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Fall-2013
Bachelor of
Business Administration - BBA Semester 1
BBA104–Quantitative
Techniques in Business-2 Credits
(Book ID: B1500)
Assignment
(60 Marks)
Note: Answers
for 10 marks questions should be approximately of 400 words. Each question is
followed by evaluation scheme. Each Question carries 10 marks 3 X 10=30.
Q1. What do you mean by Measures of
Central Tendency? Explain the Measures of Central Tendency.
Answer. Central tendency (or, more commonly, a measure of
central tendency) is a central value
or a typical value for a probability distribution. It is occasionally called an
average or just the center of the distribution. The most common measures of
central tendency are the arithmetic mean, the median and the mode. A central
tendency can be calculated for either a finite set of values or for a
theoretical distribution, such as the normal distribution. Occasionally authors
use central tendency (or centrality), to mean "the tendency of
quantitative data to cluster around some central value,” This meaning might be
Q2. Briefly explain the following:
a) Cumulative frequency distribution
b) Pie Chart
c) Bar Chart
d) Histogram
e) Frequency polygon.
Answer. (a) Cumulative frequency
distribution
A cumulative
frequency distribution is a summary of a set of data showing the frequency (or
number) of items less than or equal to the upper class limit of each class.
This definition holds for quantitative data and for categorical (qualitative)
data (but only if the latter are ordinal - that is, a natural order of items is
specified).
A cumulative
frequency distribution is the sum of the class and all classes below it in a
frequency distribution. Rather
Q3. a. Explain the methods of
determining trend in time series.
b. Fit a straight line trend by
method of least squares to the following data:
|
Year
|
2000
|
2001
|
2002
|
2003
|
2004
|
|
Production (in lakhs)
|
4
|
6
|
9
|
10
|
11
|
Answer. (a) Trend:
The trend is
the long-term movement of a time series. Any increase or decrease in the values
of a variable occurring over a period of several years gives a trend. If the values of a variables remain statutory
over several years, then no trend can be observed in the time series. To study
the growth in industrial production from the
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