TY  - GEN
AU  - Chieh Chen Bowen
TI  - Straightforward Statistics
SN  - 9781483358918
U1  - 519.5 CHE 
PY  - 2016///
CY  - New Delhi
PB  - Sage
KW  - Statistics
N1  - Chapter 1: Introduction to Statistics 
What Is Statistics?
 
Population Versus Sample
 
Descriptive Statistics and Inferential Statistics
 
Sampling a Population
 
Random Sampling Methods
 
Simple Random Sampling
 
Systematic Sampling
 
Stratified Sampling
 
Cluster Sampling
 
Scales of Measurement
 
Nominal Scale
 
Ordinal Scale
 
Interval Scale
 
Ratio Scale
 
Variable Classifications
 
Discrete Versus Continuous Variables
 
Independent Variables Versus Dependent Variables
 
Required Mathematical Skills for This Course
 
Statistical Notation
 
Exercise Problems
 
Solutions With EXCEL Step-by-Step Instructions When Needed
 
Chapter Resources
 
What You Learned
 
Key Words
 
Learning Assessment
 
  Chapter 2: Summarizing and Organizing Data 
What You Know and What Is New
 
Frequency Distribution Table
 
Organizing and Summarizing Categorical Variables
 
Organizing and Summarizing Numerical Variables
 
Graphs
 
Bar Graphs and Histograms
 
Pie Charts
 
Common Distribution Shapes
 
Uniform Distribution
 
Normal Distribution
 
Skewed Distribution
 
EXCEL Step-by-Step Instruction for Calculating ?X from Frequency Table and Constructing a Bar Graph
 
Exercise Problems
 
Solutions
 
Chapter Resources
 
What You Learned
 
Key Words
 
Learning Assessment
 
  Chapter 3: Descriptive Statistics 
What You Know and What Is New
 
Measures of Central Tendency
 
Mode
 
Median
 
Mean
 
Measures of Variability
 
Range

N2  - Straightforward Statistics is written in plain language and connects material in a clear, logical manner to help students across the social and behavioral sciences develop a “big picture” understanding of foundational statistics. Each new chapter is purposefully connected with the previous chapter for a gradual accrual of knowledge from simple to more complex concepts—this effective, cumulative approach to statistics through logical transitions eases students into statistics and prepares them for success in more advanced quantitative coursework and their own research
ER  -