Statistics

Question 1

Descriptive statistics

Answer 1

Large amounts of data summarised and presented to the public in a way that they can understand

Question 2

Inferential statistics

Answer 2

Asking a small number and then predicting an outcome based on those responses

Question 3

Types of data

Answer 3

Categorical (cannot be answered with numbers)

Numerical

Question 4

Types of categorical data

Answer 4

Ordinal (can be ordered eg grades)

Nominal (cannot be ordered eg eye colour)

Question 5

Types of numerical data

Answer 5

Continuous (may be any one of an infinite amount of numbers eg height)

Discrete (can only be chosen from a certain set of values eg shoe size)

Question 6

What is primary data

Answer 6

Collected by the person that will use it

Question 7

What is secondary data

Answer 7

Not collected by the person who is going to use it eg via newspaper, books, internet

Question 8

Population

Answer 8

Entire group being studied

Question 9

Sample

Answer 9

A group that is selected from the population in order to gather information

Question 10

Census

Answer 10

Survey of the whole population

Question 11

Unit

Answer 11

Individual member of the population

Question 12

Bias

Answer 12

Something that might distort data so there will not be a correct representation of the sample

Question 13

Outlier

Answer 13

An individual that falls outside of the overall pattern

Question 14

Sampling methods

Answer 14

Simple random sampling
Stratified random sampling
Cluster sampling
Quota sampling

Question 15

Simple random sampling

Answer 15

Sample size is selected from a population and everyone in the population has an equal chance of being picked

Question 16

Stratified random sampling

Answer 16

First popukation is divided into subgroup (age, gender, socio-economic status etc)
Then samples are drawn from each subgroup

Question 17

Cluster sampling

Answer 17

Population divided into clusters

Some clusters are randomly chosen

Question 18

Quota sampling

Answer 18

Non probability technique

Sample has the same proportion of individuals in population eg ratio of girls in population to girls in sample

Question 19

Data handling cycle

Answer 19

Pose a question
Collect data
Present and analyse data
Interpret results

Question 20

Types of Survey

Answer 20

Face to face
Telephone
Postal questionnaire
Online questionnaire
Observation

Question 21

Ways to graph data

Answer 21

Scatter plot
Pie chart
Frequency table
Bar chart
Line of best fit
Line plot
Histograms
Stem and leaf

Question 22

Types of data distribution

Answer 22

Symmetric
Negatively skewed/skewed left (positive slope)
Positively skewed/ skewed right (negative slope)

Question 23

What is a response variable

What axis

Answer 23

Any factor that can influence

Y

Question 24

What is explanatory variable

What axis

Answer 24

Question that we ask in our study

X

Question 25

Types of correlation on scatter graphs

Answer 25

Perfect positive correlation (strong)
High positive correlation 
Low positive correlation (weak)
No correlation 
Low negative correlation(weak)
High negative correlation 
Perfect negative correlation (strong)