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algebra 1 chapter 12
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Terms in this set (30)
population
every member in a large group of data
sample
a small part of a population
survey
data ascertained from responses given by a sample of the population
biased sample
a sample that favors one group over another
random sample
a sample in which each member of the population has an equal probability of being chosen
stratified random sample
The population is first divided into similar, non-overlapping groups from which a random sample is selected
systematic random sample
a sample in which the items are selected according to specified time in or item interval
measures of central tendency
Numbers or pieces of data that represent the entire data set
quantitative data
Data that can be given and analyzed as numerical values
qualitative data
Data that cannot be given a numerical value
statistical inference
statistics of a sample are used to draw conclusions about the entire population
statistic
A measure that describes a characteristic of a sample
parameter
A measure that describes a characteristic of an entire population
mean absolute deviation
The average of the absolute values of the differences between the mean in each value in the data set
Standard deviation
A calculated value that shows how the data deviates from the mean of the data
variance
The square of the standard deviation
sample space
A list of all the items or objects in a group
permutation
A list of items or objects that are arranged so that order is important
factorial
n!=n•(n-1)•(n-2)•(n-3)•...•1, where n>_1. Also, 0! =1
observational study
Data ascertained from direct observation
experiment
Data ascertained after changing a variable in the sample
simple random sample
A sample that is equally likely to be chosen as any other sample from the population
univariate data
Data that involves only one variable
measures of variation
Numbers used to describe the distribution of statistical data
combination
A selection of objects in which order is not important
compound event
A combination of two or more simple events
independent events
when the out come of one event does not affect the outcome of the other
Dependent events
when the outcome of one event affects the outcome of another event
mutually exclusive events
events that cannot occur at the same time
conditional probability
The probability that event B occurs given that event A has already occurred
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