Module 1: Types of Statistical Studies and Producing Data
Module 1: Types of Statistical Studies and Producing Data
Module 2: Summarizing Data Graphically and Numerically
Module 2: Summarizing Data Graphically and Numerically
Module 2: Summarizing Data Graphically and Numerically
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Module 4: Nonlinear Models
Module 5: Relationships in Categorical Data with Intro to Probability
Module 5: Relationships in Categorical Data with Intro to Probability
Module 5: Relationships in Categorical Data with Intro to Probability
Module 5: Relationships in Categorical Data with Intro to Probability
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 7: Linking Probability to Statistical Inference
Module 7: Linking Probability to Statistical Inference
Module 7: Linking Probability to Statistical Inference
Module 7: Linking Probability to Statistical Inference
Module 7: Linking Probability to Statistical Inference
Module 7: Linking Probability to Statistical Inference
Module 8: Inference for One Proportion
Module 8: Inference for One Proportion
Module 8: Inference for One Proportion
Module 8: Inference for One Proportion
Module 8: Inference for One Proportion
Module 8: Inference for One Proportion
Module 8: Inference for One Proportion
Module 8: Inference for One Proportion
Module 9: Inference for Two Proportions
Module 9: Inference for Two Proportions
Module 9: Inference for Two Proportions
Module 9: Inference for Two Proportions
Module 9: Inference for Two Proportions
Module 9: Inference for Two Proportions
Module 9: Inference for Two Proportions
Module 9: Inference for Two Proportions
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 11: Chi-Square Tests
Module 11: Chi-Square Tests
Module 11: Chi-Square Tests
Resources: Course Assignments
Resources: Course Assignments
« Previous
Reading progress:
114%
Next »
Module 8: Inference for One Proportion
Module 8: Inference for One Proportion
Introduction to Hypothesis Test for a Population Proportion
Introduction to Hypothesis Test for a Population Proportion
What you’ll learn to do: Conduct a hypothesis test for a population proportion.
When we have real world data on population proportions we will have to learn when a situation calls for testing a hypothesis about a population proportion, conduct a hypothesis test and state a conclusion in context. We will interpret the P-value as a conditional probability in the context of a hypothesis test. We will then distinguish the difference between statistical significance from practical importance.
CC licensed content, Shared previously
- Concepts in Statistics. Provided by: Open Learning Initiative. Located at: http://oli.cmu.edu. License: CC BY: Attribution