Applied Statistics MAT-240
Data - ANS-information, especially facts or numbers, usually collected or computed for
purposes of analysis.
zettabyte - ANS-one sextillion bytes
Data analytics - ANS-the field of analyzing data to gain insight, draw conclusions, or
make decisions.
big data - ANS-refers to very large data sets that cannot be processed by traditional
methods, and is characterized by high volume, rapid velocity of collection, and variety in
type and quality.refers to very large data sets that cannot be processed by traditional
methods, and is characterized by high volume, rapid velocity of collection, and variety in
type and quality.
Descriptive data analytics - ANS-seeks to describe data, providing insight and
knowledge. Ex: Based on collected data, the world population in 2015 is about 7 billion.
Predictive data analytics - ANS-seeks to make predictions from data. Ex: Using models
based on birth rates, death rates, medical care improvements, and other data, the
United Nations predicts the world population will reach 11.2 billion in 2100.
Prescriptive data analytics - ANS-seeks to make decisions (prescriptions) based on
data. Ex: Population predictions for specific countries help the United Nations decide
where to focus agricultural development efforts.
variable - ANS-an item that can have different ("varying") values. Ex: A person's age is
a variable and can have the value 10, 33, 99, or other values
quantitative variable - ANS-can take on a numeric value (quantitative data) that can be
measured and ordered. Ex: A person's age, the outside temperature, and a meal's price
are quantitative variables. Example numeric values are an age of 33 or 99 years, a
temperature of 40 or 45 degrees, and a price of 12 or 15 dollars.
categorical variable (often called a qualitative variable) - ANS-can take on the value
(usually a label) of one of several categories. Ex: A person's gender, seasons, and U.S.
companies are categorical variables. Gender can be male or female, seasons can be
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