Looking for quick and accurate help with SPSS and statistics? Would you like both text AND video solutions to SPSS? SPSS Cheat Sheets is your answer! Created by an award winning professor of statistics and research methods, SPSS Cheat Sheet covers some of the most commonly used statistical procedures in statistics and research methods classes and in business applications. Each procedure shows the quick 'cheats' for running and interpreting a procedure in SPSS. Also included are links to videos created by the author covering the procedures in more detail. SPSS Cheat Sheets is both a text and video course in one!
With this text, you will get quick, reliable, and trustworthy solutions to a number of different statistical analyses. By learning the procedures covered in this text, students should enjoy improved performance in their statistics and research methods classes, and students and professionals alike will increase their data analytic job skills. With data analytic skills highly sought after by employers, this text (along with the included videos) will help you increase these important skills and become more competitive in this area.
SPSS Cheat Sheets covers a number of statistical procedures in SPSS, including Descriptive Statistics and Graphs (Bar Charts, Histograms, Stem and Leaf Plots, Boxplots, Scatterplots, Mean and Standard Deviation) and Inferential Statistics (One Sample t Test, Independent Samples t Test, Dependent Samples t Test, One-Way ANOVA, Repeated Measures ANOVA, Correlation, Regression, Chi-Square Goodness of Fit Test, and Chi-Square Test of Independence). Both text and video access are provided to all of the above procedures.
Table of Contents Chapter 1: Getting Started in SPSS: The Data View and Variable View Tabs Chapter 2: Bar Chart Chapter 3: Histogram Chapter 4: Stem and Leaf Plots Chapter 5: Boxplots Chapter 6: Scatterplot Chapter 7: The Mean and Standard Deviation Chapter 8: The One Sample t Test Chapter 9: The Independent Samples t Test Chapter 10: The Dependent (Paired) Samples t Test Chapter 11: The One-Way ANOVA Chapter 12: The Repeated Measures ANOVA Chapter 13: Correlation Chapter 14: Regression with one Predictor Variable Chapter 15: The Chi-Square Goodness of Fit Test Chapter 16: The Chi-Square Test of Independence
I would say the author made it overly easy for the reader. Sometimes, he even explained obvious concepts, but that is what helped instill the confidence I needed when navigating through this terrain.