comparing para and non para

Question 1

calculating p can be effected by

Answer 1

Sample size so increasing will decrease likleyhood of type 2 wich is accepting null when its faulse

Question 2

which is more powerful parametric or non-parametric

Answer 2

parametric

Question 3

why is parametric more used

Answer 3

its more powerful
it also refers to higher chance of being non sig ( which is why considered normal) - only less 5 percent reject null

Question 4

+one sample- sample to known population

Answer 4

para- one sample t- test
non-para- one sample wilcox test

Question 5

+dependent sample- same group two sample (within subject)

Answer 5

para- paired t-test
non-para-Wilcon rank test.

Question 6

+independent test-two different group subject (between subject)

Answer 6

para-inspired t-test
non-para- Whitney u test

Question 7

+2 dependent test- (within)

Answer 7

para- repeated anova
non para=friedman test

Question 8

2 independent test( between)

Answer 8

para-one way anova
non para-kurkstal wallis

Question 9

correlation between 2 var

Answer 9

para pearsons correlation
non-para- spearman correlation

Question 10

parametric use-

Answer 10

mean/SD
assumption about pop

Question 11

non parametric use

Answer 11

Median
no assumptions about pop

Question 12

WHATS INTERQUARTILE range

Answer 12

find medium
between middle lower.
and middle higher