Year 1 Statistics Flashcards

1
Q

Census

A

Gathering the required information from everyone within the population

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2
Q

Simple random sampling

A

Takes a random selection from the population to use as a sample

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3
Q

Stratified sampling

A

Proportionally represents each sub group in a population. Each sub group is randomly sampled

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4
Q

Quota sampling

A

Non randomly people are selected from a quota of sub groups they are not necessarily proportionally represented

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5
Q

Systematic sampling

A

A population is ordered and every nth item is put in the sample

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6
Q

Opportunity (convenience) sampling

A

Using samples that are easily accessible

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7
Q

Cluster sampling

A

Population is divided into sub groups and samples only come from a few of those sub groups

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8
Q

Self selected sampling

A

Individuals have chosen to be in the sample

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9
Q

Variables

A

Properties being measured

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10
Q

Frequency

A

Number of occurrences of a particular result

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11
Q

Categorical data

A

Each item has a category rather than a numerical significance (qualitative)

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12
Q

Discrete numerical data

A

Not always an integer but either on number or another

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13
Q

Ranked data

A

The data is positioned within a group of

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14
Q

Continuous numerical data

A

Variables could take any value

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15
Q

Quantitative data

A

Numerical data

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16
Q

Qualitative data

A

Wordy data calculations can not be used

17
Q

Measures of central tendency

A

Mean
Median
Mode
Midrange

18
Q

Measures of spread

A

Range
Maximum and minimum values
Quartiles
Deviation and variance

19
Q

Sxx

A

Sum of the squared deviation
Sigma (x-mean)^2

20
Q

s^2

A

Variance
Sxx / (n-1)

21
Q

s

A

Standard deviation
Square root (Sxx / (n-1))

22
Q

Ways to calculate outliers

A

Anything 1.5 times larger than interquartile range above/below the upper/lower quartile
Anything more than 2 standard deviations from the mean

23
Q

Univariate data

A

One variable

24
Q

Bivariate data

A

Two variables

25
Q

Multivariate data

A

Many variables

26
Q

Correlation coefficients

A

Between -1 and 1 where -1 is a perfect negative correlation and 1 is a perfect positive correlation

27
Q

Trial

A

An experiment with only two possible outcomes/events

28
Q

X~B(n,p)
P(X=r)

A

nCr p^r(1-p)^(n-r)

29
Q

When to use the binomial distribution model

A

There are n independent trials
Two possible outcomes with fixed probabilities

30
Q

Find the expectation of a binomial distribution

A

E(x) = np

31
Q

Binomial hypothesis testing

A

P-value > significance level
Do not reject H0
P-value < significance level
Reject H0