STATS Exam 3

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29 Terms

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quantitative variable

numerical measurement in which operations such as addition and average make sense

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quantitative is a

number

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qualitative is a

quality(cannot be described by a number)

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qualitative

describes an individual by putting into a category or group

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population

all individuals of interest

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parameter

numerical measurement that describes an aspect of a population

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sample

subset of individuals of interest

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statistic

numerical measure that describes an aspect of a sample

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descriptive statistic

methods of organizing, picturing and summarizing information from samples or populations

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inferential statistic

methods of using information from a sample to draw conclusions regarding the popoulation

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simple random sample

every sample of size n, has an equal chance of being selected

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random sampling

eliminates human bias

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stratified sampling

divide the entire population into district subgroups

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strata is based on

age, income, education level, and insures diversity

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systematic sampling

number all members of a population using a sequence of numbers. then at a random starting point, include every k-th member in the sample

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cluster sample

divide the entire population into pre-existing segments or clusters. The clusters are often geographic. Include every member of each selected cluster in the sample

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cluster sampling pro

saves resources

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systematic sampling pro

eliminates human bias

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convenience sampling

use data from population members that are readily available

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convenience sampling can…

save resources and be severly biased

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class limits go from…

lower to upper

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class boundary goes from…

lowest minus .5, and the upper plus .5

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relative frequency is the…

frequency divided by the total number of observations

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mean

sum of all data values divided by the number of data values

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median

middle value

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mode

the data value that occurs the most often

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range

difference between the largest and smallest values

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sample standard deviation

gives an average of a data spread around the mean (larger the SD, the more spread out the data is around the mean)

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sample variance

square of a standard deviation, measure of data spead around the mean