![]() |
|
Product Description
Significance testing - a core technique in statistics for hypothesis testing - is introduced in this volume. Mohr first reviews what is meant by sampling and probability distributions and then examines in-depth normal and t-tests of significance. The uses and misuses of significance testing are also explored.
Features
- Used Book in Good Condition
Customers Who Bought This Item Also Bought
- Central Tendency and Variability (Quantitative Applications in the Social Sciences)
- Whose Ideas Matter?: Agency and Power in Asian Regionalism (Cornell Studies in Political Economy)
- Europe's Classical Balance Of Power
- Analysis of Covariance (Quantitative Applications in the Social Sciences)
- The Enclave Economy: Foreign Investment and Sustainable Development in Mexico's Silicon Valley (Urban and Industrial Environments)
- International Regimes (Cornell Studies in Political Economy)
- Understanding Regression Analysis: An Introductory Guide (Quantitative Applications In The Social Sciences)
- Interpreting and Using Regression (Quantitative Applications in the Social Sciences, No. 29)
- Neorealism and Its Critics
- Designing Social Inquiry: Scientific Inference in Qualitative Research
*If this is not the "MOHR: UNDERSTANDING SIGNIFICANCE TESTING (P) (Quantitative Applications in the Social Sciences)" product you were looking for, you can check the other results by clicking this link