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FOR REFERENCES:

O a Let Us Study In Module 1, you learned that there are steps to be followed in hypothesis testing, starting from formulating the null and the alternative hypotheses up to summarizing results. This is also true if you are testing hypothesis concerning population proportion. But prior to that, you must fully understand the given situation and identify What values are given on the problem. It is important to correctly identify the different symbols involved and their corresponding values found in the given problem. Formulating Appropriate Null and Alternative Hypotheses on a Population Proportion The null hypothesis Ho states that the proportion p is equal to a specic value or the hypothesized proportion po. The alternative hypothesis Ha is the competing claim that the population proportion p is less than, greater than or not equal to po. When testing for population proportions, there are three (3) possible alternative hypotheses. They are based on the wording of the question instructing you what to hypothesize. (See illustrative examples below.) Alternative Hypotheses CLUES / WORDS USED (SYMBOLS TO BE USED) a. Ha : p p0 larger, greater, more, increased 6. Ha : p p0 different, not equal to, Changed Where: p = population proportion 1 pa = hypothesized proportion Two-Tailed Test Right-Tailed Test Left-Tailed Test N ll H0:p= Po H0:p = P0 U or 01' - H0:p = P0 HypotheSIs H0:p S Po H0:p 2 P0 Alternative Hypothesis Ha: p at 2'0 Ha: p > I'll Ha: p 0.75 than 75%. (one-tailed test)