A sales series for seasonal fluctuations


Response to the following mcq's:

Product sales since 1984 are:

Year   1984  1985  1986   1987   1988   1989   1990   1991   1992

Sales   266   264    145    205     139     98         94      94     128

The least squares trend equation using the coded method is given:

Y1 = 159.22 - 21.18X, where X is set equal to 0 for 1984.

1. A set of typical seasonal indexes is very useful in adjusting say, a sales series for seasonal fluctuations. The resulting sales series is called ______________or seasonally adjusted sales.

a. Moving average
b. Linear trend equation
c. Logarithmic trend equation
d. Time series
e. Deseasonalized Sales

2. Logically, there are four typical seasonal indexes for data reported ________.

a. Per Moving average
b. Quarterly
c. Daily
d. Time Series
e. Deseasonalized Sales

3. A typical sales index of 96.0 for January indicates that sales are usually _________ the average for the year.

a. Zero average
b. 4 % above average
c. 4 % below average
d. 96 % below average
e. 14 % below average

4. It is not possible for a time series to exist without the __________component.

a. Median
b. Time
c. Mode
d. Season
e. Trend

5. What were the sales in 1988?________

a. 87.62
b. 92.31
c. 30.47
d. 112.6
e. 74.5

6. What will the sales be in 1993?______________

a. 57.62
b. 12.36
c. 21.48
d. 0
e. None of the above

7. How much did sales change per year from 1984 to 1992?_________

a. 87.62
b. 92.31
c. 30.47
d. 112.6
e. None of the above

8. What is the 3 year moving average for 1984?_____________

a. 27.62
b. 32.31
c. There are infinite answers
d. Can Not be computed
e. None of the above

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Basic Statistics: A sales series for seasonal fluctuations
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