Week 8 Flashcards

Concepts of statistics

1
Q

Define statistics

A

a science that studies the collection, analysis, interpretation, presentation and organisation of data

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2
Q

The population is

A

the total set of observations of a group we study (N)

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3
Q

A sample is

A

a set of observations taken from the total population (n)

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4
Q

Variables are

A

things we measure, control or manipulate

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5
Q

Measures of central tendency (location)

A

mean, mode and median

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6
Q

Measure of spread (dispersion)

A

Range, quartiles, variance and standard deviation

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7
Q

Is the variance an unbiased estimator of the population?

A

No, the sample range tends to underestimate the population range

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8
Q

Standard deviation is

A

the square root of the population variance

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9
Q

Define probability density function

A

a function that describes the relative likelihood for a random variable to taken on a given value

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10
Q

TRUE OR FALSE

  1. The PDF is non-positive everywhere?
  2. The integral over the entire space is equal to 0?
A
  1. False, it is non-negative everywhere

2. False, it is equal to 1

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11
Q

What is a uniform distribution?

A

A family of symmetric probability distributions. Can be continuous or discrete data

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12
Q

Which 2 parameters are normal distribution defined by?

A

Location (mean) and scale (variance)

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13
Q

What are the parameters of a standard normal distribution?

A
Mean = 0 
Variance = 1
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14
Q

Define accuracy, precision and bias

A

Acc - how close measurements are to the true value trying to be measured.
Prec - how repeatable the measurement is within itself
Bias - a systematic lack of accuracy in which all data deviates from true value in same direction

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15
Q

What is the purpose of a statistical test?

A

To evaluate the relationship between variables

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16
Q

What does a statistical test give us?

A

a significance level (p-value) that tells us the probability of error in rejecting the null hypothesis

17
Q

Define statistical significance

A

probability that observed relationship or difference in a sample occurred by pure chance

18
Q

What does the p-value represent?

A

the probability of error that is involved in rejecting the null hypothesis based on our observed data

19
Q

Parametric vs non-parametric

A

Parametric tests make assumptions about the distribution of data i.e. normally distributed.
Non-parametric tests do not

20
Q

Paired vs non-paired

A

Paired tests have data that has been observed from a particular individual at different time points. Non-paired data is observed from different individuals.

21
Q

One-tailed vs two-tailed

A

One-tailed only want to know about a single direction of outcome in the data where two-tailed looks at all possible outcomes