Confidence Interval Concept Explained | Statistics Tutorial #7 | MarinStatsLectures скачать в хорошем качестве

Confidence Interval Concept Explained | Statistics Tutorial #7 | MarinStatsLectures

Confidence Interval Concept in Statistics: What are confidence intervals? What is the difference between confidence interval & confidence level? And more (with examples). Confidence Interval Calculations and Formula Video:(    • Confidence Interval for Mean with Example ...   ) 👍🏼Best Statistics & R Programming Language Tutorials: ( 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 Thumbs up! Either way We Thank You! In this statistics video tutorial you will learn how to build a Confidence Interval, and more importantly, how the concept of the Sampling Distribution of the Mean is used to construct the confidence interval. This video focuses on the concepts and principles that a confidence interval is based on, with following videos focussing more on the calculation, interpretation, and other finer details of constructing confidence intervals. We present the concept in reference to a 95% confidence interval for the population mean, although we also discuss how this can be generalized for different levels of confidence, as well as what the 95% confidence interval meaning and interpretations are. This video will also help to answer commonly asked questions like what is the difference between confidence interval vs confidence level? Why do we use a t distribution? The goal for this video is to use the understanding of confidence interval built up here as a foundation for understanding the general principal that all confidence intervals are based on. By building an understanding of how close/far estimates like the sample mean tend to be from the true value/population mean, we will also know how close/far the true value/population mean tends to be from the sample mean. ►► 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 courses at the University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials ), 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!