Testing_for_Proportions

# Independence each observation or measurement must

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Unformatted text preview: st 10 times bigger than the sample size. Independence: Each observation or measurement must have no inﬂuence on any others. Null hypothesis: H0 is true 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 3: Compute the Test Statistics ˆ Take a sample and ﬁnd the sample statistic: p . Calculate the test statistic Recall H0 :p = p0 zobserved = Observed − Null SE zobserved = ˆ p − p0 p0 (1−p0 ) n 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 3: Compute the Test Statistics ˆ Take a sample and ﬁnd the sample statistic: p . Calculate the test statistic Recall H0 :p = p0 zobserved = Observed − Null SE zobserved = ˆ p − p0 p0 (1−p0 ) n 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 The Meaning of the Test Statistics The test statistic, zobserved , tells us how unlikely that sample proportion could have happened by random chance had the null hypothesis been true. If the null hypothesis is true, then the test statistic should be close to 0. Therefore, the farther the test...
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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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