Statistics 1: 1 Data Collection Flashcards

1
Q

Population

A

The whole set of items that are of interest

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Census

A

Observes or measures every member of a population

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Sample

A

A selection of observations taken from a subset of the population which is used to find out information about the population as a whole

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Census: Advantages

A
  • Should give a completely accurate result
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Census: Disadvantages

A
  • Time consuming + expensive
  • Cannot be used when the testing process destroys the item
  • Hard to process large quantity of data
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Sample: Advantages

A
  • Less time consuming and expensive than a census
  • Fewer people have to respond
  • Less data to process than in a census
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Sample: Disadvantages

A
  • The data may not be as accurate
  • The sample may not be large enough to give information about small sub-groups of the population
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Sampling units

A

individual units of a population

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Sampling frame

A

When sampling units of a population are individually named/numbered to form a list

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What should a sample be?

A

Representative of the population

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Importance of sampling being random

A

Removes bias

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

3 methods of random sampling

A
  • Simple random sampling
  • Systematic sampling
  • Stratified sampling
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Sample random sample of size n

A

Sample where every sample of size n has an equal chance of being selected

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

2 methods of choosing numbers

A
  • Generating random numbers (using calculator or computer)
  • Lottery sampling
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Lottery sampling

A

The members of the sampling frame could be written on tickets and placed into a ‘hat’

The required number of tickers would then be drawn out

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Systematic sampling

A

The required elements are chosen at regular intervals from an ordered list

e.g. to take a sample of 20 from a population of 100, you take every 5th person

17
Q

Stratified sampling

A

The population is divided into mutually exclusive strata (e.g. males and females) and a random sample is taken from each

  • The proportion of each strata sampled should be the same
18
Q
A