The median shows where the 'middle' of your data is. For qualitative data, this only makes sense when the variable is ordinal. An ordinal variable is one whose values have a natural order, eg never/rarely/sometimes/often/always. If you have nominal data (qualitative data with no order) eg democratic/republican/other, you might find the mode (most common value) useful.
A method of analysis using qualitative research data.
You cannot because the standard deviation is not related to the median.
"Finding the median of a group of numbers usually isn't very challenging"
a graph where a function is described without using specific values
No they do not (or at least they have less of a significant impact) and this is the benefit of using the median average over the mean average.
Heart rate is generally a quantitative measurement. You can give a specific number (quantity) for it. You could express heart rate as a qualitative measurement by simply using comparative phrases such as fast, faster, slow slower, dangerously high, dangerously low, etc. Often the quantitative measurement is mapped to the qualitative terms to give a quantitative range that can map to a qualitative term to express the impact of that type of heart rate.
Heart rate is generally a quantitative measurement. You can give a specific number (quantity) for it. You could express heart rate as a qualitative measurement by simply using comparative phrases such as fast, faster, slow slower, dangerously high, dangerously low, etc. Often the quantitative measurement is mapped to the qualitative terms to give a quantitative range that can map to a qualitative term to express the impact of that type of heart rate.
A method of analysis using qualitative research data.
Qualitative research focuses on exploring and understanding people's experiences, behaviors, and attitudes. It is typically conducted in natural settings, using methods such as interviews, observations, and focus groups to gather rich, detailed data. Qualitative research emphasizes subjective interpretation and in-depth analysis, rather than numerical measurement.
Qualitative: Description with your own point of view: Description with numbers, exact.ex: the table is blue; that would be qualitative data, because another person mite disagree and say it was red. all though if i measured the table and said it was 42cm, that would be quantitative, because im using numbers and its an exact measurement.
The median can be calculated using the Median function. Assuming the values you wanted the median of were in cells B2 to B20, you could use the function like this: =MEDIAN(B2:B20)
Temperature is just a quantitative measure. It can be done in different units such as centigrade, Fahrenheit , kelvin etc. Quality can be associated with heat( not often done). Heat is called low grade energy because it cannot be completely converted into work.
Numerical information
Put all the numbers in order and the median is the number that is in the middle!
When using the mean: the variance or standard deviation. When using the median: the range or inter-quartile range.
A linguistic variable is a concept in fuzzy logic that allows for the representation of qualitative terms as variables, such as "high," "medium," and "low," instead of precise numerical values. It enables the modeling of uncertainty and vagueness in a system by using linguistic terms to describe the input and output variables. Linguistic variables are essential for fuzzy logic systems to make decisions based on human-like reasoning.
A testable hypothesis is typically associated with quantitative research, where hypotheses are formulated based on measurable variables that can be analyzed statistically. Qualitative research often focuses on exploring phenomena in-depth, using open-ended questions and seeking to understand the underlying reasons behind certain behaviors or experiences.