is the science concerned with developing and studying methods for collecting, analyzing, interpreting and presenting empirical data.
Statistics
are used to organize or summarize a particular set of measurements; these are employed by the researchers when their purpose is merely to describe a set of data; E.g. graphs, calculation of means (average) and examining the extreme scores
Descriptive statistics
use a random sample of data taken from a population to describe and make inferences about the population.
Inferential statistics
a measure that refers to an entire population; the REAL entities of interest.
Parameter
a measure calculated from a sample of data that we have collected; GUESSES at reality.
Statistic
is used more broadly and is more appropriately termed scales of measurement.
measurement
ways in which variables/numbers are defined and categorized.
Scales of measurement
The four scales of measurement are
nominal, ordinal, interval, & ratio.
Are not really scales at all; they do not scale items along any dimension, but rather label them.
E.g Male or Female, Republican or Democrat, number in the jersey, etc.
Nominal Scale
This scale orders people, objects, or events along some continuum.
It also represents an ordered series of relationships or rank order
Ordinal scale
A measurement scale in which we can legitimately speak of differences between scale points. • A scale which represents quantity and has equal units but for which zero represents simply an additional point of measurement.
Interval scale
Highest and most informative scale; With these scales, we have the properties of not only the preceding scales but we also can speak about ratios. E.g. length, volume, time, etc.
Ratio scale
involves randomly selecting a number of participants from a group.
simple random sample
requires randomly selecting participants from different subsets of the population. These subsets might include characteristics such as geographic location, age, sex, race, or socioeconomic status.