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Introduction.
Definitions.
Variables.
Values.
Independent Variables.
Dependent Variables.
Nominal Measured Variables.
Ordinal Measured Variables.
Interval and Ratio Measured Variables.
Hypothesis.
Population.
Sample.
Generalizability.
Sampling Error.
Significance Level.
Statistical Analysis Decision Tree.
1. Describing Data.
Definitions.
Measures of Central Technology.
Mean.
Median.
Mode.
Standard Deviation.
Percentiles.
Frequency Tables.
Bar Charts or Graphs.
Histograms.
Frequency Polygons and Line Graphs.
Pie Charts.
Data from Popular Publications.
Pie Chart.
Bar Graph.
Line Graph.
Frequency Tables.
Other Frequency Tables and Statistics.
Scholarly Article.
Frequency Tables.
Descriptive Statistics.
SPSS Output.
Frequency Table.
Bar Graph.
Descriptive Statistics.
Summary of Descriptive Statistics, Tables, and Graphs.
2. Understanding Tables.
Definitions.
Cross-tabulations or Contingency Tables.
Rows, Columns, and Cells.
Data from Popular Publications.
Simple Bivariate Table.
Multiple Variables Crosstabs.
Scholarly Article.
Simple Bivariate Table.
Multivariate Crosstabs.
SPSS Output.
Bivariate Tables.
Multivariate Tables.
Summary of Crosstabs or Contigency Tables.
3. Interpreting Relationships.
Definitions.
Chi Square (x 2).
Pearson r correlation coefficient.
Data from Popular Publications.
Scholarly Article.
Pearson r Correlations.
Chi-Square Tests of Significance.
SPSS Output.
Chi-Square Analysis.
Pearson r Correlations.
Summary of Correlations.
4. Explaining Mean Differences.
Definitions.
t-tests.
Analysis of Variance (ANOVA).
Scholarly Article.
t-tests.
Another t-test example.
ANOVA.
Another ANOVA example.
SPSS Output.
Paired Samples t-test.
Independent Samples t-test.
ANOVA.
Summary of Means.
5. Reading Regressions.
Definitions.
Multiple Correlation (R).
Regression Coefficients: B and Beta.
Scholarly Article.
The Enter Method Regression Model.
The Stepwise Method Regression.
SPSS Output.
The Enter Method Regression Model.
The Stepwise Method Regression.
Summary of Regressions.
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Add Interpreting Data, Written in non-technical, everyday language, this supplementary text is a quick guide to understanding data. Readers will learn about and practice working with graphs and tables found in popular and scholarly publications, and understand the output from s, Interpreting Data to the inventory that you are selling on WonderClubX
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Add Interpreting Data, Written in non-technical, everyday language, this supplementary text is a quick guide to understanding data. Readers will learn about and practice working with graphs and tables found in popular and scholarly publications, and understand the output from s, Interpreting Data to your collection on WonderClub |