Midterm I Flashcards
Population
the entire collection of individuals who are of interest and who you want to make conclusions about
Sample
representative sample of individuals from the target population
Parameter
Descriptive measure of a population
Statistic
Descriptive measure of a sample
Explanatory or response variables
Independent variables: Variables that affect other variables but are not affected by other variables
Extraneous variables
Variables that are not of interest. May lead to error
stratified random sampling
the population is divided into strata based on prior information.
Sampling intensity in each strata is proportional to the estimated density of individuals
alberta example
Cluster random sampling
Randomly select a block of people. All people within this block are tested
voluntary response bias
asking for volunteers to participate in a social survey:People who favour something are more likely to volunteer
what measures the centre
mean
what measures the spread
standard deviation
sample size for normal distribution
<30
between a small sample and a large sample, when sampling is taken, which has more variability
smaller sample has more variability
Random Sampling
Observational studies:
Population inferences
Casual Inferences
Prospective vs retrospective
Experimental studies:
Casual Inferences
Population Inferences