Introduction to Statistics Flashcards
(26 cards)
the science of collecting, organizing, analyzing, and interpreting data in order to make decisions
Statistics
consists of information coming from observations, counts, measurements, or responses.
Data
the collection of all outcomes, responses, measurement, or counts that are of interest.
population
is a subset of a population.
A sample
is a numerical description of a population characteristic
parameter
a numerical description of a sample characteristic
statistic
The study of statistics has two major branches:
descriptive statistics and inferential statistics.
Involves the organization, summarization, and display of data.
Descriptive statistics
Involves using a sample to draw conclusions about a population.
Inferential statistics
information in newspapers presented in tables, charts, graphs and other relevant computations such as percentages.
Descriptive Statistics
it leads to prediction, inferences, interpretation or conclusion about the entire population.
Inferential Statistics
is a characteristic that changes or varies over a period of time and/or for different individuals or objects under consideration
VARIABLE
When a variable is actually measured on individuals or objects of interest to the investigator, a__ is obtained.
set of measurements or data
result when a single variable is measured on a single individual or object
Univariate Data
result when more than two variables are measured on a single individual or object
Multivariate Data
Data sets can consist of two types of data:
qualitative data and quantitative data.
Consists of attributes, labels, or nonnumerical entries
Qualitative Data
Consists of numerical measurements or counts.
Quantitative Data
Quantitative Variables can further be classified as
discrete or continuous
is one for which, within the limits the variable ranges, any value is possible.
Example: weight, time to complete a task, height, salary, amount
CONTINUOUS VARIABLE
- is one that cannot take on all values within the limits of the variable.
- can be attained by counting.
Examples: response to a five-point rating scale (1, 2, 3, 4 and 5), number of provinces in region 12, number of children
DISCRETE VARIABLE
The four levels of measurement are
Nominal
Ordinal
Interval
Ratio
Calculated using names, labels, or qualities. No mathematical computations can be made at this level.
Nominal
Arranged in order, but differences between data entries are not meaningful.
Ordinal