statistical analysis and quantitative data intro

Question 1

mean

Answer 1

average
add all up and divide by how many there are

Question 2

median

Answer 2

middle value
list numbers from smallest to largest

Question 3

mode

Answer 3

value that occurs most often

Question 4

why is quantitative data used?

Answer 4

• can act as anchor for discussions
• asses performance
• all orgs are rational, demand quantitification

Question 5

statistics

definition

Answer 5

how you quantify data

Question 6

inferential statistics

definition

Answer 6

form conclusions beyond data in order to generalise to the population

Question 7

descriptive statistics

definition

Answer 7

describe, summarise and present data
used in media and policy convos

Question 8

variable

definition

Answer 8

concept of interest, can ber varied quantified and measured

Question 9

continuous measurement

definition

Answer 9

any value

Question 10

discrete measurement

definition

Answer 10

only certain values (often whole numbers)

Question 11

dichotomous (binary)

definition

Answer 11

only two possible values
e.g yes/no

Question 12

nominal

Answer 12

named categories
e.g colours, nationality

Question 13

ordinal

definition

Answer 13

ordered/ranked categories

Question 14

interval

definition

Answer 14

numerical, intervals between numbers are equal
e.g IQ, temp in degrees

Question 15

ratio

definition

Answer 15

numerical, equal intervals and have absolute zero
e.g weight, salary