YoVDO

Statistical Inference Concept Statistics for Beginners

Offered By: YouTube

Tags

Statistics & Probability Courses Hypothesis Testing Courses Central Limit Theorem Courses Confidence Intervals Courses Normal Distribution Courses Statistical Inference Courses Sampling Distributions Courses

Course Description

Overview

Explore fundamental statistical inference concepts in this comprehensive 90-minute video tutorial designed for beginners. Learn about sampling from normal distributions, the Central Limit Theorem, sampling distributions, standard error of the mean, confidence intervals, and hypothesis testing. Dive into key topics such as p-values, test statistics, critical values, rejection regions, and statistical errors. Gain a solid foundation in statistical analysis through clear explanations, practical examples, and engaging puppet master analogies. Perfect for students, researchers, and anyone looking to enhance their understanding of statistical inference and its applications in data analysis and decision-making.

Syllabus

Samples from a Normal Distribution | Statistics Tutorial #4 | MarinStatsLectures.
Central Limit Theorem & Sampling Distribution Concepts | Statistics Tutorial | MarinStatsLectures.
Standard Error of the Mean: Concept and Formula | Statistics Tutorial #6 | MarinStatsLectures.
Confidence Interval Concept Explained | Statistics Tutorial #7 | MarinStatsLectures.
Hypothesis Testing Explained | Statistics Tutorial | MarinStatsLectures.
What is a Sampling Distribution? | Puppet Master of Statistics.
What is a Confidence Interval? | Puppet Master of Statistics.
What is a Hypothesis Test and a P-Value? | Puppet Master of Statistics.
Hypothesis Testing: The Big Picture (One Sample t-test) I Statistics 101 #1 | MarinStatsLectures.
Hypothesis Testing: Null & Alternative Hypothesis I Statistics 101 #2 | MarinStatsLectures.
Hypothesis Testing: Test Statistic (one sample t test) I Statistics 101 #3 | MarinStatsLectures.
Hypothesis Testing: Critical values & Rejection Regions I Statistics 101 #4 | MarinStatsLectures.
Hypothesis Testing: P Value (one sample t test) I Statistics 101 #5 | MarinStatsLectures.
Hypothesis Testing: Conclusion (one sample t test) I Statistics 101 #6 | MarinStatsLectures.
Hypothesis Testing: Errors and Power (one sample t test) I Statistics 101 #7 | MarinStatsLectures.


Taught by

MarinStatsLectures-R Programming & Statistics

Related Courses

Statistics One
Princeton University via Coursera
Intro to Statistics
Stanford University via Udacity
Mathematical Biostatistics Boot Camp 1
Johns Hopkins University via Coursera
Statistics: Making Sense of Data
University of Toronto via Coursera
Case-Based Introduction to Biostatistics
Johns Hopkins University via Coursera