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Experimental Design
Research creates group, giving each a different task, to see who does best at the task - cause & effect
Longitudial Study
Where researchers study longer over time like 6 weeks or 20 years
Rounding rules
4 decimal places beyond original numbers
Sample
Group from population
Population
Parameter, everyone in the group of people the researcher is interested in studyingS
Sampling methods
Random
Stratified
Random sampling
Every subject has the same chance of being picked
Stratified sampling
Places population into groups and then samples - more representitive
Convenience Sampling
What samples are available - always a bias
Variable
Anything you can study in research
Qualitative Variable
Catagorial - dunkin vs starbucks
Quantitative Variable
Represented by a number - age
Discrete Variable
All qualitative, some quantitative - if a number its whole
Continuous Variable
Only a quantitative - if a number, could go on forever
Levels of measurement
Nominal
Ordinal
Interval
Ratio
Nominal
Catagorical data - race, gender, favorite class - each variable defined by a number instead of a name
Ordinal
Number means something - rank ordering, position in a race - not an equal distance between numbers
Interval
Continuous scale - equal distance between two scores - 1 inch to 2 inches, 2 inches to 3 inches - numbers have no true zero, could have no zero or negative numbers
Ratio
Continuous scale - equal distance between two scores - 1 inch to 2 inches, 2 inches to 3 inches - numbers based, has a true zero and no negative numbers - 0 = nothing
Quasi - Experimental
At least one independent variable is not randomly assigned
N
Total number of scores
∑
Summation - add up all the scores - ∑F = N
Relative frequency
Proportion - F/N
Cumulative frequency
How many were at a specific score and below - very top number will always be the same as N
Percentile
Percent version of CF - CF/N*100 - round to 2 decimal places
In question, if asked how many _______
Look to Frequency
In question, if asked proportion
Look to Relative Frequency
In question, if asked what percent
Look to percentile