1/18
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai | Chat |
|---|
No analytics yet
Send a link to your students to track their progress
Variable
A raw characteristic that can take on different values and describe a situation
Data
The raw material collected by observing, measuring, counting, or asking questions
Population
The entire group being studied
Sample
A smaller group selected from the population
Descriptive statistics
Collecting, organizing, summarizing, and presenting data
Inferential statistics
Using a sample to generalize or predict about a larger population
Random sampling
Selecting subjects using chance methods so everyone has an equal shot
Systematic sampling
Selecting every kth subject from a numbered list
Observational study
Watching whats happening without interference
Experimental study
Manipulating a variable to see how it affects another variable
Qualitative
Data sorted into categories or labels - not numbers you’d do math on
Quantitative
Data thats numerical - can be ordered, ranked, or measured
Discrete
Values you can count - whole numbers, no in-between
Continuous
Values obtained by measuring - any value between two points
Nominal
Categories only. Just labels
EX: eye color, political party
Ordinal
Categories that can be ranked
EX: class rank, letter grades
Interval
Ranked with equal gaps between values
EX: Temperature (F), IQ score
Ratio
Everything an interval has, plus a true zero
EX: weight, height, age
Confounding variables
an outside variable that affects the outcome but wasnt separated from the independent variable
EX: subjects on an exercise program also happen to eat better without telling the researcher