FALL-2018
Get
solved assignments at nominal price of Rs.125 each.
Any
issues mail us at: subjects4u@gmail.com or contact at
08219081362
Master
of Business Administration - MBA Semester 1
MBA103-Statistics of Management
Set - 1
Q1. Explain the concept of inferential
statistics and how it is different from Descriptive statistics.
(Inferential statistics
Descriptive statistics)
Answer. : Inferential
statistics use a random sample of data taken from a population to describe and
make inferences about the population. Inferential statistics are valuable when
examination of each member of an entire population is
Q2. Marks obtained by 50 students are
given below.
Marks
|
10-20
|
20-30
|
30-40
|
40-50
|
50-60
|
60-70
|
70-80
|
No.
Of Students
|
2
|
8
|
6
|
14
|
3
|
10
|
7
|
Calculate the median.
Calculation of Median
Answer. Median= L+
{[(N/2-F)/f] x h}
Q3. Define Regression analysis.
Differentiate between Correlation Coefficient and Regression Coefficient.
(Explanation of Regression Analysis
Difference between Correlation and
Regression Coefficient)
Answer. Regression analysis
Regression
analysis is used to estimate the values of the dependent variables from the
values of the independent variables. Regression analysis is used to get a
measure of the error involved while using the
Set - 2
Q1. What is Business Forecasting? Point
out its objectives and Differentiate among Prediction, Projection and
Forecasting.
Meaning of business forecasting
Objectives of business forecasting
Meaning of Prediction, Projection and
Forecasting
Answer. Business Forecasting
Business
forecasting refers to the analysis of past and present economic conditions with
the object of drawing inferences about probable future business conditions. The
process of making definite
Q2. From the following data fit the
straight line and predict the production for 2017 & 2018.
Years
|
2009
|
2010
|
2011
|
2012
|
2013
|
2014
|
2015
|
Production
(In Tonnes)
|
8
|
12
|
13
|
17
|
25
|
22
|
30
|
Fitting of straight line
Forecast for 2017
Forecast for 2018
Answer.
Q3. . For four commodities following
figures are given
2014 2016
Commodity
|
Price
|
Quantity
|
Price
|
Quantity
|
A
|
25
|
6
|
28
|
5
|
B
|
28
|
7
|
25
|
8
|
C
|
12
|
15
|
10
|
20
|
D
|
35
|
4
|
40
|
3
|
Considering 2014 as base construct the
following Index Numbers for 2016, construct
i. Laspeyre’s Index Number
ii. Paasche’s Index Number
iii. Dorbish and Bowley’s Index Number
iv. Fisher’s Index Number
Answer.
FALL-2018
Get
solved assignments at nominal price of Rs.125 each.
Any
issues mail us at: subjects4u@gmail.com or contact at
08219081362
No comments:
Post a Comment