Statistics 1-4 Flashcards
What are three reasons to study statistics?
being an information consumer
understanding/making decisions
evaluating decisions that affect your life
Descriptive statistics
Methods used for Describing a data set
Inferential Statistics
The generalization from sample to population
variability
There is always natural variability
Variable
The things changing from individual to individual
univariate versus Bivariate data
Depends on the number of variables, univariate= one variable
categorical data
QUALITATIVE: relating to different categories
-color
-shape
numerical data
QAUNTATITIVE: relating to different numbers
discrete- 1,2,3
continuous- 1-3
Steps for planning/conducting a study
- understanding the nature of the problem
- deciding what to measure and how
- collecting data
- summarizing data
- analyzing data
- interpreting results
Confounding Variable
A variable the may be the cause of differences in the response variable because of its relationship to the population/sample
Selection Bias
when the conductor of the experiment chooses the subjects
wording bias
cherry picking your words
nonresponse bias
out of a randomly selected group people choose to answer
response bias
when a subject lies or doesn’t know the answer
measurement bias
multiple different people sampling, and using different methods or materials