![]() ![]() Each Friday I often blog about technology (including StatCrunch), inside and outside of the classroom. I am a mathematics instructor at College of the Sequoias in Visalia, CA. If you have any StatCrunch or statistical questions, you can reach me through the contact page on my website. ![]() In future blogs I will explain how to use StatCrunch to perform other hypothesis tests. This supports the physician’s claim that more than 10% of all pregnant women smoke. Since the p-value is less than 0.05, we reject. (You could determine this by finding the area under the normal curve to the right of. (You could calculate this with a calculator using the formula in step 3.) In the box for the null hypothesis, change the proportion to 0.10, and change the option for the alternate hypothesis to “>”. The hypothesis testing option should be active. When using the p-value approach, the decision rule is always to reject is &latex p-value Proportions > One sample > with summary.Įnter the sample information for the number of successes (60) and the number of observations (400). The decision rule for this test is to reject if the p-value is less than 0.05. This formula is used to calculate a z-value associated with the sample data, which is in turn used to determine the p-value for the test. The appropriate test statistic for the one-proportion hypothesis test is. If the p-value is less that 0.05, this is sufficient sample evidence to reject the null hypothesis. The level of significance stated in the problem is. Since the claim is that the proportion of all pregnant women who smoke is above 10%, this tells us that the hypotheses for this test are: In addition we have one set of sample information of the form x out of n (60 out of 400). This is a one-proportion test because the claim compares a single population proportion (the proportion of all pregnant women who smoke) to a certain number (10%). Test the physician’s claim at the 0.05 level of significance. A survey of 400 randomly selected pregnant women revealed that 60 of them smoked while pregnant. I will use the p-value approach, and give directions for using StatCrunch.Įxample: A physician claims that more than 10% of pregnant women smoke while pregnant. In this blog I will go over the steps for performing a hypothesis test for a single population proportion. Hypothesis Test – Single Proportion (p-value) ![]()
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