Sampling Distribution

A Step by Step Methodology
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  • Lectures 9
  • Length 1 hour
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
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    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 6/2016 English

Course Description

The elements of sampling theory course is aimed at providing essential knowledge required for doing inferential statistics or research. The course offers eight video lectures on sampling theory and its distribution. Students and practitioners can take this course to do statistics and business research in a better way. The course has eight lectures strcutured as follows: various concepts of sampling distrbution, population and sample, sampling from population and sample, types of sampling, random sampling, stratified sampling, non-probability sampling, theorems of sampling theory, and sample size determination.  This course is essential for doing inferential statistics or higher level of research in various discplines.  

What are the requirements?

  • Students should have knowledge of descriptive statistics
  • Students should have knowledge of basic mathematics

What am I going to get from this course?

  • Learn the meaning of population and sample
  • Understand the difference between parameters and statistics
  • Know the types of sampling
  • Learn about the sampling distrbution of mean
  • Learn the central limit theorem

What is the target audience?

  • Students who are looking to have foundations in statistics
  • Students who want to do inferential statistics
  • Reseachers who are doing inferential study in various disciplines

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Sampling Theory
Introductory Lecture
Preview
01:46
Concepts of Sampling Distribution
Preview
07:48
Population and Sample
Preview
07:12
Sampling Population and sample
06:38
Types of Sampling
07:54
Random Sampling, Stratified and other types of sampling
03:52
Non-Probability Sampling
05:23
Theorems of Sampling Distribution
10:54
sample size determination
05:11

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Instructor Biography

Swati Prasad, Business Analyst

I am S prasad. I did my schooling and higher secondary with 1st class in intermediate level, I studied science with math and completed my intermediate in 2008. After my +2 I did my bachelor of business administration (BBA). In this three years course I got trend in subject like Business communication and office management, Economic Analysis, Banking law and practice, Financial Accounting and Cost Accounting, Money Banking, Trade and Transport, principal of management and Environment of Business, Business statistics and Mathematics, Entrepreneurship, business Law, Organisation Behaviour and Personality Development, Production Management and Materials Management, Marketing Management, HRM, Financial Management, Computer Application in Management and Environment studies.

After my under graduate business degree I continued with my specialization and did Masters in Human Resource Development a programme equivalent to MBA in HR during this course I specialize in the subject like Principal and Practice of management, Human Resources Management, Marketing concepts of HR, Business Communication, Computer Application in Business, Legal Framework for human Relation, Business Environment, Organization Behaviour, research Methodology, Human Resource planning & Development, Participative Management and Industrial Relation, Compensation Management, Social Security & Labour Welfare, Industrial Psychology, Strategic Human Resource management, Organisation Change and Intervention Strategies, Environment Pollution and Industrial safety, Human Resource Accounting and Auditing, Management of Public Relations and Human Resource Training and Development. I am a professionally trend HRM resource person.

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