A-level Maths Statistics Definitions

studied byStudied by 3 people
0.0(0)
Get a hint
Hint

Population

1 / 34

flashcard set

Earn XP

Description and Tags

Definitions fro sampling

35 Terms

1

Population

A whole set of items that are of interest

New cards
2

Census

Observes or measures every member of a population

New cards
3

Sample

A selection of observations taken from a subset

New cards
4

Advantage of a census

Should give a completely accurate results

New cards
5

3 disadvantages of a census

  • Time consuming

  • Cannot be used when the testing process destroys the item

  • Hard to process a large quantity of data

New cards
6

3 advantages of a sample

  • Less time consuming and expensive than a census

  • Fewer people have to respond

  • Less data to process than in a census

New cards
7

2 disadvantages of a sample

Data may not be accurate enough, Sample may not be large enough to give information about small sub-groups of the population

New cards
8

Sample units

Individual units of a population

New cards
9

Samping frame

A list of sample units

New cards
10

A simple random sample if size n

One where ever sample of size n has an equal chance of being selected

New cards
11

In stratified sampling

Population is divided into mutually exclusive strata and a random sample is taken from each

New cards
12

In systematic sampling

Required elements are chosen at regular intervals form an ordered list

New cards
13

3 advantages of simple random sampling

Free of bias, Easy and cheap to implement for small populations and samples, Each sampling unit has known and equal chance of selection

New cards
14

2 disadvantages of simple random sampling

Not suitable when the population size or the sample size is large, A sampling frame is needed

New cards
15

2 advantages of systematic sampling

Simple and quick to use, Suitable for large samples and large populations

New cards
16

2 disadvantages of systematic sampling

A sampling frame is needed, It can introduce bias if the sampling frame is not random

New cards
17

2 advantages of stratified sampling

Sample accurately reflects the population, Guarantees proportional representation of groups within a population

New cards
18

2 disadvantages of stratified sampling

Population must be clearly classified into district data, Selection within each stratum suffers from the same disadvantages as a simple random sampling

New cards
19

An example of a simple random sampling is

A jury

New cards
20

An example of a systematic sampling is

Every house number ending in 1

New cards
21

An example of stratified sampling is

Bhasvic asking 50 first years and 40 second years. (Bhasvic has 1500 first years and 1200 second years)

New cards
22

In quota sampling

An interviewer selects a sample that reflects the characteristics of the population

New cards
23

Opportunity sampling

Taking the sample from people who are available at the time the study is carried out and who fit the criteria you are looking for

New cards
24

4 advantages of quota sampling

Allows a small sample to still be representative of the the population, No sampling frame required, Quick, Allows for easy comparison between different groups within a population

New cards
25

4 disadvantages of quota sampling

Non-random sampling can introduce bias, Population must be divided into groups, Increasing scope of study increases number of groups, Non-responses are not recorded as such

New cards
26

2 advantages of oppurtunity sampling

Easy to carry out, Inexpensive

New cards
27

2 Disadvantages of oppurtunity sampling are

Unlikely to provide a representative sample, Highly dependent on individual researcher

New cards
28

An example of quota sampling is

For maths

New cards
29

An example of oppurtunity samping

Asking women aged between 19 and 25 outside Brighton train station between 10am and 11am

New cards
30

Quantatitve variables

Variables with numerical observations

New cards
31

Quantative data

Data with numerical observations

New cards
32

Qualatitive variables

Variables with non-numerical observations

New cards
33

Qualatitive data

Data with non-numerical observations

New cards
34

Continuous variable

Can take any value in a given range

New cards
35

Discrete variable

Can take only specific values in a given range

New cards

Explore top notes

note Note
studied byStudied by 5 people
... ago
5.0(1)
note Note
studied byStudied by 13 people
... ago
5.0(1)
note Note
studied byStudied by 1 person
... ago
5.0(1)
note Note
studied byStudied by 16 people
... ago
5.0(1)
note Note
studied byStudied by 12 people
... ago
5.0(1)
note Note
studied byStudied by 16 people
... ago
5.0(1)
note Note
studied byStudied by 18 people
... ago
5.0(1)
note Note
studied byStudied by 245 people
... ago
5.0(2)

Explore top flashcards

flashcards Flashcard (86)
studied byStudied by 20 people
... ago
5.0(1)
flashcards Flashcard (102)
studied byStudied by 15 people
... ago
5.0(1)
flashcards Flashcard (59)
studied byStudied by 28 people
... ago
5.0(4)
flashcards Flashcard (53)
studied byStudied by 4 people
... ago
5.0(1)
flashcards Flashcard (49)
studied byStudied by 1 person
... ago
5.0(1)
flashcards Flashcard (179)
studied byStudied by 32 people
... ago
5.0(1)
flashcards Flashcard (82)
studied byStudied by 4 people
... ago
5.0(1)
flashcards Flashcard (41)
studied byStudied by 11 people
... ago
5.0(1)
robot