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.
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.
What are some distinct advantages of a qualitative data gathering strategy, such as participant observation, over more quantitative approaches
Organizing the data into a frequency distribution can make patterns within the data more evident.
Organizing the data into a frequency distribution may make patterns within the data more evident.
Quantilative is where quantitative and qualitative data start to blur. You can ask a question in a quantitative fashion (survey question) but if you have a small sample size, then you need to interpret the data qualitatively (e.g., few, some, most) as opposed to quantitatively (e.g., 10%). it can go the other way as well. If you have a qualitative exercise (e.g., highlighter exercise) that you deploy to a large sample size, you can interpret that data quantitatively (e.g., % who selected a certain area of the image).
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.
There are several different types of data. Some include qualitative and quantitative. Qualitative is data that is not numeric and quantitative data is numerical.
Certainly, if some of the data is negative
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.
You can determine the median test by arranging the data set in some order, ascending or descending, and picking out the middle data item.
What are some distinct advantages of a qualitative data gathering strategy, such as participant observation, over more quantitative approaches
Qualitative properties are properties that are observed and can generally not be measured with a numerical result. They are contrasted to quantitative properties which have numerical characteristics.
the mode of a data set is the number that appears the most in the data. some data sets have no mode.
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.
Perhaps I have some difficulty understanding your question. The mean, median and mode are measures of the center of data or measures of centrality.
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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.