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Statistical Significance and Sampling Techniques: A Comprehensive Overview, Quizzes of Statistics

Definitions and explanations of key statistical concepts, including statistical significance, cluster random sampling, stratified random sampling, multifactor design, matched pairs design, and prospective research. It also highlights the importance of multiple studies in building a strong case over time.

Typology: Quizzes

2012/2013

Uploaded on 02/18/2013

dashonna
dashonna 🇺🇸

23 documents

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TERM 1
statistical significance
DEFINITION 1
Statistical significance is a statistical assessment of whether
observations reflect a pattern rather than just chance. How
rare is the event?How likely is an event to have occurred at
random?...VS...How likely is an event to have occurred not at
random?
TERM 2
cluster random sampling
DEFINITION 2
-break population into "clusters"-randomly select clusters to
survey- survey selected clusters- good alternative when you
cant get a simple random sample- downside need large
sample to get some margin of error
TERM 3
stratified random sampling
DEFINITION 3
- divide population into groups (strata)- get simple random
sample from each strata- survey chosen inidividuals
TERM 4
multifactor design
DEFINITION 4
factors = explanatory variables- divide up the subjects so
there are subjects getting all possible combinations of the
factors
TERM 5
matched pairs design
DEFINITION 5
- each treatment is given to each subject
pf2

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TERM 1

statistical significance

DEFINITION 1 Statistical significance is a statistical assessment of whether observations reflect a pattern rather than just chance. How rare is the event?How likely is an event to have occurred at random?...VS...How likely is an event to have occurred not at random? TERM 2

cluster random sampling

DEFINITION 2 -break population into "clusters"-randomly select clusters to survey- survey selected clusters- good alternative when you cant get a simple random sample- downside need large sample to get some margin of error TERM 3

stratified random sampling

DEFINITION 3

  • divide population into groups (strata)- get simple random sample from each strata- survey chosen inidividuals TERM 4

multifactor design

DEFINITION 4 factors = explanatory variables- divide up the subjects so there are subjects getting all possible combinations of the factors TERM 5

matched pairs design

DEFINITION 5

  • each treatment is given to each subject

TERM 6

prospective

DEFINITION 6 Prospective literally means "looking forward". It can also refer to an event that is likely or expected to happen in the future. TERM 7

DEFINITION 7 multiple studies build a strong case over time