Study Design

Question 1

experiment

Answer 1

Involve manipulating a treatment that each participant receives
-Treatments are randomly assigned
-We can measure participants response to the treatment
-Treatment is explonatory variable

Question 2

Observational studies

Answer 2

Studies that do not involve manipulating the explanatory variables for participants
-Simply observing

Question 3

Why are experiments good

Answer 3

-good experiments with random assignments can establish a cause and effect relationship
-We need to control everything that can conga the response except for the treatment

Question 4

observational

Answer 4

limited to talking about associations
cannot make casual connections

Question 5

Random sample

Answer 5

-Reduce chances of a bias sample
-Best way to get a representative sample
-Allows us to generalize from our sample to the pop

Question 6

Census

Answer 6

difficult, time consuming, and expensive

Question 7

Bias samples

Answer 7

-Bias samples are not representatives
-Voluntary response sample
-Convenience sample ( chosen in non radon way)

Question 8

Sampling bias

Answer 8

Bas sampling methods
under coverage: certain groups aren’t represented
sampling frame: missing some of the population

Question 9

Non response bias

Answer 9

Some people cant be surveyed or chose not to participate

Question 10

Response bias

Answer 10

-question wording
-we don’t always get accurate info
-People lying

Question 11

retrospective study

Answer 11

look at historical data or past records

Question 12

prospective study

Answer 12

pick our sample and collect data as things happen

Question 13

Experimental units

Answer 13

-The observations ( cases) within our experiment
-subject/participant

Question 14

intended vs actual population

Answer 14

Non-random sample may not represent our intended population so we may need to rethink our population

Question 15

Parts of an experiment

Answer 15

Experimental units (cases) ( factors)
treatments (given to EU)