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Important vocab
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Statistics
Collecting and organizing data from samples to make assumptions of the populations
Statistical Study
A process of collecting data and making inferences from the data to answer questions.
Population
A large group of people or other things.
Sample
A subset of a population that is studied statistically.
Unit
A member of sample
Population Parameter
A number that describes population
Subject
A human unit
Observational Study
A study in which this person is observing characteristics or behaviors without trying to affect them
Experiment
A study in which the person conducting the study assigns units to different treatments and observes the effects of these treatments.
Variables:
Explanatory ( or Independent) Variable
The variable is adjustable
Response (or Dependent) Variable
The variable is measured
Cofounding (or lurking) Variable
A variable that is unaccounted for and has an effect on both explanatory and response variables
Control (control)
Accounting for confounding variables so you can infer changes in the response variable are due to the explanatory variable
Control group
The group that receives no special treatments
Control variable
A variable that is held constant in order to prevent it from becoming cofounding variable
Experimental Designs:
Completely Randomized Design
Units are designed for treatment at random and not group based on any characteristic
Randomized Block Design
Units with similar characteristics are grouped into blocks based on potential confounding variables, and units in each group are assigned to treatments at random
Matched Pairs Design
Units with similar characteristics are paired, and one unit in each pair is assigned to a treatment and the other is assigned to the control group
Blinding:
Double Blind Experiment
Not letting the subjects know their treatment group
AND not letting the observers know which treatment group the subjects are in
Single Blind Experiment:
EITHER not letting the subjects know their treatment group OR not letting the observers know which treatment group the subjects are in
Placebo
pill or medicine that has no effect
Correlation vs. Causation between two variables:
Correlation
A visible positive or negative trend between two variables (Example:
Shark attacks tend to increase as ice cream sales increase - positive correlation)
Causation:
Adjusting one variable causes changes in the other (Example: Taking a medicine speeds up recovery from a disease)
Miscellaneous Terms:
Replication
Being able to repeatedly receive consistent results in order to ensure the results are correct
Law of Large Numbers:
Repeating something many times makes experimental results closer to the expected results
Census:
Observing or surveying all people of a population