**Multiple Choice Questions for November’ 2018:**

**Unit – 1: Average and Dispersion**

Q. Calculation of
GM, HM, AM from 5,3,3,1,3,3,4,1,0

Q. Define sample
and census.

Q. Define pie
chart and bar diagram.

Q. What is
frequency distribution table?

Q. Which is best
measure of dispersion (SD) and best measure of central tendency (Mean)?

Q. Range = H – L

Q. Q

_{2}= 1/2(Q_{1}+ Q_{3})
Q. SD of two
given numbers = 1/2 (H – L)

Q. SD of natural
number = square root of (n

^{2}- 1)/12
Q. If SD of X is
5 then SD of 2x – 1 and 4x/2 + 1 will be: 10 in each case.

**Unit – 2: Correlation and Regression**

Q. Range of
correlation = +1 to -1.

Q. Increase on
prices and selling of products = Negative correlation

Q. Age of
husbands and wives = Positive correlation

Q. Intelligence
and size of shoe = No correlation

Q. Karl Pearson’s
coefficient of correlation measures QUANTITATIVE DATA.

Q. Spearmen’s
Rank correlation measures QUALITATIVE DATA.

Q. r is the GM of
two regression coefficients.

Q. There is only
one line if r =

__+__1.
Q. Regression
lines will be parallel if r = 0.

Q. No of
regression lines: 2

Q.
Two regression lines intersect at the respective mean of X and Y.

**Unit – 3: Index Number**

1. Only Fisher’s
index number is the ideal index number which satisfied time reversal and factor
reversal test.

2. Fisher’s index
is the GM of Laspeyre’s and Paasche’s index number.

3. Base year
index = 100

4. P

_{01}x P_{10}= 1 or P_{0n}x P_{n0}= 1
5. P

_{01}x Q_{01}= Value index number
6. Net monthly
income of an employee was Rs.800 pm in 1980. The consumer price index number
was 160 in 1980. It rises to 200 in 1984. Calculate DA and his wages.

Ans: DA =
40/160*800 = 200 and his wages should be = 200/160*800 = 1000

7. Index number
in 2000 is 140 which increase to 200 in 2010. What does it mean?

Ans:
It means prices are increased by 60% in 2010 as compared to 2000.

**Unit – 4: Time Series Analysis**

Q. Examples of
irregular variation: Flood, fire, strike, lockout, earthquake, hot wave in
winter, rain in desert.

Q. Examples of
seasonal variation: sale of woolen clothes during winter, decline in ice-cream
sales during winter, demand of TV during international games.

Q. Examples of
cyclical variation: Recession, Boom, Depression, Recovery, balancing of demand
and supply.

Q. Examples of
Trend or secular trend: Increase in demand of two wheeler, decrease on death
rate due to advancement of medical science, increase in food production due to
increase in population.

Q. Multiplicative
model: T.C.S.I and Additive model: T + C + S + I. here T = Secular Trend, C =
Cyclical trend, S = Seasonal variation and I = Irregular variation.

Q. Short term
forecasting = Seasonal trend and long term forecasting = Secular trend.

Q.
Y = TCSI (Multiplicative model) or T + C + S + I (Additive model).

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