Author: James E. HigdonPublisher:
ISBN:
Category :
Languages : en
Pages : 62
Book Description
The Prediction of Graduate School Achievement from Undergraduate Grade-print Averages and Admission Test for Graduate Study in Business Scores
Author: James E. HigdonPublisher:
ISBN:
Category :
Languages : en
Pages : 62
Book Description
The Prediction of Graduate School Achievement from Undergraduate Grade-point Averages and Admission Test for Graduate Study in Business Scores
Author: James E. HigdonPublisher:
ISBN:
Category : Academic achievement
Languages : en
Pages : 124
Book Description
Predicting Graduate School Success
Author: Gerald Victor LannholmPublisher:
ISBN:
Category : Graduate Record Examination
Languages : en
Pages : 56
Book Description
Quantitative Evaluation of Standardized Predictors of Graduate School Performance at Western Washington University
Author: David EmmickPublisher: Lulu.com
ISBN: 0557173310
Category : Education
Languages : en
Pages : 73
Book Description
Validity coefficients of predictors of graduate school success at Western Washington University fall in the range of .2 to .4 typically found in similar studies. Data from 2,323 students for the period 1976 and 1980 were analyzed. The correlation with GGPA was .19 for GREA; .05 for GREQ; .10 for GREV; .14 for MAT; and, .34 for VGPA. Correlations for selected subpopulations show some increase in the correlation coefficients over the total group. Subgroup correlations are compared with median correlations from previous studies. The MAT and GREV have high correlations with each other and correlate similarly with other variables. The MAT and GREV would appear to be equivalent measures. In an attempt to enlarge on the meaning of success, two criterion variables, GGPA and TIME, were analyzed. A canonical correlation of .34 (redundancy =.055) was found between these criteria and the group of predictors: GREA, GREV, GREQ, MAT, UGPA.
Resources in Education
Author: Publisher:
ISBN:
Category : Education
Languages : en
Pages : 836
Book Description
A Classification Model for Predicting Academic Performance for Master of Business Administration Students at Michigan State University
Author: Robert George HarrisPublisher:
ISBN:
Category : Business education
Languages : en
Pages : 212
Book Description
Predictors of Success in Graduate School at Texas A & M University with Emphasis on the Analytic Score on the Graduate Record Examination
Author: Lana Jean CookseyPublisher:
ISBN:
Category : Graduate Record Examination
Languages : en
Pages : 388
Book Description
Excel 2016 for Business Statistics
Author: Thomas J. QuirkPublisher: Springer
ISBN: 3319389599
Category : Business & Economics
Languages : en
Pages : 257
Book Description
This book shows the capabilities of Microsoft Excel in teaching business statistics effectively. Similar to the previously published Excel 2010 for Business Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical business problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in business courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Business Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.
Research in Education
Author: Publisher:
ISBN:
Category : Education
Languages : en
Pages : 1216
Book Description
Smoothing Methods in Statistics
Author: Jeffrey S. SimonoffPublisher: Springer Science & Business Media
ISBN: 0387947167
Category : Mathematics
Languages : en
Pages : 356
Book Description
Focussing on applications, this book covers a very broad range, including simple and complex univariate and multivariate density estimation, nonparametric regression estimation, categorical data smoothing, and applications of smoothing to other areas of statistics. It will thus be of particular interest to data analysts, as arguments generally proceed from actual data rather than statistical theory, while the "Background Material" sections will interest statisticians studying the field. Over 750 references allow researchers to find the original sources for more details, and the "Computational Issues" sections provide sources for statistical software that use the methods discussed. Each chapter includes exercises with a heavily computational focus based upon the data sets used in the book, making it equally suitable as a textbook for a course in smoothing.
