Description
- STATISTICAL METHODS. The sides of the bars of the histogram are drawn at the class boundaries and their heights are the frequencies or the relative frequencies (frequency/sample size). In the histogram, we clearly see that the distribution of the data centered about the point 9.34.
- ADA is a class in statistical methodology: its aim is to get students to understand something of the range of modern1 methods of data analysis, and of the consider- ations which go into choosing the right method for the job at hand (rather than distorting the problem to fit the methods you happen to know).
This book describes the algorithms and procedures used to fit statistical models to data. The material covered is taught in the Advanced Statistical Computing course in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. Advanced Statistics Statistical hypothesis testing Statistical testing principle Example Suppose we have a coin, and that our hypothesis is that the coin is fair, i.e. That P(head) = P(tail) = 1/2. Suppose we toss a coin n= 25 times and observe 21 heads. The probability of actually observing these data under the model is P(21 heads, 4 tails) = 0.0004.
Ideal for non-math majors, Advanced and Multivariate Statistical Methods teaches students to interpret, present, and write up results for each statistical technique without overemphasizing advanced math. This highly applied approach covers the why, what, when and how of advanced and multivariate statistics in a way that is neither too technical nor too mathematical. Students also learn how to compute each technique using SPSS software.
New to the Sixth Edition
- Instructor ancillaries are now available with the sixth edition.
- All SPSS directions and screenshots have been updated to Version 23 of the software.
- Student learning objectives have been added as a means for students to target their learning and for instructors to focus their instruction.
- Key words are reviewed and reinforced in the end of chapter material to ensure that students understand the vocabulary of advanced and multivariate statistics.
About the Authors
Craig A. Mertler
Phoenix, AZ, United States
Craig A Mertler, Ph.D., is a Professor of Educational Leadership and Innovation and Director of the Doctoral Program in Leadership and Innovation at Arizona State University, Phoenix, Arizona, USA.
Statistical Methods Definition
Rachel Vannatta Reinhart, Ph.D. is a Professor of Assessment, Research and Statistics in the School of Educational Foundations, Leadership and Policy at Bowling Green State University.
Subject Categories
Understanding Advanced Statistical Methods Pdf
- Behavioral Sciences
- Psychological Science
- Research Methods
- Quantitative and Statistical Methods
BISAC Subject Codes/Headings:
- PSY030000
- PSYCHOLOGY / Research & Methodology
- SOC024000
- SOCIAL SCIENCE / Research
eResource
Instructor Resources
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