Basics Of Statistics - A Comprehensive Study (College Level)

Learn Fundamentals of Statistics with supporting case studies

What you'll learn
Understand Basics of Statistics
Understand Mean, Median and Mode
Understand Deviations like Quartile Deviation, Standard Deviation, etc.
Understand Correlation
Understand Reggression
Requirements
Students can approach this course with fresh mind.
No prior knowledge in Statistics is required.
Description
Welcome to the course Basics of Statistics - A Comprehensive Study.
Statistics is required in every walk of business life to take decisions. When we take decision, it should be an informed one. Once we have statistics, we can be sure that decision is taken considering various factors. In this course, you will learn about the basics of statistics in depth covering
a) Introduction to Statistics;
b) Collection of Data;
c) Presentation of Data;
d) Frequency Distribution;
e) Measures of Central Tendency covering Arithmetic Mean, Median and Mode
f) Measures of Dispersion covering Range, Quartile Deviation and Standard Deviation
g) Correlation
h) Regression.
This course is basically a bundle of other courses namely
i) Basics of Business Statistics
ii) Statistics - Measures of Central Tendency
iii) Statistics - Measures of Dispersion
iv) Statistics and Correlation.
If you are buying this course, make sure you don't buy the above courses. This course is structured in self paced learning style. Video lectures are used for delivering the course content. Numerous case studies were solved in hand written presentation.
Take this course to gain good knowledge in basics of statistics. (Please be guided that this course teaches Statistics only from Academic point of view. Hence, teaching style will be absolutely Academic based)


Overview

Section 1: Basics of Business Statistics

Lecture 1 Introduction

Lecture 2 History of Statistics

Lecture 3 Science of Statistics

Lecture 4 Applications of Statistics

Lecture 5 Limitations of Statistics

Lecture 6 Definition of Statistics

Lecture 7 Functions of Statistics

Lecture 8 Collection of Data

Lecture 9 Collection of Primary Data

Lecture 10 Sources of Secondary Data

Lecture 11 Presentation of Data

Lecture 12 Frequency Presentation

Section 2: Collection and Presentation of Data

Lecture 13 Mode of Presentation of Data

Lecture 14 Textual Presentation of Data

Lecture 15 Tabulation of Data

Lecture 16 Diagrammatic representation of Data

Lecture 17 Line Diagram

Lecture 18 Bar Diagram

Lecture 19 Multiple Line Chart

Lecture 20 Multiple Bar Chart

Lecture 21 Pie Chart

Lecture 22 Frequency Distribution

Lecture 23 Example for Frequecy Distribution Table

Lecture 24 Frequency Distribution Tally Method

Lecture 25 Continuous Frequency Distribution

Lecture 26 Technical Terms of Continuous Frequency Distribution

Lecture 27 No of Class Intervals

Lecture 28 Size of Class Interval

Lecture 29 Types of Class Intervals

Section 3: Measures of Central Tendency

Lecture 30 Introduction Measures of Central Tendency

Lecture 31 Case Study - Arithmetic Mean

Lecture 32 Arithmetic Mean

Lecture 33 Case Study - Arithmetic Mean Short cut method

Lecture 34 Arithmetic Mean Short cut method

Lecture 35 Case Study - Arithmetic Mean Grouped data

Lecture 36 Arithmetic Mean Grouped data

Lecture 37 Case Study - Arithmetic Mean Class Intervals

Lecture 38 Arithmetic Mean Class Intervals

Lecture 39 Median

Lecture 40 Median case study

Lecture 41 Median Discrete Frequency Distribution

Lecture 42 Case Study Median Discrete Frequency Distribution

Lecture 43 Median Continuous Freqnuency Distribution

Lecture 44 Median Continuous Frequency Distribution Exclusive Class Intervals

Lecture 45 Median Graphics

Lecture 46 Quartile

Lecture 47 Quartile Raw or Ungrouped Data

Lecture 48 Quartile Discrete Series

Lecture 49 Quartile Continuous Series Explanation

Lecture 50 Quartile Continuous Series Case Study

Lecture 51 Deciles

Lecture 52 Decile for Grouped Data Case Study

Lecture 53 Percentile

Lecture 54 Percentile Grouped Data Case Study

Lecture 55 Mode

Lecture 56 Mode for Grouped Data

Lecture 57 Mode for Continuous Frequency Distribution Case Study

Lecture 58 Mode for Continuous Frequency Distribution Case Study

Section 4: Measures of Dispersion

Lecture 59 Introduction

Lecture 60 Objectives of Measures of Dispersion

Lecture 61 Expression of Dispersion

Lecture 62 Important measures of dispersion

Lecture 63 Case Study Material - Range

Lecture 64 Range

Lecture 65 Case Study Material Quartile deviation

Lecture 66 Quarrtile Deviation

Lecture 67 Case Study #1 Quartile Deviation Handout

Lecture 68 Case Study #1Quartile deviation

Lecture 69 Case Study #2 Quarlite Deviation

Lecture 70 Quartlie Deviation Continuous Frequency Distribution

Lecture 71 Case Sudy Quartile Deviation Continuous Frequency Distribution

Lecture 72 What is Standard Deviation

Lecture 73 Variance and Coefficient of Variation

Lecture 74 Procedure for Calculating Standard Deviation in Individual Series

Lecture 75 Case#1 Standard Deviation

Lecture 76 Standard Deviation Alternate formula

Lecture 77 Case #2 Coefficient of Variation

Lecture 78 Case#3 Standard Deviation

Lecture 79 Case#4 Standard Deviation

Lecture 80 Case#5 Standard Deviation

Lecture 81 Standard Deviation in case of discrete frequency distribution

Lecture 82 Case #6 Standard Deviation Discrete Frequency Distribution

Lecture 83 Standard Deviation in case of Continuous frequency distribution

Lecture 84 Case #7 Standard Deviation Continuous Frequency Distribution

Section 5: Correlation

Lecture 85 Introduction

Lecture 86 Scatter Diagram

Lecture 87 Types of correlation

Lecture 88 Correlation computation

Lecture 89 Case study 1 correlation

Lecture 90 Case Study 2 correlation

Lecture 91 Case Study 3 correlation

Lecture 92 Correlation grouped data

Lecture 93 Rank correlation

Lecture 94 Rank Correlation in case of tie of ranks

Section 6: Regression Analysis

Lecture 95 Regression Analysis Introduction

Lecture 96 Types of Regression

Lecture 97 Methods of Regression Analysis

Lecture 98 Graphic Methods Regression Analysis

Lecture 99 Regression Lines

Lecture 100 Linear Regression Equation

Lecture 101 Algebric Method of Regression Equation

Lecture 102 Regression Equation Case Study 1

Lecture 103 Regression Coefficient Explanation

Lecture 104 Regression Coefficient Case Study 2

Lecture 105 Mode Case Study Using Grouping Method

Section 7: Time Series

Lecture 106 Time Series introduction

Lecture 107 Componets of Time Series

Lecture 108 Graphical Method

Lecture 109 Semi Average Method of Time Series

Section 8: Probability

Lecture 110 What is Probability?

Lecture 111 Probability Example & Basic Formulae

Lecture 112 Problem 1

Lecture 113 Problem 2

Lecture 114 Problem 3

Lecture 115 Problem 4

Section 9: FINAL SECTION

Lecture 116 Bonus Lecture

CA / CMA / CS Students,Students pursuing CA / CMA / CS / Higher Secondary / Statistics courses,B.Com I Year Students