Straightforward Statistics by Chieh Chen Bowen
Publication details: Sage New Delhi 2016Description: xxi, 586 pages; Illustrations: 22 cmISBN:- 9781483358918
- 519.5 CHE
Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Book | Indian Institute of Management Visakhapatnam General Stacks | Non-fiction | 519.5 CHE (Browse shelf(Opens below)) | Available | 001277 |
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
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.
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