Show Menu
Cheatography

Statistics Chapter 1 Cheatsheet Cheat Sheet (DRAFT) by

ST370 Prob & Statistics for Engineers NC State, complete

This is a draft cheat sheet. It is a work in progress and is not finished yet.

Defini­tions

Population
The entire collection of subjects we wish to target
Sample
A subset of the population
Univariate
1 variable
Bivariate
2 variables from the same subject
Multiv­ariate
2 or more variables from the same subject
Qualit­ative Data
Catego­rical, descri­ptive (yes/no, blue, etc)
Quanit­ative Data
Numeric (include discrete and continous)
Discrete Data
Primarily count data (the number of...)
Continuous Data
Data from measur­ements (can take on any value w/in some interval)n

Ways to Obtain a Sample

Stratified Sample
helps avoid biased data (If there are 2X white people than Hispanics, then the sample should have 2X white people than Hispanics)
Conven­ience Sampling
Stay away from this, (Choosing to only sample from one assembly line on the shop floor)
Simple Random Sampling
(A name is drawn out of a hat)

Ways to Obtain Data

Experiment
allows us to draw cause and effect b/c of the ways its designed (the best)
Survey
A questi­onnaire or observ­ation
 

The 2 Branches of Statistics

Descri­ptive Statistics
use of graphs, numeric comput­ations to summarize the data
Infere­ntial Statistics
Make and inference using sample statistics back to the population

____ Predicts _____

Sample Mean (x ̅)
Population mean (μ)
Sample Median (x ̃)
Population Median(μ ̃)
Sample Relative Frequency (p ̂)
Population Proportion (p)
Sample Standard Deviation (s)
Population Standard Deviation (σ)
Sample Variance (s2)
Population Variance (σ2)

Things to know how to calculate:

Trimmed Mean
trim a certain percentage of values from the ends of the data set, and then average whats left
Standard deviation (s)
The size of a typical deviation (calcu­lator function)
Variance (s2)
How data points vary from the mean
 

Symbols and Their Meanings

n
sample size
N
population size

Charac­ter­istics of a Graph

Center
tells us what a typical value in the data set should be (If data is fairly symetric use mean, otherwise, use median)
Spread
The range of data
Skew
If the bell curve is shifted left (negative skew) or right (positive skew)

More on Box Plots

Box Plots
They show us outliers visually, and are great for comparing multiple data sets
Quartiles
Values that divide the sorted data set into 4 equal parts.
Q1
The smallest 25% of data
Q2
The median
Q3
The 75% mark
Q4
The max value
percen­tiles
If a value is in the first quartile, then 75% of the values are grater than that, so your in the 75th percentile

Graph Types

Box Plots
Show us outliers visually and great for comparing multiple data sets
Dot Plot
Dots located above their value on the X-axis
Stem and Leaf
The stem of the number includes all but the last digit (so 38|3 would be 38.3)
Histogram
Like box graphs but there's no spaces between columns, can be used with discrete and continuous data
Histogram Shapes:
Symmetric, Right(­pos­itive) skew, Left (negative) skew, Bi-modal (2 peaks), and Multi-­modal (many peaks)