Wednesday 27 February 2019

MBA103-Statistics of Management


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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


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