1 Hypothesis Testing Population Proportion ( ).

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1 Hypothesis Testing Population Proportion ( )

Transcript of 1 Hypothesis Testing Population Proportion ( ).

Page 1: 1 Hypothesis Testing Population Proportion (  ).

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Hypothesis Testing

Population Proportion ( )

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Notation

p = population proportion of hits or

successes, used in the null

hypothesis.

q = 1 – p = population proportion of

misses or failures

n = sample size

p = x/n = sample proportion of hits

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p - p

pqn

z =

Test Statistic for Testing a Claim about a Population Proportion, p

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Find the P-value of the Z score.

Reject the null hypothesis if the P-value is less than or equal to the significance level

(Reject Ho if P-value < )

Fail to reject the null hypothesis if the P-value is greater than

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5(determining the sample proportion of households with cable TV)

p sometimes is given directly “10% of the observed sports cars are red” is expressed as

p = 0.10

p sometimes must be calculated“96 surveyed households have cable TV

and 54 do not” is calculated using

p = = = 0.64xn

96 (96+54)

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CAUTION

When the calculation of p results in a decimal with many places, store the number on your calculator and use all

the decimals when evaluating the z test statistic.

Large errors can result from

rounding p too much.

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For math fans: Prove

p - ppqn

z =

z = = = = x - µ x - np n n p - px np

npq npq pqn n