Useful Links
Statistics
Statistics
1. Introduction to Statistics
2. Data Collection and Sampling
3. Descriptive Statistics: Organizing and Summarizing Data
4. Probability Theory
5. Probability Distributions
6. Sampling Distributions
7. Inferential Statistics: Estimation
8. Inferential Statistics: Hypothesis Testing
9. Analysis of Variance (ANOVA)
10. Correlation and Regression
11. Chi-Square Tests
12. Non-Parametric Statistics
13. Experimental Design
14. Advanced Topics in Statistics
Inferential Statistics: Estimation
Point Estimation
Properties of Estimators
Unbiasedness
Efficiency
Minimum Variance
Comparison of Estimators
Consistency
Large Sample Properties
Sufficiency
Complete Information
Common Point Estimators
Sample Mean
Sample Proportion
Sample Variance
Interval Estimation (Confidence Intervals)
Concept of Confidence Intervals
Interpretation
Confidence vs. Probability
Understanding Confidence Levels
Common Confidence Levels
90% Confidence
95% Confidence
99% Confidence
Relationship to Alpha Level
Confidence Interval for a Population Mean
Population Standard Deviation Known (Z-interval)
Formula
Assumptions
Critical Values
Population Standard Deviation Unknown (t-interval)
Formula
Degrees of Freedom
t-Distribution Properties
Confidence Interval for a Population Proportion
Formula
Assumptions
Sample Size Requirements
Wilson Score Interval
Confidence Interval for Population Variance
Chi-Square Distribution
Formula
Degrees of Freedom
Confidence Interval for Difference Between Means
Independent Samples
Paired Samples
Determining Sample Size
For Means
Margin of Error
Confidence Level Effects
For Proportions
Conservative Approach
Prior Information Use
Factors Affecting Sample Size
Confidence Level
Margin of Error
Population Variability
Previous
6. Sampling Distributions
Go to top
Next
8. Inferential Statistics: Hypothesis Testing