An introduction to statistical analysis in research: with applications in the biological and life sciences

5.1 Students t-Test Background5.2 Example t-Tests; One-Sample t-Test; Two-Sample Independent t-Test; Two-Sample Paired t-Test; Hypotheses; Output; Assumptions; Nuts and Bolts; 5.3 Case Study; Experimental Data; Graph; Concluding Statement; Tutorials; 5.4 Excel Tutorial; t-Test Excel Tutorial; Concluding Statement; 5.5 Paired t-Test SPSS Tutorial; Paired-Samples t-Test SPSS Tutorial; Concluding Statement; 5.6 Independent t-Test SPSS Tutorial; Example Dataset; Independent t-Test SPSS Tutorial; Concluding Statement; 5.7 Numbers Tutorial; t-Test Numbers Tutorial; Concluding Statement.

An Introduction to Statistical Analysis in Research; Contents; Preface; Examples from the Book; Acknowledgments; About the Companion Website; 1 Experimental Design; 1.1 Experimental Design Background; Case Study; 1.2 Sampling Design; Random Sample; Systematic Sample; Stratified Sample; Volunteer Sample; Sample of Convenience; Counterbalancing; 1.3 Sample Analysis; 1.4 Hypotheses; 1.5 Variables; Case Study; Types of Variables; 2 Central Tendency and Distribution; 2.1 Central Tendency and Other Descriptive Statistics; Sampling Data and Distribution.

How to Make a Histogram in R3.4 Line Graphs and Scatter Plots; Background; Line Graphs; Scatter Plots; Tutorials; How to Make a Line Graph and Scatter Plot in Excel; How to Make a Line Graph and Scatter Plot in SPSS; How to Make a Line Graph and Scatter Plot in Numbers; How To Make a Line Graph and Scatter Plot in R; 3.5 Pie Charts; Background; Tutorials; How to Make a Pie Chart in Excel; How to Make a Pie Chart in SPSS; How to Make a Pie Chart in Numbers; How to Make a Pie Chart in R; 4 Parametric versus Nonparametric Tests; 4.1 Overview; 4.2 Two-Sample and Three-Sample Tests; 5 t-Test.