Description
Test Bank for Statistics for Statistics and Data Analysis for Social Science 2nd Edition Krieg
Downloadable Instructor Test Bank for Statistics for Statistics and Data Analysis for Social Science 2nd Edition By Eric J. Krieg, ISBN: 9781544352657, ISBN: 9781544398884
Table Of Content
Introduction
Concepts
Why Statistics?
Variables
Measurement
Graphical Representation of Data (What Data “Look” Like)
Validity and Reliability
Chapter Summary
Introduction
Toxic Waste and “Superfund”
Frequency Tables
Superfund Sites: Frequency Table for a Nominal Variable
Frequency Table for an Ordinal Variable
Frequency Table for an Interval/Ratio Variable
Chapter Summary
Introduction
Averages and Energy Consumption
Definitions of Mode, Median, and Mean
Calculating Measures of Central Tendency With Raw Data
Calculating Measures of Central Tendency With Grouped Data
Chapter Summary
Introduction
The Distribution of Education in the United States
Range
Interquartile Range
Mean Absolute Deviation
Variance (S2)
Standard Deviation (S)
Standard Deviation and the Normal Curve
Chapter Summary
Introduction
Intelligence, Life Chances, and Inequality
The Fundamentals of Probability
Probability Using Frequency Tables
Probability and the Normal Curve
Using z-Scores to Find Percentiles
Chapter Summary
Introduction
The Politics of Sampling: Global Warming and Political Party Affiliation
Sampling and Statistics
The Standard Error of the Mean
The Standard Error of the Proportion
Other Confidence Intervals
The t Distribution
Hypotheses and Testing Differences Between Means
Potential Errors: Type I and Type II
Chapter Summary
Introduction
The “Environmental Decade”
Cross-tabulation Tables
Cross-tabulation and the Chi-Square Test of Statistical Significance
Chapter Summary
Introduction
Social Institutions and Social Control
Nominal Measures of Association
Ordinal Measures of Association
Chapter Summary
Introduction
Smoking on Campus
Analysis of Variance
Chapter Summary
Introduction
Unequal America
Scatterplots: The Underlying Logic Behind Correlation
Correlation
Linear Regression
Chapter Summary