Testing_for_Proportions

Independence each observation or measurement must

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

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...
View Full Document

Ask a homework question - tutors are online