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22 Cards in this Set

  • Front
  • Back
collection of procedures and principles for gathering data and analyzing information when faced with uncertainty
used to make conclusions about populations from samples
clinical trials are this kind of statistic
all observations that are of interest to the researcher
the observations that are actually obtained by the researcher, a subset of the population
denoted by n
sample size
numbers and category labels that have been collected but have not yet been processed
raw data
why do we use samples?
populations are too large
measuring process might destroy data
used to summarize raw data into tables, graphs, and numerical summaries
descriptive statistics
making conclusions about the population
inferential statistics
characteristics that vary from one individual to the next
when the outcome is unpredictable
random circumstance
assigns a number or symbol to each outcome of a random circumstance
random variable
variable that can only result ina countable set of possibilites
discrete random variable
variable that cannot take any possible value in an interval
discrete random variable
variable that can take on any value in an interval or in a collection of intervals
continuous random variable
variables that have some form of grouping or classification
categorical variable where groups or categories have a natural ordering
consist of numerical values taken on each individual
variables of which we want to determine the outcome
response variables
variables that partially explain the value of the response variable for the individual
explanatory variables
large enough to be unlikely to have occurred in the observed sample if there is no relationship in the population
statistically significant relationship