α (alpha)
Alternative Hypothesis
Analysis of Variance (ANOVA)
Average Deviation
β (beta)
Central Limit Theorem
χ² (Chi-Square)
Confounding Factor
Correlation Coefficient
Critical Region
Critical Value
Degrees of Freedom (df)
The Statistic F
F Test
Histogram
Mean
Mean Square
Median
Mode
Normal Distribution
Null Hypothesis
One-Tailed Test
Parameter
Population
Power
Prediction
Random Sample
Range
Regression
Regression Toward the Mean
Related Measures
Relationship between α, β & Power
Sample Mean (X Bar)
Sampling Distribution
s²
Standard Deviation
Standard Error
Statistic
Statistical Hypothesis
     (see Null Hypothesis)
Statistical Significance
Statistical Test
Sum of Squares
The Statistic t
t Test
Transformation Rules
Two-tailed Test
Type I Error
Type II Error
Unbiased Estimate (→)
Variance
X Bar (See Sample Mean)
The Statistic Z
Z Score

Population
Histogram
Mean
Median
Mode
Range
Average Deviation
Variance
Standard Deviation
Random Sample
Parameter
Statistic
Sample Mean (X Bar)
s²
Sampling Distribution
Unbiased Estimate (→)
Central Limit Theorem
Standard Error
Normal Distribution
Transformation Rules
Z Score
Statistical Test
Critical Region
Critical Value
Two-Tailed Test
One-Tailed Test
The Statistic Z
Null Hypothesis
Statistical Hypothesis
Statistical Significance
α (alpha)
Type I Error
Alternative Hypothesis
β (beta)
Type II Error
Power
Relationship between α, β & Power
Degrees of Freedom (df)
The Statistic t
t Test
The Statistic F
F Test
Sum of Squares
Related Measures
Correlation Coefficient
Regression
Regression Toward the Mean
Prediction
Confounding Factor
χ² (Chi-Square)
Analysis of Variance (ANOVA)
Mean Square