Sampling Distribution
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9 students enrolled

Sampling Distribution

A Step by Step Methodology
0.0 (0 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
9 students enrolled
Created by Swati Prasad
Last updated 6/2016
English
English [Auto-generated]
Current price: $65.99 Original price: $94.99 Discount: 31% off
5 hours left at this price!
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This course includes
  • 1 hour on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • 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
Requirements
  • Students should have knowledge of descriptive statistics
  • Students should have knowledge of basic mathematics
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.  

Who this course is for:
  • 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
Course content
Expand 9 lectures 56:38
+ Sampling Theory
9 lectures 56:38
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