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Statistics Final Exams (Terms)

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slovin's formula

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SAT Prep

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Date created

Mar 1, 2020

Cards (25)

Section 1

(25 cards)

slovin's formula

Front

formula to determine the number of students that should be in the sample

Back

normal distribution

Front

a continuous, symmetric, bell-shaped distribution of a variable

Back

population

Front

mean = 𝝁

Back

sample

Front

mean = x

Back

greek letters

Front

populations are denoted by

Back

z-score

Front

another term for standard score

Back

1

Front

area between the curve and the horizontal axis is exactly _.

Back

stratified sampling

Front

the population is first divide into strata and then samples are randomly selected separately from each stratum

Back

simple random sampling

Front

a sampling technique in which every element of the population has the same probability of being selected for inclusion in the sample

Back

center

Front

where the mean is located in the normal distribution

Back

statistics

Front

describes a sample

Back

unimodal

Front

a data set that has only one value that occur the greatest frequency

Back

sampling

Front

refers to the process of selecting these individuals

Back

parameter

Front

describes a population

Back

symmetrical

Front

having sides or halves that are the same

Back

sample

Front

a portion, or part, of the population of interest selected for analysis

Back

mean, standard deviation

Front

two (2) parameters that determine normal distribution

Back

sample

Front

a group in a research study on which information is obtained

Back

k = N/n

Front

formula for systematic sampling

Back

cluster sampling

Front

the entire population is broken into small groups, or clusters, and then, some of the clusters are randomly selected

Back

equal

Front

the mean, median, and mode are _______

Back

population

Front

group to which the results of the study are intended to apply

Back

random sampling

Front

a process whose members had an equal chance of being selected from the population; also called probability sampling

Back

population

Front

consists of all members of the group about which you want to draw a conclusion

Back

systematic sampling

Front

random sampling technique in which every kth element of the population is selected until the desired number of elements in the sample is obtained

Back