S1 Flashcards

1
Q

What are discrete variables and give an example?

A
All the possible values can be listed
Examples:
1) Shoe Sizes
2) Number of goals a football team scores
3) Number On dice
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2
Q

What are continuous variables and give an example?

A
You cannot list all possible values.
Examples:
1) Distance
2) Mass
3) Temperature
4) Speed
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3
Q

What is simple random sampling?

A

Every possible sample of a given size is equally likely to be selected

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4
Q

What is stratified sampling?

A

Ensure that all stras are samples. The numbers sampled in the various strata are proportional to the size of their populations

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5
Q

What is cluster sampling?

A

Sub groups of the population which are called clusters. Each cluster should be reasonably representative of the entire population.

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6
Q

What is systematic sampling?

A

If you were surveying telephone subscribers, you might select a number at random, say 66 and then sample the 66th name on every page.

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7
Q

What is Quota sampling?

A

Has to ask a certain amount of people who fit a certain criteria, for example 50 women and 50 men. The choice of who is sampled is then left up to the interviewer.

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8
Q

What is opportunity sampling?

A

Used when circumstances make a sample readily available.

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9
Q

What is a self-selecting sample?

A

A sampling is self-selected when those involved volunteer to take part, or are given the choice to participate or decline.

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10
Q

What are the different types of sampling techniques?

A

1) Simple Random Sampling
2) Stratified Sampling
3) Cluster Sampling
4) Systematic Sampling
5) Quota Sampling
6) Opportunity Sampling
7) Self-Selecting Sample

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11
Q

What is the mode?

A

Most frequent number

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12
Q

What is the median?

A

The middle number

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13
Q

What is the mean?

A

Average number. Add numbers up then divide by how many numbers there are.

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14
Q

What is the range?

A

Largest number - Smallest number

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15
Q

How do you work out the Mean absolute deviation

A

∑(absolute(x-mean) / n

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16
Q

Sxx=

A

∑(x - mean)^2
or
∑( fx^2 - n * (Mean)^2 )

17
Q

Variance =

A

s^2 = Sxx / (n-1)

18
Q

Standard deviation =

A

√ (Sxx / (n-1))

19
Q

How would you find outlier?

A

More then 2 standard deviations from the mean
or
1.5 IQR away from the Median.