stats

Question 1

what is nominal data (2)

Answer 1

-data is in categories
-it is discrete- 1 item only appears in 1 category

eg. number of boys who did and did not conform in line test

Question 2

what is ordinal data (2)

Answer 2

-ordered and does not have equal intervals between each unit
-lacks precision as subjective

eg. a rating on a scale of 1-10, IQ test etc.

Question 3

what is interval data (2)

Answer 3

-based on numerical scales
-includes units of equal precisely defined size

eg. science measures like time, heart rate

Question 4

what measure of central tendency does nominal data use

Answer 4

mode

Question 5

what measure of central tendency and dispersion does ordinal data use

Answer 5

central tendency=median
dispersion= range

Question 6

what measure of central tendency and dispersion does interval data use

Answer 6

central tendency= mean
dispersion= standard deviation

Question 7

what test of difference is used for unrelated design nominal data

Answer 7

chi-squared

Question 8

what test of difference is used for unrelated design ordinal data

Answer 8

mann whitney

Question 9

what test of difference is used for unrelated design interval data

Answer 9

unrelated t-test

Question 10

what test of difference is used for related design nominal data

Answer 10

sign test

Question 11

what test of difference is used for related design ordinal data

Answer 11

wilcoxon

Question 12

what test of difference is used for related design interval data

Answer 12

related t-test

Question 13

what test of association/correlation is used for nominal data

Answer 13

chi squared (association)

Question 14

what test of association/correlation is used for ordinal data

Answer 14

spearman’s rho

Question 15

what test of association/correlation is used for interval data + give equation

Answer 15

pearson’s r
df=n-2

Question 16

example of not significant results

Question 16

example of significant results

Question 17

what is type I error

Answer 17

rejected null hypothesis, accept alternative hypothesis when it shouldve been the other way around (null hypothesis is actually true)
-more likely if significance level is too lenient e.g more likely at 10%

Question 18

what is type II erro

Answer 18

accept null hypothesis, rejective alternative hypothesis when it shouldve been the other way around (alternative hypothesis is actually true)
-more likely if significance level is too stringent e.g more likely at 1%