EDA CH1 T1 Flashcards
refers to the field or discipline of study
second meaning of statistics
is a group of methods used to collect, analyze, present, and interpret data and to make decisions
statistics
consists of methods for organizing, displaying, and describing data by using tables, graphs, and summary measures.
descriptive statistics
types of statistics
descriptive and inferential
consists of methods that use sample results to help make decisions or predictions about a population.
inferential statistics
consists of all elements – individuals, items, or objects – whose characteristics are being studied.
population
population that is being studied is also called the
target population
A portion of the population selected for study is referred to as a
sample
A survey that includes every member of the population is called a
census
The technique of collecting information from a portion of the population is called a
sample survey
A sample that represents the characteristics of the population as closely as possible is called a
representative sample
A sample drawn in such a way that each element of the population has a chance of being selected is called a
random sample
If all samples of the same size selected from a population have the same chance of being selected, we call it
simple random sampling
such a sample is called
simple random sample
an ____ of a sample or population is a specific subject or object (for example, a person, firm, item, state, or country) about which the information is collected.
element or member
is a characteristic under study that assumes different values for different elements.
variable
the value of a ____ is fixed
constant
The value of a variable for an element is called an
observation or measurement
is a collection of observations on one or more variables.
data set
types of variables
quantitative and qualitative or categorical
A variable that can be measured numerically is called a
quantitative variable
The data collected on a quantitative variable are called
quantitative data
A variable whose values are countable is called a
discrete variable
can assume only certain values with no intermediate values.
discrete variable
A variable that can assume any numerical value over a certain interval or intervals is called a
continuous variable
A variable that cannot assume a numerical value but can be classified into two or more nonnumeric categories is called a
qualitative or categorical variable
Data collected on different elements at the same point in time or for the same period of time are called
cross-section data
Data collected on the same element for the same variable at different points in time or for different periods of time are called
time-series data
sources of data
- internal sources
- external sources
- surveys and experiments