An introduction to statistical analysis in research : with applications in the biological and life sciences / Kathleen F. Weaver [and four others]. 6

By: Weaver, Kathleen F., 4 0 16, [, author.] | [, ] |
Contributor(s): 5 6 [] |
Language: Unknown language code Summary language: Unknown language code Original language: Unknown language code Series: ; Hoboken, NJ : John Wiley & Sons, [2018];©201846Edition: Description: 1 online resource (xiii, 594 pages.)Content type: text Media type: computer Carrier type: online resourceISBN: 9781119454205ISSN: 2Other title: 6 []Uniform titles: | | Related works: 1 40 6 []Subject(s): -- 2 -- 0 -- -- | -- 2 -- 0 -- 6 -- | 2 0 -- | -- -- 20 -- | | -- -- Data processing.;Data processing.;Statistical methods. Mathematical statistics;Multivariate analysis;Life sciences -- -- 20 -- | -- -- -- 20 -- --Genre/Form: Electronic books. -- 2 -- Additional physical formats: DDC classification: | 519.5 LOC classification: | QA276.4 | .W43 20182Other classification:
Contents:
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.;Measures of Central Tendencies: Describing a PopulationMean; Median; Mode; 2.2 Distribution; Summary; Nuts and Bolts; Describing the Shapes of Histograms; Outliers; Quantifying the p-Value and Addressing Error in Hypothesis Testing; Summary; Data Transformation; Log Transformation; Square-Root Transformation; Arcsine Transformation; Building Blocks; Tutorials; 2.3 Descriptive Statistics in Excel; Mean; Median; Mode; Variance; Standard Deviation; Skewness; Kurtosis; Descriptive Statistics Command; 2.4 Descriptive Statistics in SPSS; 2.5 Descriptive Statistics in Numbers; Mean; Median; Mode.;VarianceStandard Deviation; 2.6 Descriptive Statistics in R; Mean; Median; Mode; Variance; Standard Deviation; Skewness; Kurtosis; 3 Showing Your Data; 3.1 Background on Tables and Graphs; 3.2 Tables; 3.3 Bar Graphs, Histograms, and Box Plots; Background; Types of Bar Graphs; Box Plots; Tutorials; How to Make a Bar Chart in Excel; How to Make a Bar Chart in SPSS; How to Make a Bar Chart in Numbers; How to Make a Bar Chart in R; How to Make a Box Plot in SPSS; How to Make a Box Plot in R; How to Make a Histogram in Excel; How to Make a Histogram in SPSS; How to Make a Histogram in Numbers.;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.;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.
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Item type Current location Home library Collection Call number Status Date due Barcode Item holds
Book PLM
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Circulation Section 		Circulation-Circulating QA276.4 .I568 2018 (Browse shelf) Available C-EB136
Total holds: 0

56

Includes bibliographical references and index.

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.;Measures of Central Tendencies: Describing a PopulationMean; Median; Mode; 2.2 Distribution; Summary; Nuts and Bolts; Describing the Shapes of Histograms; Outliers; Quantifying the p-Value and Addressing Error in Hypothesis Testing; Summary; Data Transformation; Log Transformation; Square-Root Transformation; Arcsine Transformation; Building Blocks; Tutorials; 2.3 Descriptive Statistics in Excel; Mean; Median; Mode; Variance; Standard Deviation; Skewness; Kurtosis; Descriptive Statistics Command; 2.4 Descriptive Statistics in SPSS; 2.5 Descriptive Statistics in Numbers; Mean; Median; Mode.;VarianceStandard Deviation; 2.6 Descriptive Statistics in R; Mean; Median; Mode; Variance; Standard Deviation; Skewness; Kurtosis; 3 Showing Your Data; 3.1 Background on Tables and Graphs; 3.2 Tables; 3.3 Bar Graphs, Histograms, and Box Plots; Background; Types of Bar Graphs; Box Plots; Tutorials; How to Make a Bar Chart in Excel; How to Make a Bar Chart in SPSS; How to Make a Bar Chart in Numbers; How to Make a Bar Chart in R; How to Make a Box Plot in SPSS; How to Make a Box Plot in R; How to Make a Histogram in Excel; How to Make a Histogram in SPSS; How to Make a Histogram in Numbers.;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.;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.

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