
A. It eliminates competition from the market
B. Knowing the price elasticity of demand helps the firm predict how a price change affects quantity sold and total revenue
C. It replaces the need for a marketing department
D. It fixes the cost of production regardless of output

25 A firm entering a brand-new market with no historical sales data would MOST appropriately use which forecasting approach?

demand forecasting using qualitative forecast and time series analysis Medium
A. Qualitative methods such as expert opinion or Delphi
B. Least-squares trend line
C. Exponential smoothing
D. Moving average of past sales

26 In the Delphi method, why are experts kept anonymous during the rounds of questioning?

demand forecasting using qualitative forecast and time series analysis Medium
A. To reduce the influence of dominant personalities and group pressure on the responses
B. To avoid the need for multiple survey rounds
C. To speed up the mathematical calculations
D. To lower the cost of hiring the experts

27 A time series is typically decomposed into four components. Which of the following is NOT one of them?

demand forecasting using qualitative forecast and time series analysis Medium
A. Seasonal variation
B. Elasticity
C. Trend
D. Cyclical variation

28 Sales of umbrellas rise sharply every monsoon and fall in dry months, repeating each year. This pattern is an example of which time series component?

demand forecasting using qualitative forecast and time series analysis Medium
A. Secular trend
B. Seasonal variation
C. Irregular variation
D. Cyclical variation

29 The following are quarterly sales (in units): 40, 44, 48, 52. Using a 4-quarter simple moving average, the forecast for the next period is:

demand forecasting using qualitative forecast and time series analysis Medium
A. 48
B. 52
C. 46
D. 44

30 In exponential smoothing, the forecast for the next period is . What does a smoothing constant close to 1 imply?

demand forecasting using qualitative forecast and time series analysis Medium
A. The forecast reacts strongly to recent actual demand
B. The forecast ignores recent demand completely
C. The forecast equals the long-run trend line
D. The forecast is a simple unweighted average

31 Given the last forecast , actual demand , and smoothing constant , the exponential smoothing forecast for the next period is:

demand forecasting using qualitative forecast and time series analysis Medium
A. 120
B. 106
C. 110
D. 114

32 A least-squares trend line estimated from annual data is , where in the base year. The forecast sales for is:

demand forecasting using qualitative forecast and time series analysis Medium
A. 260
B. 290
C. 215
D. 306

33 Which situation reflects the cyclical component of a time series rather than the seasonal component?

demand forecasting using qualitative forecast and time series analysis Medium
A. Higher ice-cream sales each summer
B. A multi-year swing in car sales linked to the general expansion and recession of the economy
C. A jump in gift sales every December
D. Increased toy sales during festival weeks

34 A major limitation of the simple moving average method for demand forecasting is that it:

demand forecasting using qualitative forecast and time series analysis Medium
A. Requires no historical data at all to compute
B. Automatically adjusts for seasonal factors
C. Gives equal weight to all periods and lags behind sharp turning points in demand
D. Predicts turning points before they occur

35 The "survey of buyers' intentions" method of forecasting is classified as which type of technique?

demand forecasting using qualitative forecast and time series analysis Medium
A. Qualitative
B. Barometric
C. Econometric
D. Time series

36 How does reliable demand estimation help a firm control its inventory costs?

relevance of demand estimation for a firm Medium
A. It removes the need to store any inventory
B. It allows the firm to align stock levels with expected sales, reducing both carrying and shortage costs
C. It converts fixed costs into variable costs
D. It fixes supplier prices for the whole year

37 In the "sales force composite" method, forecasts are built by:

demand forecasting using qualitative forecast and time series analysis Medium
A. Using leading economic indicators to signal turning points
B. Applying exponential smoothing to past sales
C. Fitting a regression line to national income data
D. Aggregating estimates made by field salespeople about their territories

38 Annual sales grow by a roughly constant amount each year over a long period with no reversals. This long-run movement is best captured by which time series component?

demand forecasting using qualitative forecast and time series analysis Medium
A. Seasonal variation
B. Irregular variation
C. Cyclical variation
D. Secular trend

39 A one-time drop in sales caused by an unexpected flood that closed the factory would be recorded in a time series as:

demand forecasting using qualitative forecast and time series analysis Medium
A. Seasonal variation
B. Trend
C. Cyclical variation
D. Irregular (random) variation

40 A firm wants a short-run forecast that responds quickly to recent demand shifts using minimal past data. Which method is most suitable?

demand forecasting using qualitative forecast and time series analysis Medium
A. Survey of buyers' intentions
B. Delphi method
C. Exponential smoothing
D. Long-run least-squares trend projection

41 A firm fits a multiplicative time series model . If the trend value for Q3 is , the seasonal index for Q3 is , and the cyclical relative is , what is the deseasonalized-and-detrended cyclical-adjusted expected value (ignoring the irregular component)?

demand forecasting using qualitative forecast and time series analysis Hard
A.
B.
C.
D.

42 In the ratio-to-moving-average method, a quarterly seasonal index is computed as . If the sum of the four raw quarterly indices is instead of , what is the adjusted index for that quarter?

demand forecasting using qualitative forecast and time series analysis Hard
A.
B.
C.
D.

43 A linear trend is fitted using coded time where at 2020. The multiplicative seasonal index for Q2 is . What is the forecast for Q2 of 2024 if increments by 1 per year and the annual trend must be divided across quarters equally?

demand forecasting using qualitative forecast and time series analysis Hard
A.
B.
C.
D.

44 Using exponential smoothing with , the forecast for period was and actual demand was . Applying the same smoothing constant, what is the forecast error's contribution to the next forecast?

demand forecasting using qualitative forecast and time series analysis Hard
A. A decrease of from the prior forecast
B. An increase of over the prior forecast
C. An increase of over the prior forecast
D. An increase of over the prior forecast

45 A firm compares two exponential smoothing models with and . During a period of sudden, sustained level shift in demand, which statement is most accurate?

demand forecasting using qualitative forecast and time series analysis Hard
A. Both models converge to the new level at the same speed
B. adapts faster and is more stable
C. adapts faster but produces noisier forecasts under random fluctuation
D. smooths out random noise more effectively

46 A firm with high fixed costs and long production lead times most critically depends on accurate demand estimation primarily because:

relevance of demand estimation for a firm Hard
A. It allows the firm to raise prices above the competitive level
B. Forecast errors translate into costly excess capacity or stockouts that cannot be quickly corrected
C. It eliminates the need for inventory management entirely
D. It guarantees that marginal cost equals marginal revenue

47 In the Delphi method, why is controlled feedback with anonymity considered superior to a face-to-face expert panel for demand forecasting?

demand forecasting using qualitative forecast and time series analysis Hard
A. It replaces subjective judgment with statistical regression
B. It removes the need for multiple forecasting rounds
C. It reduces bandwagon effects and dominance by high-status individuals while retaining information exchange
D. It always produces a single unanimous point estimate

48 A 4-period centered moving average is used on quarterly data. Why must the average be centered (using a 2-step averaging of successive 4-quarter means) rather than used directly?

demand forecasting using qualitative forecast and time series analysis Hard
A. Centering removes the trend component from the series
B. Centering doubles the effective sample size
C. A raw 4-period average overweights the most recent quarter
D. A 4-period average falls between two quarters, so centering realigns it to a specific quarter

49 Given the semi-log trend model , what is the estimated compound growth rate of demand per period?

demand forecasting using qualitative forecast and time series analysis Hard
A. Exactly
B.
C.
D.

50 Two forecasting models yield the following errors over 4 periods: Model A , Model B . Comparing on MAD, which is preferred and why?

demand forecasting using qualitative forecast and time series analysis Hard
A. Model B (MAD ) beats Model A (MAD )
B. Model A because its errors sum closer to zero
C. Both have identical MAD of
D. Model A (MAD ) beats Model B (MAD )

51 A firm's demand series shows errors that consistently under-forecast (positive errors accumulate). Which tracking measure best detects this bias, and what does it reveal that MAD hides?

demand forecasting using qualitative forecast and time series analysis Hard
A. The variance reveals persistent under-forecasting
B. The tracking signal (cumulative error / MAD) reveals systematic bias that MAD cannot
C. The coefficient of determination reveals the seasonal pattern
D. MAPE reveals the direction of error

52 A firm estimates demand elasticity to guide pricing. It finds . If it wrongly treats demand as elastic and cuts price to boost revenue, the likely outcome is:

relevance of demand estimation for a firm Hard
A. Total revenue stays constant regardless of the price cut
B. Total revenue rises because quantity increases sharply
C. Total revenue falls because demand is inelastic
D. Marginal revenue becomes positive and revenue rises

53 A least-squares linear trend is fitted with coded time so that . Given , , , and , what is the fitted trend equation?

demand forecasting using qualitative forecast and time series analysis Hard
A.
B.
C.
D.

54 Why can extrapolating a fitted time-series trend far into the future be dangerous even when the historical fit () is very high?

demand forecasting using qualitative forecast and time series analysis Hard
A. Extrapolation always produces negative values eventually
B. Trend models cannot include a seasonal component
C. It assumes the underlying structural relationships remain unchanged, which may fail
D. A high guarantees the wrong slope

55 A quadratic trend is estimated (coded time). At what value of does forecasted demand peak, and what is the peak value?

demand forecasting using qualitative forecast and time series analysis Hard
A. Peak at , value
B. Peak at , value
C. Peak at , value
D. Peak at , value

56 For a firm launching a genuinely new product with no historical sales data, which forecasting approach is most defensible and why?

relevance of demand estimation for a firm Hard
A. Naive time series extrapolation of the launch month
B. Qualitative methods such as market surveys and expert opinion, since no time series exists
C. A centered moving average of competitor prices
D. Exponential smoothing initialized at zero

57 A firm uses a weighted moving average with weights (most recent to oldest) on demand ordered oldest to newest. What is the forecast for the next period?

demand forecasting using qualitative forecast and time series analysis Hard
A.
B.
C.
D.

58 Under the additive time series model versus the multiplicative model , which situation favors the multiplicative form?

demand forecasting using qualitative forecast and time series analysis Hard
A. When seasonal swings grow proportionally as the trend level rises
B. When seasonal swings are constant in absolute size regardless of level
C. When there is no trend at all
D. When the irregular component dominates

59 A demand series has actual and forecast pairs giving absolute percentage errors of over four periods. What is the MAPE, and what is its key interpretive limitation here?

demand forecasting using qualitative forecast and time series analysis Hard
A. MAPE ; it can be distorted when any actual value is small
B. MAPE ; it ignores the sign of errors only
C. MAPE ; it is dominated by the maximum error
D. MAPE ; it is scale-dependent

60 A manager argues that because demand estimation is always subject to error, the firm should abandon forecasting and simply react to realized demand. The strongest counterargument is:

relevance of demand estimation for a firm Hard
A. Estimation errors always cancel out over time
B. Forecasting eliminates all uncertainty in the market
C. Even imperfect forecasts reduce the expected cost of capacity, inventory, and procurement decisions made under lead times
D. Reacting to realized demand guarantees zero holding cost