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Sampling Distributions

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Presentation on theme: "Sampling Distributions"— Presentation transcript:

1 Sampling Distributions
Section 9.1

2 Parameter A number that describes the population
A fixed number…but in practice it is not known

3 Statistic A number that describes a sample
Can change from sample to sample Used to estimate an unknown parameter

4 Symbols  is the mean of a population x bar is the mean of a sample
p represents a population proportion p hat represents a sample proportion

5 Sampling Variability The value of a statistic varies in repeated random sampling

6 Sampling Distribution
The distribution of values taken by the statistic in all possible samples of the same size from the same population

7 Unbiased Statistic A statistic is unbiased if the mean of the sampling distribution is equal to the true value of the parameter being estimated

8 Variability of a Statistic
Described by the spread of its sampling distribution Large samples give smaller spread

9 As long as the population is much larger than the sample, the spread of the sampling distribution is approximately the same for any population size

10 Practice Problems pg. 489 #9.1-9.4 pg. 499 #9.8


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