Statistical hypothesis testing

P-value

In null-hypothesis significance testing, the p-value is the probability of obtaining test results at least as extreme as the result actually observed, under the assumption that the null hypothesis is correct. A very small p-value means that such an extreme observed outcome would be very unlikely under the null hypothesis. Reporting p-values of statistical tests is common practice in academic publications of many quantitative fields. Since the precise meaning of p-value is hard to grasp, misuse is widespread and has been a major topic in metascience. (Wikipedia).

P-value
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Bonus01 The p value

A bonus video to my series on medical statistics. Why doing research in private practice is important and understanding the p-value in medical statistics.

From playlist Medical Statistics

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Absolute Value Equations

http://mathispower4u.wordpress.com/

From playlist Solving Absolute Value Equations

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How to calculate p-values

In this StatQuest we learn how to calculate p-values using both discrete data (like coin tosses) and continuous data (like height measurements). At the end, we explain the differences between 1 and 2-sided p-values and why you should avoid 1-sided p-values if possible. NOTE: This StatQues

From playlist StatQuest

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p-values: What they are and how to interpret them

This StatQuest is all about interpreting p-values. You've seen them online or in publications, or heard about them, whispered in dark, rave filled dance clubs, but you've never understood what they were all about. This 'Quest is here to explain everything you wanted to know about how to in

From playlist StatQuest

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SAT math Q30 calculator allowed #shorts

For a polynomial p(x), the value of p(3) is -2. What must be true about p(x)? Take My SAT Quiz Here: https://pythagoreanmath.com/quizzes/sat-quiz/ #shorts #maths #sat #satmath #satprep #mathematics #math #college

From playlist #shorts mathematicsonline

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Intro To The F Statistic

How the F Statistic is used in ANOVA and Regression. How the p-value needs to be considered along with an F-value in your test results.

From playlist Hypothesis Tests and Critical Values

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p values – A Technical Deep Dive

Target audience: scientists who read or write studies containing p-values. Created for 3blue1brown’s Summer of Math Exploration 1.

From playlist Summer of Math Exposition Youtube Videos

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False Discovery Rates, FDR, clearly explained

One of the best ways to prevent p-hacking is to adjust p-values for multiple testing. This StatQuest explains how the Benjamini-Hochberg method corrects for multiple-testing and FDR. For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd

From playlist High Throughput Sequencing

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Selecting the BEST Regression Model (Part B)

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

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The Diffie-Hellman Problem and Security of ElGamal Systems

Cryptography and Network Security by Prof. D. Mukhopadhyay, Department of Computer Science and Engineering, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in

From playlist Computer - Cryptography and Network Security

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Application of Elliptic Curves to Cryptography

Cryptography and Network Security by Prof. D. Mukhopadhyay, Department of Computer Science and Engineering, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in

From playlist Computer - Cryptography and Network Security

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Dong Zhang (7/27/22): Higher order eigenvalues for graph p-Laplacians

Abstract: The spectrum of the graph p-Laplacian is closely related to many properties of the graph itself. In particular, when p=1, the second eigenvalue coincides with the Cheeger constant. The p-Laplacian, for p greater than 1 and less than 2, can be seen as an extrapolation between the

From playlist Applied Geometry for Data Sciences 2022

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IntroNPTests.3.HLAB with Bernoulli and p-values

This video is brought to you by the Quantitative Analysis Institute at Wellesley College. The material is best viewed as part of the online resources that organize the content and include questions for checking understanding: https://www.wellesley.edu/qai/onlineresources

From playlist Intro To Non-Parametric Tests (updated)

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What are p-values?? Seriously.

See all my videos at https://www.zstatistics.com/videos 0:00 Intro 2:00 Coin example 8:52 History of p-values 13:06 One-tailed vs two-tailed p-values 20:02 Example of p-values in journal articles Research article: Si, Y., Xiao, X., Xia, C., Guo, J., Hao, Q., Mo, Q., ... & Sun, H. (2020).

From playlist Health Stats IQ

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Introduction to Probability and Statistics 131A. Lecture 9. Conditional Probability

UCI Math 131A: Introduction to Probability and Statistics (Summer 2013) Lec 09. Introduction to Probability and Statistics: Conditional Probability View the complete course: http://ocw.uci.edu/courses/math_131a_introduction_to_probability_and_statistics.html Instructor: Michael C. Cransto

From playlist Math 131A: Introduction to Probability and Statistics

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How To Solve an Absolute Value Equation and Test Our Solutions when They Do Not Work

Learn how to solve absolute value equations with extraneous solutions. Absolute value of a number is the positive value of the number. For instance, the absolute value of 2 is 2 and the absolute value of -2 is also 2. To solve an absolute value problem, we first isolate the absolute value

From playlist Solve Absolute Value Equations

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An introduction to perfectoid spaces and the tilting... - M. Morrow - Workshop 2 - CEB T1 2018

Matthew Morrow (CNRS – Sorbonne Université) / 09.03.2018 An introduction to perfectoid spaces and the tilting correspondence. This expository survey will aim to provide an introduction to Scholze’s formalism of tilting, which serves as a sort of transfer principle through which p-adic pr

From playlist 2018 - T1 - Model Theory, Combinatorics and Valued fields

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68–95–99.7 rule | Reproducibility | False positive rate | Likelihood principle | Sign test | F-distribution | Outcome (probability) | Chi-squared distribution | Cumulative distribution function | Quantile function | Null hypothesis | Counternull | Fisher's method | False discovery rate | Central limit theorem | Bayesian statistics | Experiment | Pearson's chi-squared test | One- and two-tailed tests | F-test | Bonferroni correction | P-rep | Student's t-distribution | Lady tasting tea | Q-value (statistics) | Coin flipping | Fisher's exact test | Variance | Generalized p-value | Statistical Methods for Research Workers | Student's t-test | Multiple comparisons problem | Posterior probability | Misuse of p-values | Binomial coefficient | Realization (probability) | Probability distribution | Z-test | Normal distribution | Statistical hypothesis testing | Scalar (mathematics) | Random variable | Certainty | Binomial distribution | Fair coin | Holm–Bonferroni method | Test statistic | Pierre-Simon Laplace | Conditional expectation | Statistical significance | Harmonic mean p-value