Stats Flashcards
Sub-collection of members selected from a population
Sample
Influenced by another factor, it’s the one you’re measuring
Dependent variable
Influences the dependent factor and is controlled by the researcher
Independent variable
Mathematical description of a population characterisitic
Parameter
Mathematical description of a sample characteristic
Statistic
Used to summarize and describe the characteristics of data numerically and graphically
Descriptive statistics
Make conclusions about populations
Inferential statistics
Consists of names or labels
Categorical data
Consists of numbers representing counts or measurements
Quantitative data
Finite number or countable
Discrete
Infinitely many possible values
Continuous
Names, labels, or categories only and the data cannot be arranged
Nominal level measurment
Arranged in some order but differences can’t be determined or are meaningless
Ordinal level measurement
Ordinal level with the additional property that there is a difference between two values however there is NO natural zero
Interval level measurement
Interval level with a natural zero starting point. The differences of the values are meaningful
Ratio level measurement
Categories onlly
Categories w/ order
Differences but no natural start
Differences and a natural start
Nominal
Ordinal
Interval
Ratios
Apply some treatment and then observe its effects on the subjects
Experimental study
Observing and measuring specific characteristics w/o attempting to modify the subjects
Observational study
N subjects are selected in a way that every possible sample size N has the same chance of being chosen
Simple random sample
Select some starting point and then select every kth element
Systematic sampling
Subdivide the population into subgroups that share characteristics and then draw a sample from each
Stratified sampling
Divide the population into section and randomly select some of those clusters and chose ALL members from those clusters
Cluster Sampling
Collect data by using some combination of the basic sampling methods, pollsters select sample in different stages
Multistage sampling