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21 Cards in this Set

  • Front
  • Back

Descriptive Statistic

Collection, organization, summarization andpresentation of data. This can be done numerically or graphically


Inferential Statistic

Generalizing from samples to populations: reachconclusions about a set of data based on a subset


Experiment

Process produces single outcome. Result cannot be predicted with certainty

Experiment Design

Plan to perform an experiment in which variableof interest is defined. 1 or more factors are manipulated to see the impact onthe variable of interest


Close-end

list of defined choices

Demographic

relating to respondent's characteristics



Open-end

Freedom to respond

Bias

Effect alters statistical result bysystematically distorting it; different from a random error


Internal Validity

data collected in such a way to eliminate theeffects of variables within the experimental environment not of interest to theresearcher


External Validity

results can be generalized beyond the testenvironment -> the outcomes can be replicated when the experiment isrepeated.


Convenience Sampling

techniques that selects the items from the pplt based on accessibility and ease of selection


Simple Random Sampling

method of selecting from a pop that everypossible sample of a specified size has an equal chance of being selected


Stratified Random Sampling


dividing pops to strata, each pop item belongsto only one stratum


Systematic Random Sampling


involves selecting every kth term in the pop after arandomly selected point between 1 and k


Cluster Sampling

pop divided into groups or clusters intended tobe mini population. Simple random sample of m cluster is selected.


Quantitative/Qualitative


Numerical/Categorical


Time-series

consecutive data values observed at successivepoints in time


Cross-sectional

a set of data values observed at a fixed point

Nominal Data

Categorical Codes, ID, Name

Ordinal Data

Rankings, Ordered Categories

Ratio/Interval Data

measurements, can be measured on different scale