Chapter 1: Introduction to Statistics Flashcards
statistics
- the science of gathering, describing, and analyzing data
- the actual numerical descriptions of sample data
population
a particular group of interest

variable
a value or characteristic that changes among members of the population
data
counts, measurements, or observations gathered about a specific variable in a population in order to study it
census
a study in which data are obtained from every member of the population
parameter
a numerical description of a population characteristic.
sample
a subset of the population from which data are collected.

sample statistics
numerical descriptions of sample characteristics
descriptive statistics
gathers, sorts, summarizes, and displays the data
inferential statistics
involves using descriptive statistics to estimate population parameters
qualitative data
labels or descriptions of traits (qualities)
quantitative data
counts and measurements (quantities)
continuous data
quantitative data that can take on any value in a given interval and are usually measurements (height, length, etc.)
discrete data
quantitative data that can take on only particular values and are usually counts (number of people, etc.)
nominal level
- uses qualitative data consisting of labels or names with no natural order
- colors of cars, names of people, etc.
- calculations not possible

ordinal level
- qualitative data that can be arranged in a meaningful order
- rankings of popular ice cream flavors, sports teams, etc.
- calculations such as addition or division do not make sense

interval level
- quantitative data that can be arranged in a meaningful order, and differences between data entries are meaningful; zero is a position on a scale, not the absence of something
- temperatures besides Kelvin, birth years, etc.
- adding and subtracting make sense here

ratio level
- quantitative data that can be ordered, differences between data entries are meaningful, and the zero point indicates the absence of something
- one cost is twice as much as another, etc.; Kelvin fits here
- adding, subtracting, multiplying, and dividing possible

What two things do we use to decide what level of measurement the data are in?
whether they have a natural order (qualitative)
whether zero is meaningful (quantitative)
