techniques, Applied Statistics

Assignment Help:
Q. 1 a) Describe the important quantitative techniques used in public system management. (10)
b) Do you think the day will come when all decisions are made with the assistance of quantitative methods? Give appropriate reasons and examples in support of your answer. (10)

Q. 2 a) Solve using Gauss-Jordan elimination (10)
2x1 + 4x2 -10x3 = -2
3x1 +9x2 - 21X3 = 0
x1 + 5x2 -12x3 = 1
b) Solve the following system equation by Cramer’s rule (10)
X1 + X2 = -1
2X1 - X2 = 7

Q. 3 a) Discuss basic concepts of a matrix and the methods of representing large quantities of data in matrix form. How can we apply matrix algebra in various decision models in business and management? (20)
b) In an economy there are two sectors A and B, the following table gives the supply and demand position of these in million rupees;

Producer Consumer Final Demand Gross Output
A B
A 15 10 10 35
B 20 30 15 65






Determine the total output, if the demand changes to 12 for A and 18 for B.
Q. 4 The following data pertain to the demand for a product in thousand of units and price charged I in rupees in eight different locations. (20)
PRICE DEMAND
14 150
12 180
15 112
13 140
18 86
15 124
9 223










a) Obtain the line of best fit.
b) Determine the coefficient of correlation
c) Interpret your results
d) Predict the demand if the price is Rs.10.

Q. 5 What are the best sources of data collection for the following? (20)
a) A bank loan officer wishes to forecast the economy of the country in which the bank operates.
b) A research project has the purpose of identifying the labor issues of concern to a union.
c) A manager must determine the best site for a convenience store in an urban area.
d) Median weekly earnings of full-time salaried workers for the range 1995-2000.
e) Annual sales of the top ten fast-food companies.
f) Number of airplane trips made by college students.

Related Discussions:- techniques

Logistic regression model, A marketing research firm was engaged by an auto...

A marketing research firm was engaged by an automobile manufacturer to conduct a pilot study to examine the feasibility of using logistic regression for ascertaining the likelihood

Regression, Regression line drawn as Y=C+1075x, when x was 2, and y was 239...

Regression line drawn as Y=C+1075x, when x was 2, and y was 239, given that y intercept was 11. calculate the residual

Modified distribution mathod, a b c d e supply p 3 4 6 8 8 20 q 2 6 0 5 8...

a b c d e supply p 3 4 6 8 8 20 q 2 6 0 5 8 30 r 7 11 20 40 3 15 s 1 0 9 14 6 13 d 15 3 12 10 20

Measurement error models., how can we use measurement error method with eig...

how can we use measurement error method with eight responses variables (we do not have explanatory variable in the data )?.the data analyse 521 leaves ..

Analysis of covariance (ancova), Analysis of covariance (ANCOVA) It is ...

Analysis of covariance (ANCOVA) It is initially used for an expansion of the analysis of variance which permits to the possible effects of continuous concomitant variables (suc

#title. .explanatory factor analysis, how to compute reliability coefficien...

how to compute reliability coefficient for extracted factors in factor analysis?

Calculation for continuous series or grouped data, Calculation for Continuo...

Calculation for Continuous Series or Grouped Data = where, m = mid-point of class   =

Weighted harmonic mean, Weighted Harmonic Mean Weighted Harmonic ...

Weighted Harmonic Mean Weighted Harmonic Mean is calculated with the help of the following formula: WHM Case

Utility function, The decision maker ranks lotteries according to the utili...

The decision maker ranks lotteries according to the utility function (i) State the independence assumption. Does this decision maker satisfy it? (ii) Is this decision ma

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd