Topic

P-value hypothesis testing

My Progress

Pug Score

0%

Best Streak

0 in a row

Study Points

+0

Unlock Full Access
Adaptive practice
Video lessons

Overview

Mathematics 11
Statistics
11. Critically analyze society's use of inferential statistics
11.2 P-value hypothesis testing

P-value Hypothesis Testing: Revolutionize Your Statistical Analysis

Dive into the world of P-value hypothesis testing. Learn to quantify evidence, interpret results, and make informed decisions. Elevate your statistical skills and research capabilities today.

What You'll Learn

Compare p-values with significance levels to make hypothesis test decisions
Calculate test statistics and convert them to p-values using the standard normal distribution
Identify right-tailed, left-tailed, and two-tailed tests from alternative hypotheses
Determine when to reject or fail to reject the null hypothesis using p-value criteria
Apply p-value hypothesis testing to both proportion and mean problems

What You'll Practice

1

Testing claims about population proportions using sample data

2

Testing claims about population means with known standard deviations

3

Computing p-values for one-tailed and two-tailed hypothesis tests

4

Comparing p-values to alpha levels to reach statistical conclusions

Why This Matters

P-value hypothesis testing is the most widely used method in scientific research, data analysis, and business decision-making. Understanding p-values helps you interpret study results, evaluate claims with evidence, and make informed decisions based on data in fields from medicine to economics.

This Unit Includes

4 Video lessons
Practice exercises
Learning resources

Skills

P-value
Hypothesis Testing
Test Statistic
Significance Level
Normal Distribution
Statistical Inference
Null Hypothesis
Pug instructor
ns flag

NS Curriculum Aligned