BCA Semester II - Probability and Statistics
Fundamentals of Probability and Statistics
Updated on Jun, 2025
Language - English
Teaching and Academics ,Math,Statistics
Lectures -50
Duration -4.5 hours
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Course Description
UNIT-I
Introduction: Importance of Statistics, Concepts of Statistics, population and a sample; quantitative and qualitative data; Collection of Primary and Secondary data; Classification and Tabulation of data. Construction of Univariate and bivariate frequency distribution; Diagrammatic and Graphical representation of data.
UNIT-II
Descriptive Statistics: Measures of central tendency: Arithmetic Mean, Median, Mode, Geometric mean, Harmonic mean; Measures of Dispersion: Range, Quartile deviation, Mean deviation, Standard deviation. Definition of Moments; Measures of Skewness: Karl pearson’s coefficient of skewness, Bowley’s coefficient of skewness; Kurtosis.
UNIT-III
Probability: Basic terminology, Mathematical probability, Statistical probability, Axiomatic approach to probability, Theorems on probability. Conditional Probability, Multiplication theorem of probability, Independent events, Pairwise/mutually independent events, Bayes’ Theorem.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction/Probability/Random Variable/Distribution
4 Lectures
-
Conditional probability
06:28
06:28
-
Basic properties rules and definitions on probability
24:54
24:54
-
Bayes' rule / Bayes' theorem
11:50
11:50
-
Normal & Standard Normal Distributions
26:18
26:18
Descriptive Statistics
39 Lectures
Correlation and Regression analysis
7 Lectures
Instructor Details
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