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Unformatted text preview: nd if another
sample is observed,
there is a 79% chance of getting a sample proportion less
than 6%.
79% is very high.
Hypothesis Testing for Population Proportions Hypothesis Testing for Population Proportions Steps in Conducting a Hypothesis Test
Hypothesis Test for a Single Population Proportion
Hypothesis Test for Diﬀerence in Two Population Proportions Step 4 Since pvalue ≈ 0.79 > 0.05 , we fail to reject H0.
and conclude that there is statistically insigniﬁcant
evidence to support the claim that since the
campaign began, less than 5% of the world tiger
population is killed by poachers.
So the situation has not been improved. The education
campaign has not worked. Hypothesis Testing for Population Proportions Hypothesis Testing for Population Proportions Steps in Conducting a Hypothesis Test
Hypothesis Test for a Single Population Proportion
Hypothesis Test for Diﬀerence in Two Population Proportions Example 2  YOUR TURN 90% of all restaurants fail after one year. Is that
number diﬀerent for Chinese restaurants. Of the
108 new Chinese restaurants 87 had failed after
one year. Hypothesis Testing for Population Proportions Hypothesis Testing for Population Proportions Steps in Conducting a Hypothesis Test
Hypothesis Test for a Single Population Proportion
Hypothesis Test for Diﬀerence in Two Population Proportions Steps 1 and 2
Step 1:
Hypotheses: H0: p = 0.90 Ha: p = 0.90 Step 2:
Use the standard α = 0.05.
np0 = (108)(0.9) = 97.2 ≥10
n(1p0 ) = (108)(0.1) = 10.8 ≥10
Can use the zstatistic.
Assume that the 108 Chinese restaurants were randomly
selected and that there are more than 1080 Chinese
restaurants in existence.
Hypothesis Testing for Population Proportions Hypothesis Testing for Population Proportions Steps in Conducting a Hypothesis Test
Hypothesis...
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This test prep was uploaded on 03/12/2014 for the course STATS 10 taught by Professor Ioudina during the Spring '08 term at UCLA.
 Spring '08
 Ioudina

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