D105 SOLVED PAPERS AND GUESS
Product Details: BHARATI VIDYAPEETH D105 SOLVED PAPERS AND GUESS
Format: BOOK
Pub. Date: NEW EDITION APPLICABLE FOR Current EXAM
Publisher: MEHTA SOLUTIONS
Edition Description: 2017-18
RATING OF BOOK: EXCELLENT
ABOUT THE BOOK
FROM THE PUBLISHER
If you find yourself getting fed up and frustrated with other BHARATI VIDYAPEETH book solutions now mehta solutions brings top solutions for BHARATI VIDYAPEETH. this D105 book contains previous year important solved papers plus faculty important questions and answers specially for BHARATI VIDYAPEETH .questions and answers are specially design specially for BHARATI VIDYAPEETH students .
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Statistical Techniques
Code: D105
Course Contents:
Topic I - Importance of Statistics in Business Management Domain:
Collection and classification of Data: Collection of data, Primary and secondary sources.
Classification, Presentation and Tabulation of Statistical Data, Need for classifying data, Methods for classification and tabulation.Organizing Data: Frequency distribution - construction and types, relative and percentage frequency distribution.
Diagrams and Graphs - Diagrammatic presentation of data, Graphs - Frequency polygon and frequency curve, Histograms, Cumulative Frequency Curves (ogive).
Topic II - Measures of Central Tendency and Dispersion:
Measures of Central Tendency: Arithmetic Mean, Median, mode, partition values – quartiles, deciles and percentiles, Applications in business.Measures of Dispersion: Range, Semi Inter-quartile range, mean deviation, standard deviation, coefficient of variation, methods of calculation and applications.
Topic III - Correlation– Types of correlation, methods of studying correlation – Scatter Diagrams, Karl Pearson’s coefficient, Rank correlation, coefficient of determination.
Topic IV - Regression Analysis:
Forecasting Methods: Significance and Introduction, Regression Method, regression lines and regression coefficient, Least square method, Applications to business.
Topic V - Probability and Probability Distribution:
Sample space, types of events, Basic Rules of Probability, Random Variable, Conditional Probability, Expectation, Means & Variance, Baye’s theorem. Probability Distributions- Binomial Distribution, Poisson Distribution & Normal Distribution. Problems based on Business applications.
Topic VI - Decision theory:
Steps in decision theory approach − Types of decision making environment − Decision-making under certainty, risk and uncertainty − Decision criteria − Decision trees
