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204 100.1%2c10.2%2c10.3 hypth tests for mean z%2ct

# 204 100.1%2c10.2%2c10.3 hypth tests for mean z%2ct - 10.1...

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10.1 TESTS OF HYPOTHESES An important area of inferential statistics is the testing of claims. Examples: Is the average volume of bottles for a particular brand of milk at least 128 ozs.? Is a newly develop drug more effective at curing a disease than current drugs on the market? Do more than 50% of the people who will vote in the next election favor passage of a bond issue? To test these claims we have a statistical procedure called hypothesis testing. We start by forming a claim called the null hypothesis (Ho) . The term null comes from concept that this claim is typically a statement of no difference or no effect. For example, we may state that μ = 128 ozs. (i.e.there is no difference between the advertised values of 128 ozs. and the true mean μ.) In conjunction with the null hypothesis we form another hypothesis called the alternative hypothesis (Ha) . The alternative hypothesis is what we suspect is true. When the observed data is very unlikely to occur if the null hypothesis is true we can conclude that the one of the following must be true: 1) The null hypothesis is true and we observed a rare set of data, or 2) The null hypothesis is false Example:

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204 100.1%2c10.2%2c10.3 hypth tests for mean z%2ct - 10.1...

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