Statistics Flashcards
The practice or science of collecting and
analyzing numerical data in large quantities,
especially for the purpose of inferring
proportions in a whole from those in a
representative sample.
Statistics
Are
methods for
organizing and
summarizing
data.
Descriptive Statistics
- consists of procedures used to make inferences about population characteristics from information contained in a sample drawn from this population.
- covers a large variety of techniques that allow us to make actual claims about a population based on sample of data.
Inferential statistics
“The theory of statistics uses ____________ to measure the uncertainty associated with an inference. It enables us to calculate the ____________ of observing specific samples, under specific assumptions about the population. The statistician uses
these __________ to evaluate the uncertainties associated with
sample inferences.”
probability/probabilites
information or facts necessary to conduct a certain study.
Data
Data that has been
collected by
researcher
themselves for the
specific purposes of
answering a
research question
Primary Data
Data that has been
collected by another
researcher or
organization for
other purposes
Secondary Data
is a characteristic that changes or varies
over time and/or for different individuals or object under consideration.
Variable
is a variable whose numerical is determined by the outcome of some chance experiment.
Random Variable
is the individual or object on which a variable is measured. A single measurement or data value results
when a variable is actually measured on an ___________.
Experimental Unit
result when a single variable is
measured on a single experimental unit.
Univariate data
result when two variables are measured on a single experiment unit.
Bivariate data
results when more than two variables are measured.
Multivariate data
in a statistical study is the group of objects drawn about which conclusions are to be drawn.
Population
is a subset of measurements selected from the population of interest.
Sample
descriptive value for a population
Parameter
measures a quality or characteristic on each experiment unit.
Qualitative Data
measures a numerical quantity or amount on each experiment unit.
Quantitative data
results from either a finite of possible values or countable number of possible values (That is, the number of possible values is 0, 1, or 2, and so on)
Discrete data
results from many possible values that can be associated with points on a continuous scale in such a way that there are no gaps or interruptions.
Continuous Data
Under qualitative data
Nominal scale and ordinal scale
Uder quantitative data
Interval scale and ratio scale
is characterized by the data that consist of
names, labels or categories only, and the
data cannot be arranged in an ordering
scheme.
Nominal
involves data that may be arranged in some order, but differences between data values either cannot be determined or are meaningless.
Ordinal