There are several different types of data. Some include qualitative and quantitative. Qualitative is data that is not numeric and quantitative data is numerical.
To report what color something is would be qualitative data not quantitative. Quantitative data, by definition, is a measurement of some quantity, and therefore it requires a number of some kind. Light intensity can be measured with a photometer, which would be quantitative data. Color isn't.
Quantitative data is data that measures quantity, as opposed to qualitative data which describes quality. Some examples of quantitative data pertaining to weather would be: measurements of precipitation, records of number of days per month without precipitation, percentage of the chance of precipitation, records of daily high temperatures.
What are some distinct advantages of a qualitative data gathering strategy, such as participant observation, over more quantitative approaches
A qualitative datum is one that is expressed as some quality/property of a particular entity, rather than a numerical value. Conversely, a quantitative datum is one that is expressed as a quantity (or number), as opposed to a quality of a particular entity. Hence, qualitative and quantitative data are essentially opposite data types.
In statistics numerical data is quantitative rather than qualitative.
Some people are able to laugh at themselves, is graphically correct.
Pivot Tables, Filters, Dashboards and Data Tables are some of the ways you can do it.
It is numerical information about some characteristic. By contrast, qualitative data might be something like the colour of your eyes, or the name of your maths teacher.
No, they must have a median. However, if the data set is of even order, the median may not belong to the data set. For example, the median of 1,2,3,10 is halfway between 2 and 3 or 2.5 which is not a data point.
Quantitative has a discrete value associated with it. Qualitative is relative and based on observation. For example, in the phrase "5 apples, 10 pears," 5 and 10 are quantitative pieces of data, and apples and pears are qualitative data. While the number of something is a measurable in units, the "appleness" of something is not measurable. Something either is or is not an apple, and this is based on the comparing to other apples we may have seen in the past. Some things that are qualitative: Length Temperature Time Number Some things that are qualitative: Smell Type Shape (although number of corners, interior angles, etc are quantitative) Color (however, light frequency is quantitative) In general, anything that is answered by "yes or no" or is a category is qualitative, while everything with a number is quantitative.