Evaluating Hypotheses in Light of Evidence (P-Values)
In this conclusion to our 4-part mini-series on hypothesis testing, we'll learn how we make the final decision as to whether we think there is an effect (i.e., in which we would reject the null hypothesis) or not (i.e., in which we would fail to reject the null hypothesis). This decision will require that we understand how to interpret p-values and that we know how to compare our p-value to our alpha level (that is, to our standard of evidence).

▶︎
How to Calculate a One-Sample Z-Test and Effect Size by Hand

▶︎
Establishing a Standard of Evidence (Alpha Levels)

▶︎
Forming Statistical Hypotheses (Null and Alternative)

▶︎
Type I and Type II Errors in Statistical Decision Making

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

▶︎
Türkei – USA Highlights | Gruppe D, FIFA WM 2026 | sportstudio

▶︎
Hypothesis Testing and The Null Hypothesis, Clearly Explained!!!

▶︎
Calculate the P-Value in Statistics - Formula to Find the P-Value in Hypothesis Testing

▶︎
Null Hypothesis, p-Value, Statistical Significance, Type 1 Error and Type 2 Error

▶︎
What Are Z-Scores?

▶︎
When an audition changed TV forever

▶︎
What is the One-Sample T-Test?

▶︎
Covariance, Clearly Explained!!!

▶︎
Hypothesis Testing EXPLAINED

▶︎
LAWYER: If Cops Ask "Where Are You Coming From?" - Say These Words

▶︎
Judge Can’t Stop Laughing At Sovereign Citizen’s Courtroom Meltdown!!!

▶︎
PSYC 2317 - Lecture 10 - Bayesian hypothesis testing

▶︎
P-Value Method For Hypothesis Testing

▶︎
