MAT 240 MODULE 1 QUESTIONS WITH 100%
ACCURATE SOLUTIONS
Descriptive statistics
methods that are used to describe data
Inferential statistics
methods that are used to draw conclusions from data
Data analytics
the field of analyzing data to gain insight, draw conclusions, or make decisions
Descriptive data analysis
data analysis that seeks to describe data, providing insight and knowledge. Ex: based on
collected data, the world population in 2015 is about 7 billion people.
Predictive data analysis
data analysis that seeks to make predictions from data. Ex: Using models based on birth rates,
death rates, medical care improvements, and other data, the UN predicts the world population
will reach 11.2 billion in 2100.
Prescriptive data analysis
data analysis that 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
an item that can have different ('varying') values
Quantitative variable
A variable that can take on a numeric value which can be measured and ordered.
, Categorical variable
A variable that can take on the value (usually a label) of one of several categories
Qualitative variable
Another term for categorical variable (known by qualities rather than quantities)
Nominal variable
A type of categorical variable which has no ordering, existing in name only
Ordinal variable
A type of categorical variable which can be ordered, such as disagree, netural, and agree
Continuous variable
A type of quantitative variable which has an infinitely long value along a continuous range,
typically real numbers. Continuous variable usually represent measurements, like height or
temperature.
Discrete variable
A type of quantitative variable which has a finite range, typically integers. Usually represents
countable items, like number of people in a family (5) or cars in a city (502,342).
Data visualization
the display of data in a format, such as a table or chart, that seeks to achieve a goal of
conveying particular information to a particular audience
Cardinality
the number of unique elements in a dataset. Ex: a set of student IDs of students in a class is
high in this value because each ID is unique, where the age of students would be low in this
value, because there are only a few possibilities of age. Certain charts (pie charts) are not well
suited if high in this value, because the chart will not be readable with too many values. Scatter
plots or histograms are more suited for higher values.
ACCURATE SOLUTIONS
Descriptive statistics
methods that are used to describe data
Inferential statistics
methods that are used to draw conclusions from data
Data analytics
the field of analyzing data to gain insight, draw conclusions, or make decisions
Descriptive data analysis
data analysis that seeks to describe data, providing insight and knowledge. Ex: based on
collected data, the world population in 2015 is about 7 billion people.
Predictive data analysis
data analysis that seeks to make predictions from data. Ex: Using models based on birth rates,
death rates, medical care improvements, and other data, the UN predicts the world population
will reach 11.2 billion in 2100.
Prescriptive data analysis
data analysis that 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
an item that can have different ('varying') values
Quantitative variable
A variable that can take on a numeric value which can be measured and ordered.
, Categorical variable
A variable that can take on the value (usually a label) of one of several categories
Qualitative variable
Another term for categorical variable (known by qualities rather than quantities)
Nominal variable
A type of categorical variable which has no ordering, existing in name only
Ordinal variable
A type of categorical variable which can be ordered, such as disagree, netural, and agree
Continuous variable
A type of quantitative variable which has an infinitely long value along a continuous range,
typically real numbers. Continuous variable usually represent measurements, like height or
temperature.
Discrete variable
A type of quantitative variable which has a finite range, typically integers. Usually represents
countable items, like number of people in a family (5) or cars in a city (502,342).
Data visualization
the display of data in a format, such as a table or chart, that seeks to achieve a goal of
conveying particular information to a particular audience
Cardinality
the number of unique elements in a dataset. Ex: a set of student IDs of students in a class is
high in this value because each ID is unique, where the age of students would be low in this
value, because there are only a few possibilities of age. Certain charts (pie charts) are not well
suited if high in this value, because the chart will not be readable with too many values. Scatter
plots or histograms are more suited for higher values.
