In statistics, interval estimation is the use of sample data to estimate an interval of plausible values of a parameter of interest. This is in contrast to point estimation, which gives a single value. The most prevalent forms of interval estimation are confidence intervals (a frequentist method) and credible intervals (a Bayesian method);less common forms include likelihood intervals and fiducial intervals.Other forms of statistical intervals include tolerance intervals (covering a proportion of a sampled population) and prediction intervals (an estimate of a future observation, used mainly in regression analysis). Non-statistical methods that can lead to interval estimates include fuzzy logic. (Wikipedia).
Statistics 5_1 Confidence Intervals
In this lecture explain the meaning of a confidence interval and look at the equation to calculate it.
From playlist Medical Statistics
Calculate Sample Size Interval of A Population Mean
How to calculate the sample size. Includes discussion and visualization of how sample sizes changes when standard deviation, margin of error changes too. Calculating Sample Size of A Proportion https://youtu.be/ni3YAUF7qy4 Derving Equation https://youtu.be/5LvL1kbNoCM Calculating z sco
From playlist Sample Size
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 constructing a confidence interval for one mean when the population standard deviation is known
From playlist Older Statistics Videos and Other Math Videos
Measurement, approximation and interval arithmetic (I) | Real numbers and limits Math Foundations 81
This video introduces interval arithmetic, first in the context of natural numbers, and then for integers. We start with some remarks from the previous video on the difficulties with irrational numbers, sqrt(2), pi and e. Then we give some general results about order (less than, greater
From playlist Math Foundations
Introduction to Estimation Theory
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. General notion of estimating a parameter and measures of estimation quality including bias, variance, and mean-squared error.
From playlist Estimation and Detection Theory
How to calculate margin of error and standard deviation
In this tutorial I show the relationship standard deviation and margin of error. I calculate margin of error and confidence intervals with different standard deviations. Playlist on Confidence Intervals http://www.youtube.com/course?list=EC36B51DB57E3A3E8E Like us on: http://www.facebook
From playlist Confidence Intervals
Finding The Confidence Interval of a Population Proportion Using The Normal Distribution
This statistics video tutorial explains how to find the confidence interval of a population proportion using the normal distribution. It also explains how to calculate the margin of error also known as the error bound for the true proportion. it discusses how to calculate the sample size
From playlist Statistics
Lesson: Calculate a Confidence Interval for a Population Proportion
This lesson explains how to calculator a confidence interval for a population proportion.
From playlist Confidence Intervals
"Estimate the result of a calculation by first rounding each number."
From playlist Number: Rounding & Estimation
Python for Data Analysis: Confidence Intervals
This video covers the basics of making point estimates and creating confidence intervals in Python. Subscribe: â–º https://www.youtube.com/c/DataDaft?sub_confirmation=1 This is lesson 23 of a 30-part introduction to the Python programming language for data analysis and predictive modeling.
From playlist Python for Data Analysis
Confidence Interval In Statistics | Confidence Interval Explained With Example | Simplilearn
In this video, we will discuss the Confidence Intervals in Statistics. This short video concentrates on the impact of the level of confidence on the width of the confidence interval. You will also learn to construct confidence intervals for a population mean with the help of an example, us
From playlist Data Science For Beginners | Data Science Tutorial🔥[2022 Updated]
23. Classical Statistical Inference I
MIT 6.041 Probabilistic Systems Analysis and Applied Probability, Fall 2010 View the complete course: http://ocw.mit.edu/6-041F10 Instructor: John Tsitsiklis License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.041SC Probabilistic Systems Analysis and Applied Probability, Fall 2013
Introduction to R: Confidence Intervals
This is lesson 23 of a 30-part introduction to the R programming language for data analysis and predictive modeling. Link to the code notebook below: Intro to R: Confidence Intervals https://www.kaggle.com/hamelg/intro-to-r-part-23-confidence-intervals This lesson covers point estimates
From playlist Introduction to R
Computing Principal Eigenvalue in Interval Arithmetic
Jiri Benedikt
From playlist Wolfram Technology Conference 2019
Simple Linear Regression (Part E)
Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics
Table of Contents: 00:00 - Introduction 01:05 - Review: Inferential Statistics 01:47 - Introduction to Confidence Intervals 07:10 - Interpreting Confidence Intervals 09:21 - Applying Confidence Intervals 11:22 - Bootstrap Sampling Distributions 12:44 - StatKey: Bootstrap Sampling
From playlist STAT 200 Lectures (OER)
Pierre C. Bellec: De-biasing arbitrary convex regularizers and asymptotic normality
CIRM VIRTUAL EVENT Recorded during the meeting "Mathematical Methods of Modern Statistics 2" the June 05, 2020 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians
From playlist Virtual Conference
Introduction to Confidence Interval Estimation in Business Statistics (Week 13A)
A common use of statistics is to estimate population parameters that we do not know from sample statistics that we do know. In addition to a point estimate (mean), we also create an range of scores that contains the mean a certain percent of the time. We can be specific with the point esti
From playlist Basic Business Statistics (QBA 237 - Missouri State University)
Measurement, approximation + interval arithmetic (II) | Real numbers and limits Math Foundations 82
We continue on with a short intro to interval arithmetic, noting the difference between the laws of arithmetic over the natural numbers and the integers. The case of rational number intervals is also briefly discussed. We end the lecture with some remarks on the vagueness of ``real number'
From playlist Math Foundations
Bullseye! Point Estimators are Always WRONG (13-2)
Using the example of a confidence interval (the ring of a bullseye) and a point estimator (the point of a dart), we explore the relationship between the two. A point estimator is precise but wrong. A confidence interval is accurate, but non-specific. But together, they can tell us how wron
From playlist Estimating Intervals, Point Estimators, and Confidence Intervals (WK 13 - QBA 237)