PPT For Business Mathematics And Statistics

Slides:



Advertisements
Similar presentations
Hypothesis Testing Steps in Hypothesis Testing:
Advertisements

CmpE 104 SOFTWARE STATISTICAL TOOLS & METHODS MEASURING & ESTIMATING SOFTWARE SIZE AND RESOURCE & SCHEDULE ESTIMATING.
Correlation and regression Dr. Ghada Abo-Zaid
1 Simple Linear Regression and Correlation The Model Estimating the Coefficients EXAMPLE 1: USED CAR SALES Assessing the model –T-tests –R-square.
Chapter 4 Probability and Probability Distributions
Math notebook, pencil, and possibly calculator. Definitions  An outcome is the result of a single trial of an experiment.  The sample space of an experiment.
Sections 4.1 and 4.2 Overview Random Variables. PROBABILITY DISTRIBUTIONS This chapter will deal with the construction of probability distributions by.
1. Variance of Probability Distribution 2. Spread 3. Standard Deviation 4. Unbiased Estimate 5. Sample Variance and Standard Deviation 6. Alternative Definitions.
5 mark questions X-STD MATHEMATICS Prove That A – (B  C) = (A – B)  (A – C) A A A A A BBB B B C CC C C (1)B  C (2) A-(B  C) (3) A – B (4) A – C (5)
© 2010 Pearson Prentice Hall. All rights reserved Least Squares Regression Models.
Simple Linear Regression
SIMPLE LINEAR REGRESSION
SIMPLE LINEAR REGRESSION
Correlation and Regression Analysis
12.3 – Measures of Dispersion
Review of Probability and Binomial Distributions
Investment Analysis and Portfolio Management
So are how the computer determines the size of the intercept and the slope respectively in an OLS regression The OLS equations give a nice, clear intuitive.
SIMPLE LINEAR REGRESSION
Sets, Combinatorics, Probability, and Number Theory Mathematical Structures for Computer Science Chapter 3 Copyright © 2006 W.H. Freeman & Co.MSCS SlidesProbability.
McGraw-Hill/IrwinCopyright © 2009 by The McGraw-Hill Companies, Inc. All Rights Reserved. Chapter 4 and 5 Probability and Discrete Random Variables.
Sets, Combinatorics, Probability, and Number Theory Mathematical Structures for Computer Science Chapter 3 Copyright © 2006 W.H. Freeman & Co.MSCS SlidesProbability.
Regression Analysis (2)
3 - 1 Risk and Return in Capital Budgeting. Risk And Return of A Single Asset Risk refers to the variability of expected returns associated with a given.
Chapter 13 Statistics © 2008 Pearson Addison-Wesley. All rights reserved.
Copyright © 2013, 2010 and 2007 Pearson Education, Inc. Chapter Inference on the Least-Squares Regression Model and Multiple Regression 14.
Chapter 6 & 7 Linear Regression & Correlation
STAT 203 Elementary Statistical Methods. Review of Basic Concepts Population and Samples Variables and Data Data Representation (Frequency Distn Tables,
Chapter 4 Correlation and Regression Understanding Basic Statistics Fifth Edition By Brase and Brase Prepared by Jon Booze.
Correlation Analysis. A measure of association between two or more numerical variables. For examples height & weight relationship price and demand relationship.
Biostatistics, statistical software III. Population, statistical sample. Probability, probability variables. Important distributions. Properties of the.
Y X 0 X and Y are not perfectly correlated. However, there is on average a positive relationship between Y and X X1X1 X2X2.
Chapter 11 Correlation and Simple Linear Regression Statistics for Business (Econ) 1.
Section 1.1, Slide 1 Copyright © 2014, 2010, 2007 Pearson Education, Inc. Section 13.2, Slide 1 13 Probability What Are the Chances?
Statistics and Quantitative Analysis U4320 Segment 5: Sampling and inference Prof. Sharyn O’Halloran.
Stracener_EMIS 7305/5305_Spr08_ Reliability Data Analysis and Model Selection Dr. Jerrell T. Stracener, SAE Fellow Leadership in Engineering.
Statistical Estimation Vasileios Hatzivassiloglou University of Texas at Dallas.
Probability Theory Modelling random phenomena. Permutations the number of ways that you can order n objects is: n! = n(n-1)(n-2)(n-3)…(3)(2)(1) Definition:
1 Simple Linear Regression and Correlation Least Squares Method The Model Estimating the Coefficients EXAMPLE 1: USED CAR SALES.
+ Chapter 5 Overview 5.1 Introducing Probability 5.2 Combining Events 5.3 Conditional Probability 5.4 Counting Methods 1.
Stats Term Test 4 Solutions. c) d) An alternative solution is to use the probability mass function and.
Chapter 14 Introduction to Regression Analysis. Objectives Regression Analysis Uses of Regression Analysis Method of Least Squares Difference between.
PROBABILITY DISTRIBUTIONS DISCRETE RANDOM VARIABLES OUTCOMES & EVENTS Mrs. Aldous & Mr. Thauvette IB DP SL Mathematics.
Statistics 350 Lecture 2. Today Last Day: Section Today: Section 1.6 Homework #1: Chapter 1 Problems (page 33-38): 2, 5, 6, 7, 22, 26, 33, 34,
Chapter5 Statistical and probabilistic concepts, Implementation to Insurance Subjects of the Unit 1.Counting 2.Probability concepts 3.Random Variables.
Chapter 19 Monte Carlo Valuation. © 2013 Pearson Education, Inc., publishing as Prentice Hall. All rights reserved.19-2 Monte Carlo Valuation Simulation.
Virtual University of Pakistan
TIME SERIES ANALYSIS.
Bivariate & Multivariate Regression Analysis
Normal Distribution and Parameter Estimation
Virtual University of Pakistan
Chapter 4 Probability Concepts
Introductory Mathematics & Statistics
A Session On Regression Analysis
Chapter 5 STATISTICS (PART 4).
SUBMITTED TO: Mrs. BIKRAMJEET KAUR
Virtual University of Pakistan
1) A residual: a) is the amount of variation explained by the LSRL of y on x b) is how much an observed y-value differs from a predicted y-value c) predicts.
Chi-Square Test Dr Kishor Bhanushali.
Probability Probability underlies statistical inference - the drawing of conclusions from a sample of data. If samples are drawn at random, their characteristics.
Probability Key Questions
Significant models of claim number Introduction
SIMPLE LINEAR REGRESSION
WARM UP: Solve the equation for height for an age of 25.
Product moment correlation
SIMPLE LINEAR REGRESSION
Statistical analysis and its application
Algebra Review The equation of a straight line y = mx + b
Chapter 6: Probability.
Sets, Combinatorics, Probability, and Number Theory
Presentation transcript:

PPT For Business Mathematics And Statistics Name-Diksha Sharma Class- B.com-I (B) Roll No.-188 Submitted to- Mrs. Bikram kaur

2005 Question paper SECTION-A 1 (a) Discuss limitations of statistics.

Cont…

Cont…

(b) Write a short note on Binomial Distribution.

(c) Find the probability of drawing an ace from the set of 52 cards.

(d) Explain briefly the tests of consistency for an index number.

Cont….

Cont….

(e) Find the present value of Rs (e) Find the present value of Rs. 12000 after 5 years if the rate of interest is 12.5 % .

(f) X Co. Ltd. Offered its share at Rs. 120(i.e. 100 face value and Rs. 20 security premium). In the following year a dividend of Rs. 21% was declared by the company. Find the rate of return (interest rate) at the hands of the investor.

SECTION – B 2. From the following data construct chain base index numbers.

Cont…

3. Fit a straight line trend by the method of least squares to the following data. Assuming that the same rate of change continues, what would be the pn dicated earnings for the year2005.

4. Solve the LPP Max X=X1+2 X2 Sub to 2 X1+3 X2_<6 X1+4 X2_<4 Where X1,X2 _>0 Solution Consider above constraints as equations 2 X1 + 3 X2 = 6 X1 + 4 X2 = 4 Point of eq. (i) i.e. 2 X1 +3 X2 = 6 Let X1 = 0, eq. (i) becomes

Cont… Then 2(0) + 3 X2 = 6 X2 = 2 Let x2 = 0, eq. (i) becomes

Cont…

Cont.. So, we get points (0,2) ; (3,0) Point for eq. (ii) i.e. X1 +4 X2 = 4 Let X1 = 0, eq. (ii) becomes. 0 + 4 X2 = 4 X2 = 1 Let X2 = 0, eq. (ii) becomes X1 + 4(0) = 4 X1 = 4

Cont… This eq. gives two points (0,1) : (4,0) Z = X1 + 2 X2 p(0,0) 0 + 2(0) = 0 Z = 0 + 2(2) p( 0,2) 0 + 4 = 4 P(3,0) Z = 3 + 2(0) = 3

5. What do you mean by dispersion 5. What do you mean by dispersion ? What objects does a measure of dispersion serve ?

Cont…

6. Explain the various components of time series.

Cont…

SECTION – C 7. Write short note on : (i) sampling techniques.

(ii) Difficulties in the collection of National Income Statistics.

Cont…

8. The following are the annual premiums charged by the ICICI Prudential Life Insurance for a policy of Rs. 10,000. Calculate the premium payable at the age of 26 and at the age of 42. Use appropriate formula.

Cont…

9. A problem of Linear Programming is given to five students Mr A, Mr B, Miss C, Miss D, Mr E. There chances of solving it are ½, 1/3, ¼, 1/5, and 1/6. What is the probability that problem will b solved ?

Cont…

10. Calculate coefficient of rank correlation from the data given below:

11. Distinguish between correlation and regression 11. Distinguish between correlation and regression. Which is more useful and why ?

Cont…

2006 Question Paper.. SECTION – A 1 (i) Discuss Scope of Statistics.

Cont… Ans. 1. Statistics and the state

Cont… 2. Statistics and Business

Cont… 3. Statistics and Planning

Cont… 4. Statistics and Physical and Natural Science

Cont… 5. Statistics and Human Behaviour

(ii) Write a short note on ‘Features of a good measure of dispersion.’

(iii) Use Cramer’s Rule and solve for x,y,z the equation : 6x + y – 3z = 5 x + 3y – 2z = 5 2x + y + 4z = 8.

Cont…

(iv) A person sets up a Sinking Fund in order to have Rs (iv) A person sets up a Sinking Fund in order to have Rs. 80,000 after 10 years for his family expenditure. How much amount should be set aside biannually into an account, paying 5% p.a. compounded half yearly ?

Cont…

(v) Calculate trend values by 3 yearly moving average from the following data :

Cont…

(vi) From a standard pack of 52 cards, one card is drawn at random (vi) From a standard pack of 52 cards, one card is drawn at random. Find the probability that it is either a Red or a King.

SECTION – B 2. Define index numbers SECTION – B 2. Define index numbers. Explain briefly the nature of problems involved in the construction of index numbers. Discuss their uses.

Cont…

Cont…

Cont…

3. The first and third quartiles of the following data are given to 25 marks and 50 marks respectively, out of the data given below :

Cont…

Cont…

4. Fit a straight line trend to the following data and estimate value for 2006 : 15

5. Solve the following LPP by Simplex Method :

Cont…

Cont…

Cont…

Cont…

SECTION – C 6. (i) Discuss the properties of Normal Distribution.

Cont…

Cont…

(ii) Discuss the limitations of Industrial Statistics in India.

7. (i) Find Karl Pearson’s Co-efficient of Correlation :

Cont…

(ii) The competitors in a beauty contest are ranked by three judges in the following order :

Cont…

Cont…

8. (i) The following table shows the age(X) and blood pressure (Y) of 8 persons.

Cont…

Cont…

(ii) A set of 5 unbiased coins is tossed 3200 times and the number of heads observed at each throw is given below. Assuming that distribution follows Binomial Law, calculate expected frequencies :

THANK YOU