MBA 103 QUANTITATIVE TECHNIQUES
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MBA 103 QUANTITATIVE TECHNIQUES SOLVED PAPERS AND GUESS
Product Details: MBA 103 QUANTITATIVE TECHNIQUES
Format: BOOK
Pub. Date: NEW EDITION APPLICABLE FOR Current EXAM
Publisher: MEHTA SOLUTIONS
Edition Description: 2021-22
RATING OF BOOK: EXCELLENT
ABOUT THE BOOK
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If you find yourself getting fed up and frustrated with other Ignou University book solutions now mehta solutions brings top solutions for IGNOU University rewari MBA 103 QUANTITATIVE TECHNIQUES book contains previous year solved papers plus faculty important questions and answers specially for ignou University .questions and answers are specially design specially for ignou University REWARI students .
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QUANTITATIVE TECHNIQUES
Paper Code: MBA 103
External Marks: 80
Internal Marks: 20
Time: 3 hrs
Instructions for External Examiner: The question paper shall be divided in two sections. Section ‘A’ shall
comprise of eight short answer type questions from whole of the syllabus carrying two marks each, which shall be compulsory. Answer to each question should not exceed 50 words normally. Section ‘B’ shall comprise 8 questions (2 questions from each unit). The students will be required to attempt four questions selecting one question from each unit. All questions will carry equal marks
Unit-I
Construction of frequency distributions and their analysis in the form of measures of central tendency and
variations; types of measures, their relative merits, limitations and characteristics; skewness: meaning and coefficient of skewness.
Unit-II
Correlation analysis - meaning & types of correlation, Karl Pearson’s coefficient of correlation and spearman’s rank correlation; regression analysis -meaning and two lines of regression; relationship between correlation and
regression co-efficients. Time series analysis - measurement of trend and seasonal variations; time series and
forecasting.
Unit-III
Probability: basic concepts and approaches, addition, multiplication and Bayes’ theorem. Probability distributions - meaning, types and applications, Binomial, Poisson and Normal distributions.
Unit-IV
Sampling theory and basic concepts in statistical inference; tests of significance; Hypothesis testing; Large samples, Small samples: Chi-square test, Analysis of variance.
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