All Definitions (Dating Handling and Analysis) Flashcards

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1
Q

Bar charts

A

A graphical representation of categorical data with numerical values.

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2
Q

Coding

A

A type of analysis wherein huge texts are simplified to certain key words that are aligned with certain themes.

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3
Q

Correlation

A

The extent to which two variables are associated.

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4
Q

Correlation coefficient

A

A value between -1 and 1 that indicates the relationship (correlation) between two data sets.

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5
Q

Interval

A

A level of measurement that refers to variables that exist on scale with fixed, standardised intervals.

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6
Q

Mean

A

A measure of the average of a data set that is calculated by adding all values together and dividing by the number of values. This means it takes every single value into account, including outliers.

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7
Q

Median

A

A measure of the average of a data set by determining the middle value in the data set. This means it only takes into account the very middle value, ignoring the value of any others.

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8
Q

Mode

A

A measure of the average of a data set by finding the most common value. This means it only takes into account the number of values, and not the values themselves.

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9
Q

Negative correlation

A

When two sets of variables have a negative relationship I.e. when one increases, the other decreases.

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10
Q

Nominal

A

A level of measurement that refers to variables that can be counted in whole numbers, to indicate frequency.

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11
Q

Normal distribution

A

A symmetric distribution of values around the mean, sometimes called “the bell curve”.

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12
Q

Ordinal

A

A level of measurement that refers to variables that can be placed on a scale of relative importance I.e. in order.

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13
Q

Positive correlation

A

When two sets of variables have a positive relationship I.e. when one increase the other increases.

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14
Q

Primary data

A

Data that has been collected first hand, by yourself.

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15
Q

Qualitative data

A

Non-numerical data, such as text, video, photographs or audio recordings.

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16
Q

Quantitative data

A

Data that is categorised by numerical values. For example, height, weight, time.

17
Q

Range

A

A measure of dispersion that is calculated by subtracting the smallest value from the largest value.

18
Q

Scattergrams

A

A graphical representation of the correlation between two variables.

19
Q

Secondary data

A

Data that has been collected by someone else

20
Q

Skewed distribution

A

An asymmetric distribution of values of around the mean, which can be positively or negatively skewed.

21
Q

Standard deviation

A

A measure of dispersion that represents the average distance of values from the mean. It is calculated by subtracting each value from the mean, squaring that difference and finding them sum of all these squares. Then, dividing by the number of values and finding the square root.

22
Q

Thematic analysis

A

A type of data analysis that aims to identify, repot and analyse recurring concepts.