Basics of Statistics - A Comprehensive Study (College Level)
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# Basics of Statistics - A Comprehensive Study (College Level)

Learn Fundamentals of Statistics with supporting case studies
3.9 (37 ratings)
2,982 students enrolled
Last updated 5/2017
English
Current price: \$10 Original price: \$150 Discount: 93% off
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Includes:
• 8.5 hours on-demand video
• 24 Supplemental Resources
• Access on mobile and TV
• Certificate of Completion
What Will I Learn?
• Understand Basics of Statistics
• Understand Mean, Median and Mode
• Understand Deviations like Quartile Deviation, Standard Deviation, etc.
• Understand Correlation
• Understand Reggression
View Curriculum
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

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)

Who is the target audience?
• CA / CMA / CS Students
• Students pursuing CA / CMA / CS / Higher Secondary / Statistics courses
• B.Com I Year Students
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Curriculum For This Course
108 Lectures
08:58:25
+
10 Lectures 35:57
Preview 04:09

History of Statistics
03:58

Science of Statistics
03:10

Applications of Statistics
04:22

Limitations of Statistics
02:19

Collection of Data
04:16

Collection of Primary Data
05:11

Sources of Secondary Data
01:33

Presentation of Data
05:14

Frequency Presentation
01:45
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Collection and Presentation of Data
17 Lectures 01:12:23
Mode of Presentation of Data
00:46

Textual Presentation of Data
01:57

Tabulation of Data
06:28

Diagrammatic representation of Data
02:32

Line Diagram
05:51

Bar Diagram
05:41

Preview 05:45

Multiple Bar Chart
02:25

Pie Chart
07:00

Frequency Distribution
05:23

Example for Frequecy Distribution Table
04:08

Frequency Distribution Tally Method
07:07

Continuous Frequency Distribution
02:28

Technical Terms of Continuous Frequency Distribution
05:47

No of Class Intervals
02:37

Size of Class Interval
01:17

Types of Class Intervals
05:11
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Measures of Central Tendency
29 Lectures 02:08:18
Introduction Measures of Central Tendency
03:49

Case Study - Arithmetic Mean
1 page

Arithmetic Mean
04:41

Case Study - Arithmetic Mean Short cut method
1 page

Arithmetic Mean Short cut method
06:13

Case Study - Arithmetic Mean Grouped data
1 page

Arithmetic Mean Grouped data
09:07

Case Study - Arithmetic Mean Class Intervals
1 page

Arithmetic Mean Class Intervals
06:58

Median
03:51

Median case study
02:25

Median Discrete Frequency Distribution
03:44

Case Study Median Discrete Frequency Distribution
04:12

Median Continuous Freqnuency Distribution
06:53

Median Continuous Frequency Distribution Exclusive Class Intervals
06:26

Preview 12:08

Quartile
01:12

Quartile Raw or Ungrouped Data
04:39

Quartile Discrete Series
05:32

Quartile Continuous Series Explanation
03:51

Quartile Continuous Series Case Study
08:43

Deciles
03:22

Decile for Grouped Data Case Study
06:37

Percentile
03:12

Percentile Grouped Data Case Study
04:18

Mode
04:17

Mode for Grouped Data
03:23

Mode for Continuous Frequency Distribution Case Study
02:54

Mode for Continuous Frequency Distribution Case Study
05:51
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Measures of Dispersion
26 Lectures 01:52:14
Introduction
03:29

Objectives of Measures of Dispersion
02:35

Expression of Dispersion
02:21

Important measures of dispersion
01:51

Case Study Material - Range
1 page

Range
04:00

Case Study Material Quartile deviation
1 page

Quarrtile Deviation
08:21

Case Study #1 Quartile Deviation Handout
1 page

Case Study #1Quartile deviation
14:01

Case Study #2 Quarlite Deviation
05:21

Quartlie Deviation Continuous Frequency Distribution
03:23

Case Sudy Quartile Deviation Continuous Frequency Distribution
07:56

What is Standard Deviation
04:20

Variance and Coefficient of Variation
02:06

Procedure for Calculating Standard Deviation in Individual Series
03:05

Case#1 Standard Deviation
05:23

Standard Deviation Alternate formula
03:06

Case #2 Coefficient of Variation
03:14

Case#3 Standard Deviation
04:17

Case#4 Standard Deviation
01:40

Case#5 Standard Deviation
07:35

Standard Deviation in case of discrete frequency distribution
03:53

Case #6 Standard Deviation Discrete Frequency Distribution
09:42

Standard Deviation in case of Continuous frequency distribution
03:56

Case #7 Standard Deviation Continuous Frequency Distribution
06:39
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Correlation
10 Lectures 01:15:46
Introduction
04:39

Preview 07:34

Types of correlation
05:28

Correlation computation
02:37

Case study 1 correlation
10:32

Case Study 2 correlation
09:18

Case Study 3 correlation
10:09

Correlation grouped data
05:48

Rank correlation
06:25

Rank Correlation in case of tie of ranks
13:16
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Regression Analysis
11 Lectures 01:15:55
Regression Analysis Introduction
05:01

Types of Regression
05:41

Methods of Regression Analysis
01:55

Graphic Methods Regression Analysis
05:58

Regression Lines
04:04

Linear Regression Equation
04:13

Algebric Method of Regression Equation
03:07

Regression Equation Case Study 1
15:13

Regression Coefficient Explanation
05:20

Regression Coefficient Case Study 2
13:23

Mode Case Study Using Grouping Method
12:00
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Time Series
5 Lectures 21:52
Time Series introduction
02:32

Componets of Time Series
10:07

Graphical Method
03:24

Semi Average Method of Time Series
05:49

BONUS LECTURE - Discount Coupon Link For Other Courses
9 pages