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CONSTANT and VARIABLES
Constant
something that STAYS the SAME
Ex: number of days in Janurary
Variable
Something that CAN CHANGE
Ex: stress levels in students
Discrete Variable
only takes on whole-valued numbers
Ex: number of siblings someone has
Continuous Variable
falls in a continuum and allows fractional amounts.
Ex: Reaction time in memory test (1.23s)
SCALES OF MEASUREMENT
Nominal Scale
categories with NO ORDER just names and labels
ex: eye colour (brown, blue)
Ordinal Scale
Broken into categories on a ranked order
Movie ratings (⭐ to ⭐⭐⭐⭐⭐) — ranked order, but gaps aren’t equal.
Interval Scale
Number based, equal spacing but NO TRUE ZERO
Ex: equal spacing but 0 celcius doesn’t mean “nothing”
Ratio Scale
Number based, equal spacing but HAS A TRUE ZERO
Ex: Weight in kg — 0 kg = no weight, and 10 kg is twice as heavy as 5 kg.
Absolute Zero
means NOTHING.
Ex: 0 heartbeats = no heartbeats
2 BRANCHES OF STATS
Descriptive Stats
summarizes/ organizes data
homogeneity of performance= tells you how diff peoples scores are
Inferential Stats
uses data from a sample to make conclusions about a large POPULATION
probability based
CORRELATIONAL STUDIES
Correlational Studies
Predict the association or relationship between two variables.
Confound Variable
a 3rd variable that may indirectly impact the 2 variables in a study
EXPERIMENTAL STUDIES
Experimental Study
allows researchers to determine CAUSE AND EFFECT relationships
Dependant Variable:
what is being MEASURED
lung health
Independant variable
What you MANIPULATE
smoke around ppl
Control Group
did NOT receive any levels of IV
no smoke exposure
Experimental Group
Received SOME levels of IV
smoke exposure
Control Variables
Variables YOU KEEP THE SAME across groups to NOT mess with results
age, diet, exercise
MEAN
Sample mean
_
𝑿 = 𝜮𝑿
———
𝒏
Population Mean
μ = 𝜮𝑿
————
𝑵
Weighted Mean
Mweighted = Σ(𝑀𝑖 ∗ 𝑛𝑖)
——————
Σ𝑛𝑖
(i = group #)
What is sensitive to extreme scores?
Mean
range
Estimated STANDARD DEVIATION