Sample and Population in Statistics | Statistics Tutorial | MarinStatsLectures

Sample and Population in Statistics: What is a sample and population is statistics and research? What is the difference between histogram and probability distributions? and more with examples! Probability Distributions with R: (https://goo.gl/4zxnMM) Make Plots and Calculate Summary Statistics with R: (https://goo.gl/CVtS6b) 👍🏼Best Statistics with R Programming Language Videos:( https://goo.gl/4vDQzT ) ►► Like to support us? You can Donate (https://bit.ly/2CWxnP2), Share our Videos, Leave us a Comment and Give us a Thumbs up! Either way We Thank You! In this statistics video tutorial we will learn the difference between sample and population in statistics and research with examples. Here we will learn about the difference and the connection between distribution of a sample (sometimes referred to as the empirical distribution) and the theoretical probability distribution used to describe a population. We will also explain the concept of a sample mean vs a population mean, and so on. Sample and Population is statistics are important concepts to learn, as it helps to build a bridge between the theoretical world of probability distributions and population parameters and the real world of sample distributions, sample estimate or sample statistics. ◼︎ Table of Content: 0:00:20 What is sample in statistics with example 0:01:06 Summarizing the sample of data using summary plots (like bar plot) and summary statistics 0:02:09. What is Population in statistics 0:01:06 Summarizing the population data using summary plots and summary statistics 0:03:37 What is binomial probability distribution ►► Watch More: ► Statistics for Data Science (Complete Series): https://bit.ly/2SQOxDH ►Data Science with R(Complete Series): https://bit.ly/1A1Pixc ►Getting Started with R (Series 1): https://bit.ly/2PkTneg ►Graphs and Descriptive Statistics in R (Series 2): https://bit.ly/2PkTneg ►Probability distributions in R (Series 3): https://bit.ly/2AT3wpI ►Bivariate analysis in R (Series 4): https://bit.ly/2SXvcRi ►Linear Regression in R (Series 5): https://bit.ly/1iytAtm ►ANOVA Concept and with R Videos: https://bit.ly/2zBwjgL ►Hypothesis Testing Videos: https://bit.ly/2Ff3J9e ►Linear Regression Concept and with R Videos: https://bit.ly/2z8fXg1 Follow MarinStatsLectures Subscribe: https://goo.gl/4vDQzT website: https://statslectures.com Facebook:https://goo.gl/qYQavS Twitter:https://goo.gl/393AQG Instagram: https://goo.gl/fdPiDn Our Team: Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC. Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH) These videos are created by #marinstatslectures to support some statistics and R programming language courses at The University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials for Health Science Research), although we make all videos available to the everyone everywhere for free. Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!