Statistics is easy!
Statistics is the activity of inferring results about a population given a sample. Historically, statistics books assume an underlying distribution to the data (typically, the normal distribution) and derive results under that assumption. Unfortunately, in real life, one cannot normally be sure of t...
| Main Author: | |
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| Other Authors: | |
| Format: | Electronic |
| Language: | English |
| Published: |
San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) :
Morgan & Claypool Publishers,
c2008.
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| Series: | Synthesis lectures on mathematics and statistics (Online) ;
#1. |
| Subjects: | |
| Online Access: | Abstract with links to full text |
Table of Contents:
- The basic idea
- Bias corrected confidence intervals
- Pragmatic considerations when using resampling
- Terminology
- The essential stats
- Mean
- Why and when
- Calculate
- Example
- Pseudocode & code
- Difference between two means
- Why and when
- Calculate
- Example
- Pseudocode & code
- Chi-squared
- Why and when
- Calculate with example
- Pseudocode & code
- Calculate with example for multiple variables
- Pseudocode & code
- Fisher S exact test
- Why and when
- Calculate with example
- Pseudocode & code
- One-way ANOVA
- Why and when
- Calculate with example
- Statistics is easy
- Pseudocode & code
- Multi-way ANOVA
- Why and when
- Calculate with example
- Pseudocode & code
- Linear regression
- Why and when
- Calculate with example
- Pseudocode & code
- Linear correlation
- Why and when
- Calculate & example
- Pseudocode & code
- Multiple regression
- Multiple testing
- Why and when
- Family wise error rate
- False discovery rate
- Case study: New Mexico's 2004 presidential ballots
- Take a close look at the data
- What questions do we want to ask
- How do we attempt to answer this question
- Next: effect of ethnicity for each machine type
- We have used the following techniques
- What did we find out?