Statistical ratios | Normal distribution | Parametric statistics
In statistics, the t-statistic is the ratio of the departure of the estimated value of a parameter from its hypothesized value to its standard error. It is used in hypothesis testing via Student's t-test. The t-statistic is used in a t-test to determine whether to support or reject the null hypothesis. It is very similar to the z-score but with the difference that t-statistic is used when the sample size is small or the population standard deviation is unknown. For example, the t-statistic is used in estimating the population mean from a sampling distribution of sample means if the population standard deviation is unknown. It is also used along with p-value when running hypothesis tests where the p-value tells us what the odds are of the results to have happened. (Wikipedia).
The T Score formula explained, plus an example of how to find probability using the formula. You can find the calculator mentioned in the video here: https://surfstat.anu.edu.au/surfstat-home/tables/t.php
From playlist t-test
What is a t distribution? Overview of the t test, t score formula, and the t-table. Also, when to use a z score vs. t score.
From playlist Probability Distributions
How to calculate t statistics of different groups for statistics class
Tutorial on how to calculate t statistics for different or unrelated groups (means of different groups). Includes step by step prices of how to calculate t statistics, degrees of freedom, and look up t values. Playlist on t statistics http://www.youtube.com/playlist?list=PL8B759A5C1C5C1
From playlist t-tests of Independent and Dependent Groups
Power of a T Test 1 Sample Mean
I explain the differences of finding Power of a t-Test compared to Power of a z-Test. Find free review test, useful notes and more at http://www.mathplane.com If you'd like to make a donation to support my efforts look for the "Tip the Teacher" button on my channel's homepage www.YouTube.c
From playlist AP Statistics
What is the t-distribution? An extensive guide!
See all my videos at http://www.zstatistics.com/videos/ 0:00 Introduction 2:17 Overview 6:06 Sampling RECAP 12:27 Visualising the t distribution 14:24 Calculating values from the t distribution (EXCEL and t-tables!)
From playlist Distributions (10 videos)
Statistic vs Parameter & Population vs Sample
This stats video tutorial explains the difference between a statistic and a parameter. It also discusses the difference between the population and sample. It includes examples such as the sample mean, population mean, sample standard deviation, population standard deviation, sample propo
From playlist Statistics
t Test Write Up of a Hypothesis Test of an Unknown Population Mean
How to perform and write up a hypothesis test [t test] of an unknown population mean [In accordance with AP Statistics requirements]
From playlist Unit 9: t Inference and 2-Sample Inference
When to choose a t-score or z-score with an easy to follow flowchart. Differences between the t-score and z-score. Check out my Statistics Handbook: https://www.statisticshowto.com/the-practically-cheating-statistics-handbook/ Thanks for your support!
From playlist Hypothesis Tests and Critical Values
This video explains how to determine mean, median and mode. It also provided examples. http://mathispower4u.yolasite.com/
From playlist Statistics: Describing Data
Small sample hypothesis test | Inferential statistics | Probability and Statistics | Khan Academy
Courses on Khan Academy are always 100% free. Start practicing—and saving your progress—now: https://www.khanacademy.org/math/statistics-probability/significance-tests-one-sample/more-significance-testing-videos/v/small-sample-hypothesis-test Small Sample Hypothesis Test Watch the next
From playlist Inferential statistics | Probability and Statistics | Khan Academy
From playlist STAT 200 Video Lectures
T-statistic confidence interval | Inferential statistics | Probability and Statistics | Khan Academy
Courses on Khan Academy are always 100% free. Start practicing—and saving your progress—now: https://www.khanacademy.org/math/statistics-probability/confidence-intervals-one-sample/old-confidence-interval-videos/v/t-statistic-confidence-interval T-Statistic Confidence Interval (for small
From playlist Inferential statistics | Probability and Statistics | Khan Academy
07b Data Analytics: Hypothesis Testing
Lecture on hypothesis testing.
From playlist Data Analytics and Geostatistics
Python for Data Analysis: Hypothesis Testing and T-Tests
This video covers the basics of statistical hypothesis testing and t-tests in Python. This video explains the basics of statistical hypothesis testing and shows how to run one-way, two-way and paired t-tests in Python. Subscribe: ► https://www.youtube.com/c/DataDaft?sub_confirmation=1 Th
From playlist Python for Data Analysis
Introduction to Probability and Statistics 131B. Lecture 10.
UCI Math 131B: Introduction to Probability and Statistics (Summer 2013) Lec 10. Introduction to Probability and Statistics View the complete course: http://ocw.uci.edu/courses/math_131b_introduction_to_probability_and_statistics.html Instructor: Michael C. Cranston, Ph.D. License: Creativ
From playlist Introduction to Probability and Statistics 131B
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
Jamovi: Independent samples T test
From playlist Jamovi
One Sample t Test Framework with Gardening Example (15-3)
The one sample z test is a parametric procedure that tests whether a single sample mean is significantly different than a population mean when the standard deviation of the population (σ) is UNKNOWN. We will learn the research design for the IV and DV, the assumptions for the test, how to
From playlist Single-Sample Hypothesis Tests (z, t, & p) - WK 15 QBA 237
How to Compare Two Samples Using t Tests (11-1)
The most basic and most popular inferential statistic – especially for beginning statistics students – is the t test. The t test is wonderful because it allows us to compare two samples. This opens up a world of possibility for our research. Researchers often want to compare two (or more)
From playlist WK11 Independent Sample t Tests and Paired t Tests - Online Statistics for the Flipped Classroom