Statistics Flashcards

1
Q

What is a census?

A

Measures every member of a population

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2
Q

What is a sample?

A

Observations taken from a subset of a population to get information about the whole.

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3
Q

Advantages of census

A

Completely accurate

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4
Q

Disadvantages of census

A

Time and money consuming, impossible if process involves destroying the subject, hard to process loads of data

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5
Q

Advantages sample

A

Less data, less time and money consuming, less subjects needed.

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6
Q

Disadvantages sample

A

May not be accurate, not large enough

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7
Q

Simple random sampling

A

Assign number to each unit then randomly pick

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8
Q

Systematic sampling

A

Chosen at regular intervals through a list with the position of where you start random

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9
Q

Stratified sampling

A

Proportionally picked from each group

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10
Q

Advantages of simple random sampling

A

No bias, easy/cheap

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11
Q

Disadvantages of random sampling

A

Not suitable for large groups, sampling frame required

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12
Q

Systematic sampling advantages

A

Simple, quick, good for large groups

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13
Q

Systematic sampling disadvantages

A

Sampling frame needed, can introduce bias if frame is not random

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14
Q

Stratified sampling advantages

A

Accurately represents population structure, guarantees that proportional representation

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15
Q

Stratified sampling disadvantages

A

Must be pre-classified into strata, selection has same issues as simple random sampling.

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16
Q

Quota sampling

A

Sampler selects which group the person is put in and ignores when quota is full

17
Q

Opportunity sampling

A

Take a sample if the unit suits criteria and is available

18
Q

Quota sampling advantages

A

Small sample still representative, no frame

19
Q

Quota sampling disadvantages

A

Can be biased, division into groups may be inaccurate and costly

20
Q

Opportunity sample advantages

A

Easy, cheap

21
Q

Opportunity sampling disadvantages

A

Dependent on sampler and unlikely to give representative sample

22
Q

Measure of location

A

Value that describes a position in a data set

23
Q

Measure of central tendency

A

Single value describing the centre of the data (mean, median, mode)

24
Q

When working out lower and upper quartiles how do you round?

A

UP

25
Q

Histograms

A

Frequency density = frequency/class width

26
Q

Bivariate data

A

Pairs of values for two variables (one independent and one dependent variable)

27
Q

What is the least squares regression line?

A

Line of best fit

28
Q

Discrete uniform distribution

A

The probability of each outcome is the same (e.g. a fair die)

29
Q

Conditions for binomial distribution

A

Fixed number of trials, two possible outcomes, fixed probability, independent

30
Q

How to measure outliers?

A

1.5 x IQR below/above LQ/UQ

31
Q

How to check whether two events are independent?

A

P(A and B) = P(A) × P(B) if independent

32
Q
A