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Basics of Statistics – A Comprehensive Study (College Level)

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Basics of Statistics – A Comprehensive Study (College Level), available at $44.99, has an average rating of 4.65, with 116 lectures, based on 102 reviews, and has 3325 subscribers.

You will learn about Understand Basics of Statistics Understand Mean, Median and Mode Understand Deviations like Quartile Deviation, Standard Deviation, etc. Understand Correlation Understand Reggression This course is ideal for individuals who are CA / CMA / CS Students or Students pursuing CA / CMA / CS / Higher Secondary / Statistics courses or B.Com I Year Students It is particularly useful for CA / CMA / CS Students or Students pursuing CA / CMA / CS / Higher Secondary / Statistics courses or B.Com I Year Students.

Enroll now: Basics of Statistics – A Comprehensive Study (College Level)

Summary

Title: Basics of Statistics – A Comprehensive Study (College Level)

Price: $44.99

Average Rating: 4.65

Number of Lectures: 116

Number of Published Lectures: 116

Number of Curriculum Items: 116

Number of Published Curriculum Objects: 116

Original Price: ₹7,900

Quality Status: approved

Status: Live

What You Will Learn

  • Understand Basics of Statistics
  • Understand Mean, Median and Mode
  • Understand Deviations like Quartile Deviation, Standard Deviation, etc.
  • Understand Correlation
  • Understand Reggression

Who Should Attend

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

Target Audiences

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

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)

Course Curriculum

Chapter 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

Chapter 2: Collection and Presentation of Data

Lecture 1: Mode of Presentation of Data

Lecture 2: Textual Presentation of Data

Lecture 3: Tabulation of Data

Lecture 4: Diagrammatic representation of Data

Lecture 5: Line Diagram

Lecture 6: Bar Diagram

Lecture 7: Multiple Line Chart

Lecture 8: Multiple Bar Chart

Lecture 9: Pie Chart

Lecture 10: Frequency Distribution

Lecture 11: Example for Frequecy Distribution Table

Lecture 12: Frequency Distribution Tally Method

Lecture 13: Continuous Frequency Distribution

Lecture 14: Technical Terms of Continuous Frequency Distribution

Lecture 15: No of Class Intervals

Lecture 16: Size of Class Interval

Lecture 17: Types of Class Intervals

Chapter 3: Measures of Central Tendency

Lecture 1: Introduction Measures of Central Tendency

Lecture 2: Arithmetic Mean

Lecture 3: Case Study – Arithmetic Mean

Lecture 4: Case Study – Arithmetic Mean Short cut method

Lecture 5: Arithmetic Mean Short cut method

Lecture 6: Case Study – Arithmetic Mean Grouped data

Lecture 7: Arithmetic Mean Grouped data

Lecture 8: Case Study – Arithmetic Mean Class Intervals

Lecture 9: Arithmetic Mean Class Intervals

Lecture 10: Median

Lecture 11: Median case study

Lecture 12: Median Discrete Frequency Distribution

Lecture 13: Case Study Median Discrete Frequency Distribution

Lecture 14: Median Continuous Freqnuency Distribution

Lecture 15: Median Continuous Frequency Distribution Exclusive Class Intervals

Lecture 16: Median Graphics

Lecture 17: Quartile

Lecture 18: Quartile Raw or Ungrouped Data

Lecture 19: Quartile Discrete Series

Lecture 20: Quartile Continuous Series Explanation

Lecture 21: Quartile Continuous Series Case Study

Lecture 22: Deciles

Lecture 23: Decile for Grouped Data Case Study

Lecture 24: Percentile

Lecture 25: Percentile Grouped Data Case Study

Lecture 26: Mode

Lecture 27: Mode for Grouped Data

Lecture 28: Mode for Continuous Frequency Distribution Case Study

Lecture 29: Mode for Continuous Frequency Distribution Case Study

Chapter 4: Measures of Dispersion

Lecture 1: Introduction

Lecture 2: Objectives of Measures of Dispersion

Lecture 3: Expression of Dispersion

Lecture 4: Important measures of dispersion

Lecture 5: Case Study Material – Range

Lecture 6: Range

Lecture 7: Case Study Material Quartile deviation

Lecture 8: Quarrtile Deviation

Lecture 9: Case Study #1 Quartile Deviation Handout

Lecture 10: Case Study #1Quartile deviation

Lecture 11: Case Study #2 Quarlite Deviation

Lecture 12: Quartlie Deviation Continuous Frequency Distribution

Lecture 13: Case Sudy Quartile Deviation Continuous Frequency Distribution

Lecture 14: What is Standard Deviation

Lecture 15: Variance and Coefficient of Variation

Lecture 16: Case#1 Standard Deviation

Lecture 17: Standard Deviation Alternate formula

Lecture 18: Procedure for Calculating Standard Deviation in Individual Series

Lecture 19: Case #2 Coefficient of Variation

Lecture 20: Case#3 Standard Deviation

Lecture 21: Case#4 Standard Deviation

Lecture 22: Case#5 Standard Deviation

Lecture 23: Standard Deviation in case of discrete frequency distribution

Lecture 24: Case #6 Standard Deviation Discrete Frequency Distribution

Lecture 25: Standard Deviation in case of Continuous frequency distribution

Lecture 26: Case #7 Standard Deviation Continuous Frequency Distribution

Chapter 5: Correlation

Lecture 1: Introduction

Lecture 2: Scatter Diagram

Lecture 3: Types of correlation

Lecture 4: Correlation computation

Lecture 5: Case study 1 correlation

Lecture 6: Case Study 2 correlation

Lecture 7: Case Study 3 correlation

Lecture 8: Correlation grouped data

Lecture 9: Rank correlation

Lecture 10: Rank Correlation in case of tie of ranks

Chapter 6: Regression Analysis

Instructors

Rating Distribution

  • 1 stars: 5 votes
  • 2 stars: 5 votes
  • 3 stars: 20 votes
  • 4 stars: 38 votes
  • 5 stars: 34 votes

Frequently Asked Questions


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