Sampling Distribution
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Sampling Distribution

A Step by Step Methodology
0.0 (0 ratings)
5 students enrolled
Last updated 6/2016
English
Current price: \$10 Original price: \$95 Discount: 89% off
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Includes:
• 1 hour on-demand video
• Access on mobile and TV
• Certificate of Completion
What Will I 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
View Curriculum
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 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
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Curriculum For This Course
9 Lectures
56:38
+
Sampling Theory
9 Lectures 56:38
Preview 01:46

Preview 07:48

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