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Chapter 18. Sampling Distribution. Key Concepts. SD( p) = . Example 1.
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Chapter 18 Sampling Distribution
Key Concepts SD( p) =
Example 1 • Suppose that about 13% of the population is left handed. A 200 seat school auditorium has been built with 15 lefty seats. In a class of 90 students what is the probability that there will not be enough seats for the left handed students?
Plan • We want the probability of finding more that 16.7% left handed students out of a sample size of 90 students if the proportion of lefties is 13%.
Always check conditions • Randomization Condition: • 10% condition: • Success/ Failure np>10 nq > 10
State the parameter and the sampling distribution model • p= • The conditions are satisfied N( mean ( use population proportion), SD) N(.13, .035)
Find the z-score z= P( p >.167) =
Example 2 • Information on a packet of seeds claims that the germination rate is 92%. What is the probability that more than 95% of the 160 seeds in the packet will germinate?
State the parameter and the sampling distribution model • p= • The conditions are satisfied N( mean ( use population proportion), SD) N( )