year 2 science data

Question 1

qualitative data

Answer 1

categorical or ordinal scale

descriptive

Question 2

quantitave data

Answer 2

interval or ratio scale

numerical

Question 3

ordinal data

Answer 3

recognised ordering between data items
no meaningful arithmetic on the values
eg ECTS grades

Question 4

categorical data

Answer 4

each data item is drawn from a fixed number or category
names of categories may occur in any sequence & are not orderable
eg nationalities

Question 5

interval scale

Answer 5

data where we are interested in relative rather than absolute values
numerical values are meaningful
eg temp scale
sub/addmeaningful
avg/multiplication not

Question 6

ratio data

Answer 6

numerical scale in which there is a notion of absolute value
eg age
sub/average/addition/multiplication meaningful

Question 7

continuous data

Answer 7

take any value or any value within a range

eg response time

Question 8

discrete data

Answer 8

can take only particular values & there are clear boundaries between those values

Question 9

normal distribution

Answer 9

• the mean is the centre around which the data clusters

- the standard deviation is a measure of the spread of the curve

Question 10

STATISTICS

Answer 10

central tendency 
- typical common
- mean, median, mode
dispersion
- how spread out data is
- range, variance, SD, etc

Question 11

mean

Answer 11

appropriate for interval and ratio scales

Question 12

median

Answer 12

appropriate for qualitative ordinal data & quantitive interval and ratio data

Question 13

mode

Answer 13

good for ordinal or categorical data

not for others as its uncommon for same data to reoccur