Basics Of Statistics - A Comprehensive Study (College Level)

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


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