Data Analysis Flashcards
(20 cards)
Discrete data
Can have 0 or whole number values
Ex. Family members & tickets
Numerical (quantitative) data
Contains number or values and can be summarized with mean and median
Continuous
Can have an values including decimals and fractions
Ex. Height, distance, length & time
Categorical (qualitative data)
Can be put in distinctive groups and summarized as totals or percents
Nominal data
Can be written in any order
Binary data
Have two possible values
Ex. Male & Female
Non-binary
Have more than 2 possible values
Ex. Eye Colour
Ordinal Data
Has to be written in a certain order
Ex. strongly agree or disagree
Consumer Price Index
An indicator of consumer prices calculated by the base year and value
CPI in 2010
$116.50
Gunning Fog Index
A measure of the years of schools required to read material easily
0.4(number of words in sentence + percent of hard words)
Population
All individuals or items belonging to a group being studied
Sample
Generally used to represent a population
Simple random sampling
Equally likely and all combinations must be equally likely
Ex. Choosing a student in the cafeteria
Systematic Random sampling
Selecting members at regular intervals
Ex. Every 7th person
Stratified random sampling
Pop. Divided into groups or categories
Ex. Age, gender, grade
Cluster random sampling
Selected groups within a pop.
Ex. Certain department stores
Multiple-stage sampling
Using several levels of random sampling
Ontario - city - neighbourhood
Voluntary response sampling
Speakers corner
Convenience sampling
A sample selected simply because I is easily accessible
Ex. Mall or cafeteria
