Qualitative data is data that can only be written in words rather than numbers, an example being people's favourite colour. Qualitative data can be grouped just like numerical data.

Quantitative data is data that can be written as a number, such as the height of students. Quantitative data is dealt with depending on if it is discrete or continuous.

Discrete data is numerical data that can only take specific values. An example of this would be the number of people in a class, since counting people can only give integers. Discrete data is presented on a frequency table where the frequency of each value for a given data set is counted.

Continuous data is numerical data that can take any value within a given range. An example of this would be height, as it can take any numerical value within a realistic range. Continuous data is presented in a frequency table by grouping it, since there are infinitely many possibilities of the values of it, due to the fact that it can take any value.

When data is first collected, it is basically a list of values and thus it is ungrouped. Grouped data is when this data is bundled together into categories.

How many devices people own is given by the number of them they own. Thus, this data will be recorded as a number rather than in words and therefore it is not qualitative data.

Numbers represent quantity rather than quality.

The data being collected is number of hours spent in the shopping mall, so it is represented by a number and therefore it is quantitative data.

quantitative

Time can take any value and there are infinitely many possibilities for the value it takes, therefore time is continuous data.

It can take infinite many values.

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Discrete data is numerical data that can only take specific values.

numerical data with specific values