Practical 1 Flashcards

1
Q

Describe different types of data

A

Categorical - can be ordinal or nominal

Numerical - can be continuous or discrete

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2
Q

What is interval data?

A

Interval data refers to categorical data that can be ordered.
However as there are equal or > 5 points we can assume equidistance between these points hence this data is actually often used in numerical terms.

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3
Q

How are categorical and numerical descriptive statistics summarised

A

Numerical - histogram

Categorical - bar chart or pie chart (ordinal categorical data may be summarised on a histogram)

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4
Q

What is variance and define the equation for SD

A

Variance - distance from the mean
SD = Sum of (distance from the mean)2 / N - 1
Use N - 1 as an unbiased estimate of population variance

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5
Q

How are categorical data / numerical data reported in text

A

Categorical data N (frequency) and %. If skewed data may use min-max rather than %

Numerical - normally distributed mean (SD). Skewed - Median (IQR).

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6
Q

What is a variable?

A

A characteristic that varies

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7
Q

Why/When are statistics used?

A

Statistics are used to characteristic of interest in a sample of population

We infer the findings from the sample to the population (if the sample is representative)

Statistics are used as we can’t study the whole population - we sample - we can’t just count from the whole population - we use probability theory

We use statistics to understand why things vary?

The goal is to understand why things are not the same for everyone

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8
Q

When is ordinal data considered numerical - interval?

A

Ordinal data can be considered interval when at least 5 categories

4 or fewer ordinal data - categorical

Ordinal data is always skewed

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9
Q

How do discrete and continuous data vary?

A

Discrete data - can only have preset values, typically counts
Difficult - shoe size is discrete - even though decimal points there are distinct set of values

Continuous data can tae any value on a scale - typically measurements

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