Simplifying Statistics for Graduate Students
Making the Use of Data Simple and User-Friendly
Abstract
One of the greatest barriers to completing a graduate thesis or a doctoral dissertation is statistics. Oftentimes, the journey through graduate school is gratifying when the content courses in the chosen field of study are undertaken. Conversely, the statistics courses are met with trepidation. Many graduate students feel lost when it comes to dealing with data. Simplifying Statistics for Grad Students:Making the Use of Data Simple and User-Friendly is intended to help graduate students move through the barriers that seem formidable but are not. While this book is not a statistics text and does not purport to be such, it introduces graduate students to basic statistical concepts in an easy-to-comprehend manner. It is also a handbook that they can refer back to time and time again. Expertise with data is expected of graduate students. Simplifying Statistics for Grad Students is an antidote for the research and statistics blues.
Schlagworte
T-tests ANOVA procedures Bonferroni correction Chi-square analysis variability non-parametric statistics nonrandom sampling normal curve variables null hypothesis parametric statistics statistical analyses statistical procedures percentiles managing data sets mean median pictographs pie charts platykurtic curve random sampling mode multiple regression thesis writing sampling strategies scattergrams scatterplots dissertation preperation frequency distributions leptokurtic curve graduate student research graphing techniques doctoral dissertation doctoral dissertation research histograms bar graphs correlation coefficients hypothesis testing data analysis data management inferential statistics demographic data analysis demographics descriptive statistics categorical variables- Kapitel Ausklappen | EinklappenSeiten