STATISTICS AND BUSINESS MATHEMATICS B.com-1 Regular Annual Examination 2015

Similar documents
STATISTICS AND BUSINESS MATHEMATICS B.com-1 Private Annual Examination 2015

MTH302 Long Solved Questions By

Centers at Malleshwaram Rajajinagar Yelahanka Mathikere

BOARD QUESTION PAPER : JULY 2017 ALGEBRA

Essential Learning Outcomes for Algebra 2

Confidence Intervals, Testing and ANOVA Summary

Lesson One Hundred and Sixty-One Normal Distribution for some Resolution


MIDTERM EXAMINATION (Spring 2011) STA301- Statistics and Probability

Fundamental Probability and Statistics

COVENANT UNIVERSITY NIGERIA TUTORIAL KIT OMEGA SEMESTER PROGRAMME: ECONOMICS

MTH 302 long questions solved by Pisces girl My Lord! Increase me in knowledge.

DSST Principles of Statistics

Bemidji Area Schools Outcomes in Mathematics Algebra 2A. Based on Minnesota Academic Standards in Mathematics (2007) Page 1 of 6

Name: Geometry & Intermediate Algebra Summer Assignment

VTU Edusat Programme 16

STAT 135 Lab 6 Duality of Hypothesis Testing and Confidence Intervals, GLRT, Pearson χ 2 Tests and Q-Q plots. March 8, 2015

Lecture Testing Hypotheses: The Neyman-Pearson Paradigm

INSTITUTE OF ACTUARIES OF INDIA

(a) Write down the value of q and of r. (2) Write down the equation of the axis of symmetry. (1) (c) Find the value of p. (3) (Total 6 marks)

Quantitative Introduction ro Risk and Uncertainty in Business Module 5: Hypothesis Testing

Bemidji Area Schools Outcomes in Mathematics Algebra 2 Applications. Based on Minnesota Academic Standards in Mathematics (2007) Page 1 of 7

MockTime.com. (b) 9/2 (c) 18 (d) 27

Chapter 7: Hypothesis Testing

Worksheet Topic 1 Order of operations, combining like terms 2 Solving linear equations 3 Finding slope between two points 4 Solving linear equations

Note: Solve these papers by yourself This VU Group is not responsible for any solved content. Paper 1. Question No: 3 ( Marks: 1 ) - Please choose one

The Hong Kong University of Science & Technology ISOM551 Introductory Statistics for Business Assignment 4 Suggested Solution

GURU GOBIND SINGH PUBLIC SCHOOL SECTOR V/B, BOKARO STEEL CITY

STA301- Statistics and Probability Solved Subjective From Final term Papers. STA301- Statistics and Probability Final Term Examination - Spring 2012

Review of Statistics

STAT 285: Fall Semester Final Examination Solutions

Business Statistics. Lecture 10: Correlation and Linear Regression

MTH302 Quiz # 4. Solved By When a coin is tossed once, the probability of getting head is. Select correct option:

SLOW LEARNERS MATERIALS BUSINESS MATHEMATICS SIX MARKS QUESTIONS

9. DISCRETE PROBABILITY DISTRIBUTIONS

CPT Solved Scanner (English) : Appendix 71

6.6 General Form of the Equation for a Linear Relation

MIT Arts, Commerce and Science College, Alandi, Pune DEPARTMENT OF STATISTICS. Question Bank. Statistical Methods-I

Statistics Primer. ORC Staff: Jayme Palka Peter Boedeker Marcus Fagan Trey Dejong

Master s Written Examination - Solution

Concepts in Statistics

Background to Statistics

Section 4.6 Simple Linear Regression

Glossary. The ISI glossary of statistical terms provides definitions in a number of different languages:


Problems. Suppose both models are fitted to the same data. Show that SS Res, A SS Res, B

Coefficient of Determination

Chapter 5 : Probability. Exercise Sheet. SHilal. 1 P a g e

Study Ch. 9.3, #47 53 (45 51), 55 61, (55 59)

Lecture 11: Simple Linear Regression

IB STANDARD LEVEL MATHEMATICS FINAL REVIEW

6.4 Type I and Type II Errors

i=1 Pr(X 1 = i X 2 = i). Notice each toss is independent and identical, so we can write = 1/6

MAT135 Review for Test 4 Dugopolski Sections 7.5, 7.6, 8.1, 8.2, 8.3, 8.4

Regression - Modeling a response

Test Code: STA/STB (Short Answer Type) 2013 Junior Research Fellowship for Research Course in Statistics

SIDDHARTH GROUP OF INSTITUTIONS :: PUTTUR. Siddharth Nagar, Narayanavanam Road QUESTION BANK

Frequentist Statistics and Hypothesis Testing Spring

Introduction to Statistical Data Analysis Lecture 7: The Chi-Square Distribution

Applied Regression Modeling: A Business Approach Chapter 2: Simple Linear Regression Sections

Conditional Probability. CS231 Dianna Xu

Notes 6 Autumn Example (One die: part 1) One fair six-sided die is thrown. X is the number showing.

6. For any event E, which is associated to an experiment, we have 0 P( 7. If E 1

Semester 2 Final Exam Review Guide for AMS I

MATHEMATICS: PAPER I

Final Exam STAT On a Pareto chart, the frequency should be represented on the A) X-axis B) regression C) Y-axis D) none of the above

Statistics Primer. A Brief Overview of Basic Statistical and Probability Principles. Essential Statistics for Data Analysts Using Excel

MICHIGAN STANDARDS MAP for a Basic Grade-Level Program. Grade Eight Mathematics (Algebra I)

550 = cleaners. Label the managers 1 55 and the cleaners Use random numbers to select 5 managers and 45 cleaners.

CLASS XI Maths : Sample Paper-1

MockTime.com. NDA Mathematics Practice Set 1.

Discrete Random Variables. Discrete Random Variables

Bus 216: Business Statistics II Introduction Business statistics II is purely inferential or applied statistics.

Math 2000 Practice Final Exam: Homework problems to review. Problem numbers

STAT 3A03 Applied Regression With SAS Fall 2017

Correlation and Regression

Lesson 9 Exploring Graphs of Quadratic Functions

Chapter 8. Equation: Calculus: Differentiation CALCULUS

LECTURE 5 HYPOTHESIS TESTING

Correlation and Simple Linear Regression

Business Statistics. Lecture 3: Random Variables and the Normal Distribution

Big Data Analysis with Apache Spark UC#BERKELEY

Student Guide: Chapter 1

DETAILED CONTENTS PART I INTRODUCTION AND DESCRIPTIVE STATISTICS. 1. Introduction to Statistics

MA : Introductory Probability

Variance. Standard deviation VAR = = value. Unbiased SD = SD = 10/23/2011. Functional Connectivity Correlation and Regression.

Probability. VCE Maths Methods - Unit 2 - Probability

EC212: Introduction to Econometrics Review Materials (Wooldridge, Appendix)

Business Statistics: Lecture 8: Introduction to Estimation & Hypothesis Testing

Lectures 5 & 6: Hypothesis Testing

Functions of One Variable

DO NOT OPEN THIS TEST BOOKLET UNTIL YOU ARE ASKED TO DO SO

Maths-III. Important Types in Maths III. Prepared By : Sameer V. shaikh { }

( ) 2 + ( 2 x ) 12 = 0, and explain why there is only one

Assignments in Mathematics Class IX (Term 2) PROBABILITY IMPORTANT TERMS, DEFINITIONS AND RESULTS P E = SUMMATIVE ASSESSMENT

SCHOOL OF MATHEMATICS AND STATISTICS

Statistical Hypothesis Testing

Lectures on Simple Linear Regression Stat 431, Summer 2012

VIKAS PRE UNIVERSITY COLLEGE, MANGALURU ANSWER KEY STATISTICS SECTION A SECTION B

KEAM (ENGINEERING) ANSWER KEY 2018

Transcription:

B.com-1 STATISTICS AND BUSINESS MATHEMATICS B.com-1 Regular Annual Examination 2015 Compiled & Solved By: JAHANGEER KHAN

(SECTION A) Q.1 (a): Find the equation of straight line when x-intercept = 3 and y-intercept = 5. Also find the slope of the equation. SOLUTION (1-a): As we know that = By substituting values = Multiply the equation by on both sides 15 + 15 =15(1) Comparing with Where Hence Solution Set = {, } Q.1 (b): For the derivatives in each of the problem. (any Two) (i) (ii) SOLUTION (1-b-i): (iii) pg. 1

+ ( (3) 45 60 30 (2 ) SOLUTION (1-b-ii): pg. 2

( ) * + * + * + * + * + * + * + * + * + X * + * + pg. 3

* SOLUTION (1-b-iii): + Q.2 (a): Find the quadratic equation y =. Determine: (i) Which way parabola opens (ii) The Vertex (iii) The roots SOLUTION (2-a-i): SOLUTION (2-a-ii): The coordinates of vertex are Substituting values: * + pg. 4

Hence Solution Set = {, } SOLUTION (2-a-iii): As we know that By substituting values Hence Solution Set = {, } Q.2 (b): Find the inverse of the following square matrix A than verify that A -1 x A=I. A=* + SOLUTION (2-b): * + * + pg. 5

* + [ ] [ ] x [ ] x * +=* + [ ] =* + [ ] =* + [ ] =* + [ ] =* + pg. 6

[ ] =* + * + * + Q.3 (a): Given, A=[ ] and B=* + Find A x B SOLUTION (3-a): A x B =[ ] x * + A x B =[ ) ] A x B =[ ] A x B =[ ] Q.3 (b): Examine maximum and minimum value of the function y =. SOLUTION (3-b): Now taking. 0 = 27= = pg. 7

Since > 0, so attains minima at = = = = = (SECTION B) Q.4 (a): Calculate A.M, G.M, HM and Mode for the given frequency distribution. 0 1 2 3 4 5 2 2 4 6 8 3 SOLUTION (4-a): 0 2 0 1 2 2 2 4 8 3 6 18 4 8 32 5 3 15 Total 25 75 Note: Since data contains value zero so G.M and H.M cannot be calculated for the given data. pg. 8

Mode = The most repeated value in the data So, Mode = 4 Hence solution set = {, G.M and H.M cannot be calculated, Mode=4} Q.4(b): Find chain index for 2001 as base for the production of wheat from the data given below: Year 2001 2002 2003 2004 2005 2006 2007 2008 2009 production 2046 1776 2134 2380 2785 2765 2420 2595 2425 SOLUTION (4-b): Year Production Link Relatives Chain Indices 2001 2046 x 100=100% = 100% 2002 1776 x 100=86.80% = 86.80% 2003 2134 x 100=120.16% =104.30% 2004 2380 x 100=111.53% =116.33% 2005 2785 x 100=117.02% =136.13% 2006 2765 x 100=99.28% =135.15% 2007 2420 x 100=87.52% =118.28% 2008 2595 x 100=107.23% =126.83% 2009 2425 x 100=93.45% =118.52% Q.4(c): If an investor buys shares of Rs.9000/- at a price of Rs.45/- per share of Rs.9000/- at price of Rs.36/- per share. Calculate the average price per share. SOLUTION (4-c): Type 1 Shares Type 2 Shares pg. 9

Q.5(a): For the following frequency distribution: C B 10 12 12 14 14 16 18 20 18 20 f 14 26 42 08 08 Find Mean Deviation from Mean. SOLUTION (5-a): C B 10 12 14 11 154 0.87 3.87 54.18 12 14 26 13 338 1.87 1.87 48.62 14 16 42 15 630 0.13 0.13 5.46 16 18 30 17 510 2.13 2.13 63.9 18 20 08 19 152 4.13 4.13 33.04 Total 120 ----- 1,784 ----- ----- 205.2 pg. 10

Q.5(b): In a moderately skewed frequency distribution: Mean = 62.5 and Median = 59.2 find Mode. SOLUTION (5-b): Mean = 62.5 Median = 59.2 Mode =? Q.5(c): Given = 20, ơ x = 4 find and ơ y (mean and sd of y). SOLUTION (5-c): ơ ơ ơ ơ Hence Solution Set = {, ơ } Q.6(a): The following table shows the heights of father and heights son of sons: Heights of fathers 63 65 66 67 67 68 Heights of sons 66 68 65 67 69 70 (i) Find the Karl Pearson Coefficient of Correlation. (ii) Find the equation of the regression line of son on father. SOLUTION (6-a-i): 63 66 3969 4356 4158 65 68 4225 4624 4420 66 65 4356 4225 4290 67 67 4489 4489 4489 67 69 4489 4761 4623 68 70 4624 4900 4760 396 405 26152 27355 26740 * +* + * +* + * +* + pg. 11

* +* + SOLUTION (6-a-ii): Q.6(b): The average is 68 and S.d is 4 of marks of section A. the average is 52 and S.d is 12 marks of section B. which is more consistent? SOLUTION (6-b): Section A Section B pg. 12

x x x x Conclusion: Since <, it means that section A is more consistent than section B. (SECTION C) Q.7(a): How many three digit numbers can be formed from the digit 1, 2, 5, 6 and 9 if each digit can be used once? SOLUTION (7-a): n Pr= 5 P3= 5 P 3 = 5 P3 = x x 5 P3 = Q.7(b): What is the probability of getting a total of 7 or 11, when a pair of dice is tossed? SOLUTION (7-b): { (1,1), (1,2), (1,3), (1,4), (1,5), (1,6) (2,1), (2,2), (2,3), (2,4), (2,5), (2,6) (3,1), (3,2), (3,3), (3,4), (3,5), (3,6) (4,1), (4,2), (4,3), (4,4), (4,5), (4,6) (5,1), (5,2), (5,3), (5,4), (5,5), (5,6) (6,1), (6,2), (6,3), (6,4), (6,5), (6,6) } tota of or * + pg. 13

Q.7(c): Find 90% confidence interval for the mean of a normal distribution if standard deviation is known to be 2 & if a sample of size 8 give the value 9, 14, 10, 12, 7, 13, 11, 12. SOLUTION (7-c): ơ 9 14 10 12 7 13 11 12 88 ơ ơ ( ) ( ) pg. 14

Q.8(a): A type of 200 watt light bulb has been found to have a mean life of 2000 hours & S.d of 250 hours. What is the probability that a sample 81 bulbs will have an average life of fewer than 1920 hours? SOLUTION (8-a): ơ ơ Q.8(b): Find the expected value of X, where X represents the outcome when a die is tossed. SOLUTION (8-b): X P(x) 1 1/6 2 1/6 3 1/6 4 1/6 5 1/6 6 1/6 Total 1 pg. 15

Q.8(c): In survey of 400 infants chosen at random, it was found that 190were girls. Fit test to examine the hypotheses that boy and girl are equa y ike y α SOLUTION (8-c): 1. H 0 : Boy and girl are equally likely. 2. H A : Boy and girl are not equally likely. 3. α =0.05 4. Use χ 2 test: χ 2 cal= Boy 210 0.5 200 100 0.5 Girl 190 0.5 200 100 0.5 Total N=400 1 400 ----- 1 χ 2 cal=1 5. Critical Value: d.f=n-1=2-1=1 χ 2 tab= χ 2 0.05; 1=3.841 6. Decision/Conclusion: Since < so accept H 0 and reject H A. It means that boy and girl are equally likely. Q.9(a): An unbiased coin is tossed times f x is a random variab e showing the number of heads than construct the Binomia distribution of x if the probabi ity of head in a single toss is 2/3. SOLUTION (9-a): n n 0 3 0.04 1 3 0.22 2 3 0.44 3 3 0.30 Total ----- 1 pg. 16

Q.9(b): A random variable of 50 observations produced the following sums =20 = 10.9 Test the hypothesis that population mean is 0.45 against the alternative less than 0.45, use α SOLUTION (9-b): =20 = 10.9 = 50 1. H 0 : µ=0.45 2. H A : µ<0.45 3. α 4. Use test: pg. 17

5. Critical Value: 6. Decision/Conclusion: Since > so reject H 0 and accept H A. it means that population mean is less than 0.45. Q.10(a): For a normal random variable x with mean equal to 30 and standard deviation 5 find the probabilities (i) P ( x ) (ii) P (x ) SOLUTION (10-a-i): ơ ơ pg. 18

SOLUTION (10-a-ii): ơ ( ) Compiled & Solved By: JAHANGEER KHAN ơ ( ) ( ) ( ) ( ) ( ) Q.10(b): Draw all possible sample of size 2 with replacement from the population 2, 4, 10 verify that sample mean is an unbiased estimate of population mean. E = µ SOLUTION (10-b): S.no Samples Sample Mean 1. 2, 2 2 2. 2, 4 3 3. 2, 10 6 4. 4, 2 3 5. 4, 4 4 6. 4, 10 7 7. 10, 2 6 8. 10, 4 7 9. 10,10 10 Total ----- 49 E = µ Verified pg. 19