Understanding Qualitative and Quantitative Data in Statistics

Running head: STATISTICS 1
Statistics
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STATISTICS 2
Statistics
Qualitative data are descriptions and characteristics that can be quantified; nonetheless,
the data can be viewed individually for instance textures, tastes and color. To establish data that
is qualitative, a person is required to group, arrange, or examine something. It is not founded on
measurements or numbers. Also referred as categorical data, it is grounded on personal opinions
and observations (Bowerman, et al, 2019). Instances of this are marital status, gender, military
status or even education. For goods of sports, it comprises texture, color, appearance and size of
sporting equipment. For consumers comprehending data that is qualitative of particular good of
sports for instance feel of mouth guard, weight of the shoulder or color of a bike or weight of the
shoulder pads. Important concerns or questions that any patron could possess on equipment of
sport that is grounded of the description or characteristic of the commodity is regarded as the
attribute that is qualitative of the commodity. Qualitative nominal characteristics are data
grouped with no natural ranking or order sequence for instance gender or race. Therefore, for
consumers they can arrive searching for a certain article of gender related clothing or a certain
color of sport equipment. Generally, the goal of data that is qualitative is to help define consumer
beliefs, opinions and values, help in recognizing or classifying numerical variances and help in
refining data research methods
Nominal data is used for variable labelling without any measurable value. Instances
include color of eyes or hair, gender, or where someone resides. In this terminology, scales do
not have any statistical importance and are equally exclusive (Levels of Measurements. n.d ). It
does not denote a certain rank, quantity or order and only offers recognition for objects. There is
no two objects that hold a combined identity. Data is nominal in case the observations or values