Answer:
P( red | large shirt ) ≠ P( large shirt)
P( Blue | large shirt ) = P( blue shirt)
P( shirt is medium and blue ) ≠ P( medium shirt)
P( large shirt | red shirt ) ≠ P( red shirt)
Explanation:
P( red | large shirt ) = 42/77 = 0.5454 : P( large shirt)= 77/165 = 0.467
P( red | large shirt ) ≠ P( large shirt)
P( Blue | large shirt ) = 35/77 = 0.4545 : P( blue shirt)= 75/165 = 0.4545
P( Blue | large shirt ) = P( blue shirt)
P( Shirt is medium and blue ) = 40/77 = 0.2424 : P( medium shirt)= 88/165 = 0.5333
P( shirt is medium and blue ) ≠ P( medium shirt)
P( large shirt | red shirt) = 42/90 = 0.4667 : P( red shirt)= 90/165 = 0.5454
P( large shirt | red shirt ) ≠ P( red shirt)
Longitudinal design is defined as a special kind of systematic observation, implemented by correlational researchers, which involves the tasks of obtaining measures of variables of interest in multiple waves over time.
<u>Explanation:
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Longitudinal design is one of the known systematic observation pattern followed by the correlational researchers in which a subject of experiment is observed for a significantly long span.
The three types of longitudinal design are: panel study, cohort study and retrospective study. The complete design involves the multiple set of observations over a variable or subject. Longitudinal design is often used in clinical psychology to study rapid fluctuations in the behaviour.