Testing_for_Proportions

# Testing_for_Proportions

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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 p-value ≈ 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(1-p0 ) = (108)(0.1) = 10.8 ≥10 Can use the z-statistic. 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.

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