Types of data

Question 1

sampling methods

Answer 1

ensure that info you collect will enable you to answer you research question

Question 2

inference

Answer 2

provides the means to draw conclusions about a group of cases based on a selection from the group

Question 3

quantitative data

Answer 3

involves numerical values made up of discrete or continuous data

Question 4

qualitative

Answer 4

does not include numerical values includes categorical data

Question 5

ordinal data

Answer 5

relationship between the categories (they can be ordered)

Question 6

Lickert scales

Answer 6

ordinal scales representing the degree of agreement with the statement

Question 7

Nominal data

Answer 7

no numerical relationship between categories (only distinguishing factor is the name of the diet)

Question 8

Which two types of data make up quantitative data?

Answer 8

discrete and continuous

Question 9

Which three types of data make up qualitative data?

Answer 9

nominal, ordinal and binary

Question 10

population

Answer 10

all the members of the particular group understudy

Question 11

sample

Answer 11

example of the population

Question 12

inference

Answer 12

take a sample and draw conclusions about the population based upon the results from the sample

Question 13

what must a inference sample be?

Answer 13

large enough to detect any differences that are of interest

representative of the population

Question 14

If the sample is too small?

Answer 14

fail to provide sufficient evidence to answer the research question

Question 15

if the sample is too large?

Answer 15

wasteful of resources and at worst unethical

Question 16

two most common ways of preventing bias?

Answer 16

random sampling

stratified random sampling

Question 17

Random sample

Answer 17

each member of the population has an equally likely, non-zero chance of being included

Question 18

randomised trials

Answer 18

patients are allocated randomly to treatments, eliminate the effects of known and unknown factors

Question 19

stratified sample

Answer 19

categories in the population that must be represented

Question 20

convenience sample

Answer 20

not chosen randomly but is all that is availible

Question 21

how would you display categorical data

Answer 21

bar chart or pie chart

Question 22

how would you display continuous data

Answer 22

histograms, stem and leaf plots and box and whisker plots are useful

Question 23

what is a pie chart good at

Answer 23

representing proportions in each category

Question 24

what is need for a frequency table

Answer 24

summarises the frequency distributions function

Question 25

what is a histogram used for?

Answer 25

summarises continuous, grouped data

Question 26

relative frequency

Answer 26

the ratio of the frequency in that class to the total frequency

Question 27

advantage of a stem and leaf diagram over a histogram

Answer 27

easier to construct | the individual values of the data are shown

Question 28

box and whisker plots

Answer 28

show info based on the variability of the data, expressed through quartiles