Stats exam 1 Terms Flashcards
Data
Recorded observations
Statistics
Organizes summaries data
Quantitative data
Numbers
Qualitative data/categorical data
Describes
Variable
Can be measured
Ex. Anxiety rating, Love, hate, height, weight
Independent variable
Variable researchers manipulate
Dependent variable
Constant variable, just the measure
Continuous variable
Could go on indefinitely (height, weight)
Discrete variable
Either or nothing In between
Random selection
Every person has an equal chance to be invited into the research study
Random assignment
Already have sample, and from found a random way to assign
True experiment
Have an IV, DV, Random selection, Random assignment
- cause can be determined
Control group
Group that doesn’t receive treatment
Experimental group
Receives treatment
Placebo
Fake inert substance
Quasi experiment
Has an IV, DV, Random selection but no Random assignment
Positive Correlation
- variables are moving in the same direction
Negative correlation
- variables go in opposite directions
Confound variable
Anything that can mess up anything in your study
Correlation
Can never infer cause
Operational definition
Very precise definition and the variables definition involved
Outlier
An extreme
Nominal scale
- having to do with names
- used to keep info organized
- no math value
Ordinal scale
- ranking scale
- not equal between values
Ex. Ugly scale
2. Laurie is more popular than Sarah
Interval scale
- difference between values are mathematically equal
- has a fake zero (Arbitrary zero)
Ratio scale
- has the features of an interval scale but has an absolute zero
What are the measures of variability ?
1 Variance 2 Standard deviation 3 Standard error 4. Range 5 Interquartile Range (IQR) 6 Semi-interquartile Range (SIQR)
What are the measures of Central Tendency ?
- Mean
- Mode
- Median (even and odd #)
- Weighted mean
- Mode
What is the weakness of using the mean ?
The average can be tricked although there are extremes
What are the three types of modes?
- Unimodal
- bimodal
- multimodal