Sampling (statistics) | Survey methodology
In statistics, quality assurance, and survey methodology, sampling is the selection of a subset (a statistical sample) of individuals from within a statistical population to estimate characteristics of the whole population. Statisticians attempt to collect samples that are representative of the population in question. Sampling has lower costs and faster data collection than measuring the entire population and can provide insights in cases where it is infeasible to measure an entire population. Each observation measures one or more properties (such as weight, location, colour or mass) of independent objects or individuals. In survey sampling, weights can be applied to the data to adjust for the sample design, particularly in stratified sampling. Results from probability theory and statistical theory are employed to guide the practice. In business and medical research, sampling is widely used for gathering information about a population. Acceptance sampling is used to determine if a production lot of material meets the governing specifications. (Wikipedia).
What is a Sampling Distribution?
Intro to sampling distributions. What is a sampling distribution? What is the mean of the sampling distribution of the mean? Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creat
From playlist Probability Distributions
Statistics - Types of sampling
This video will show you the many ways that you could sample. Remember to look for those small differences such as if you are breaking things into groups first. For more videos visit http://www.mysecretmathtutor.com
From playlist Statistics
Sampling Distributions of Means
This is an old video. See StatsMrR.com for access to hundreds of 1-3 minute, well-produced videos for learning Statistics. In this older video: Understanding and working with sampling distributions of means. Calculating the mean and standard deviation and the probability associated with
From playlist Older Statistics Videos and Other Math Videos
If you’re studying a large population, you might consider using #sampling in order to get the data you need. We’ll explain how to come up with a proportionate, representative sample. To learn more basic concepts in #statistics, check out the free tutorial on our website: https://edu.gcfglo
From playlist Basic Statistics
Statistics: Introduction (12 of 13) Sampling: Definitions and Terms
Visit http://ilectureonline.com for more math and science lectures! We will review a sampling of definitions and terms of statistics: census, sampling frame, sampling plan, judgment sample, probability samples, random samples, systematic sample, stratified sample, and cluster sample. To
From playlist STATISTICS CH 1 INTRODUCTION
Statistics Lesson #1: Sampling
This video is for my College Algebra and Statistics students (and anyone else who may find it helpful). It includes defining and looking at examples of five sampling methods: simple random sampling, convenience sampling, systematic sampling, stratified sampling, cluster sampling. We also l
From playlist Statistics
This lesson introduces the different sample methods when conducting a poll or survey. Site: http://mathispower4u.com
From playlist Introduction to Statistics
An overview of the most popular sampling methods used in statistics. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creator-spring.com/listing/sampling-in-statistics
From playlist Sampling
What is "Probability sampling?" A brief overview. Four different types, their advantages and disadvantages: cluster, SRS (Simple Random Sampling), Systematic and Stratified sampling. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with
From playlist Sampling
From playlist STAT 200 Video Lectures
Table of Contents: 00:50 - Lecture structure Two Proportions 01:11 - Checking assumptions 02:50 - Computing the standard error by hand 03:59 - Example: Computing the standard error for a confidence interval 06:22 - Example: Computing the standard error for a hypothesis test 08
From playlist STAT 200 Video Lectures
Sampling Distributions and Confidence Intervals (Part 1 of Intro to Statistics)
Intro to Statistics Part 1. This is part one of a short course on foundations of statistics. If you've never taken a statistics class before (or even if you have), this course will walk you through what you need to know. Check out my e-book, Sampling in Statistics, which covers everythin
From playlist Intro to Statistics
Speaking of Statistics – DEFINING the Field of Statistics (1-3)
The term “statistics” may refer to the practice, procedure, or products of statistics. The Practice of Statistics means the field of statistics: “The art and science of making sense of data”. The Procedures of Statistics reefer to mathematical techniques to organize, summarize, and interpr
From playlist From Numbers to Variables to Data in Statistics (WK 1 - QBA 237)
From playlist STAT 200 Video Lectures
Statistics - 1.1 Intro to Statistics
The first video in the Statistics series explores the differences between a population and a sample and between a parameter and a statistic. Power Point: https://bellevueuniversity-my.sharepoint.com/:p:/g/personal/kbrehm_bellevue_edu/EVJ0yg01F7JCg0CuBdqPYj8BhiXmzIKEoOr0eEhKb8spfg?e=dre62P
From playlist Applied Statistics (Entire Course)
Course Wrap-Up of Basic Business Statistics
As we conclude the semester, we take a look back at all that we have learned, reviewing the highlights of the course to reinforce our learning. This lecture was recorded on Wednesday, November 25, 2020 for QBA 237 – Basic Business Statistics Light Sting by Kevin MacLeod is licensed unde
From playlist Business Statistics Lectures (FA2020, QBA337 @ MSU)
0:15 - Review 2:29 - Learning objectives 2:48 - 1. Construct and interpret sampling distributions using StatKey 3:36 - StatKey 10:42 - Review of terms 12:12 - 2. Explain the general form of a confidence interval 16:59 - 3. Interpret a confidence interval 23:47 - 4. Explain the
From playlist STAT 200 Video Lectures
Hypothesis testing (ALL YOU NEED TO KNOW!)
0:00 Introduction 3:41 Intuition behind hypothesis testing 10:16 Example 1 12:57 Null hypothesis 22:00 Test statistic 28:27 p-valiue 33:38 Confidence intervals 37:46 Significant treatment difference 42:25 Power and Sample size (THE BEST!) 50:47 Example 2
From playlist Statistical Inference (7 videos)
What is quota sampling? Advantages and disadvantages. General steps and an example of how to find a quote sample. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creator-spring.
From playlist Sampling
Level 1 Chartered Financial Analyst (CFA ®): Sampling and Estimation
In this video, I'm looking forward to sharing highlights with you from the CFA section, sampling and estimation. Sampling and estimation in statistics are theoretically essential and foundational, but in actual practice, it's very important. This is the practice of using samples to draw in
From playlist Level 1 Chartered Financial Analyst (CFA ®) Volume 1