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Central location measures including mean, medina, mode etc., and dispersion measures
including variance, standard deviation, range etc. cane be used to understand the data properties
and take decision. This paper aims at reviewing the data type, level of measurement, central
location & dispersion measures of food data of 200 customers.
Descriptive Measures of Consumer Food Data
The data represented the first three columns namely- annual food spending, annual
household income, and non-mortgage household debt are quantitative data in nature. Numerical
values based on which each customers can be analyzed and assessed quantitatively has been
assigned for each of these variables. The data represented in the fourth and fifth column namelyregion and location are qualitative data. The location and state of the consumers can be known
from these data. No quantitative analysis can be made with these data.
Level of Measurement
The data represented in the first three columns are ratio level data. Besides on these data
categorization and ordering of the customers can be made. Beside these, each of these data has
equal interval and zero values of these are meaningful. The data represented in the last two
columns namely customer region, and customer location are nominal level data. With these data,
customers can be categorized but cannot be ordered. Nominal level data contains data based on
which only categorization can be made only.
Measures of Location
The mean of the annual food spending, annual household income, and non-mortgage
household debt of the consumers are 8966.1, 55552.4, and 15604.2 respectively. These means
value represent the expected value or typical value (average) of annual food spending, annual
household income, and non-mortgage household debt of the consumers.
The median value of the annual food spending, annual household income, and nonmortgage household debt of the consumers are 8932.0, 54957.5, and 16100.2 respectively. These
median value represent medium values when the annual food spending, annual household
income, and non-mortgage household debt data of t...