QA 233 (Basic Business Statistics)
Final Exam Study Checklist
(Spring Quarter 2008-2009 students disregard the topics in red)
Interval Estimation
Some Important Definitions
Sampling Error
Confidence Level/Confidence Coefficient
Confidence Interval/Interval Estimate
Large-Sample Interval Estimation For the Population Mean m
Sampling Error
When To Use
How To Use
Small-Sample Interval Estimation For the Population Mean m Of A Normally Distributed Population
Sampling Error
Student's t Distribution
How To Use
Interval Estimation For the Population Proportion p
Sampling Error
When To Use
How to use
Sample Size Estimation
for constructing an interval estimate of the Population Mean m
for constructing an interval estimate of the Population Proportion p
Hypothesis Testing - One Sample Tests
Testing a Hypothesis about a Mean m
Large Sample from any Population (Critical Value Approach)
Small Sample from a Normally Distributed Population with a Known Standard Deviation s (Critical Value Approach)
Small Sample from a Normally Distributed Population with an Unknown Standard Deviation s (Critical Value Approach)
- (Critical Value Approach)
Testing a Hypothesis about a Proportion p
P-value Approach to Hypothesis Testing
Hypothesis Testing - Two Sample Tests
Testing a Hypothesis about the Difference Between Two Means m1 - m2 (Independent Samples)
Large Sample Case (n1 ≥ 30 and n2 ≥ 30) or the populations are normal, and the population standard deviations s1 and s2 are known:
Interval Estimate
- Hypothesis Test
1.Large Sample Case (n1 ≥ 30 and n2 ≥ 30) and the population standard deviations s1 and s2 are unknown:
Interval Estimate
- Hypothesis Test
1.Small Sample Case (n1 < 30 and/or n2 < 30), the populations are normal, and the population standard deviations s1 and s2 are known and equal:
Interval Estimate
- Hypothesis Test
Small Sample Case (n1 < 30 and/or n2 < 30), the populations are normal, and the population standard deviations s1 and s2 are unknown but equal:
Interval Estimate
- Hypothesis Test
Testing a Hypothesis about the Mean Difference between Matched Observations md (Matched Observations)
Large Sample from any Population:
Interval Estimate
- Hypothesis Test
Small Sample from a Normally Distributed Population with a Known Standard Deviation sd:
Interval Estimate
- Hypothesis Test
Small Sample from a Normally Distributed Population with an Unknown Standard Deviation sd:
Interval Estimate
- Hypothesis Test
Testing a Hypothesis about the Difference Between Two Proportions p1 - p2 (Independent Samples)
Interval Estimate
- Hypothesis Test
Simple Linear Regression Analysis
Interpreting the Model
The Dependent Variable Y
The Independent Variable X
The Population Y-Intercept b0 and the Estimated Y-Intercept b0
The Population Slope b1 and the Estimated Slope b1
Relationship Between the Scatter Diagram and Simple Linear Regression
The Least Squares Criterion and Method
What does least squares mean?
- Calculating
The Estimated Slope b1
- The Estimated Y-Intercept b0
The Population Y-Intercept b0 and the Estimated Y-Intercept b0
The Population Slope b1 and the Estimated Slope b1
The Coefficient of Determination (r2)
Interpretation
Calculation
Relationship Between the Coefficient of Determination and the Least Squares Criterion
Relationship Between the Coefficient of Determination and Pearson's Product-Moment Correlation Coefficient