![]() ![]() Use a 0.01 significance level to test the claim that supermodels have heights with a mean that is greater than the mean height of 162 cm for women in the general population. Heights of Supermodels Listed below are the heights (cm) for the simple random sample of female supermodels Lima, Bundchen, Ambrosio, Ebanks, Iman, Rubik, Kurkova, Kerr,Kroes, Swanepoel, Prinsloo, Hosk, Kloss, Robinson, Heatherton, and Refaeli. For this project, you will use the Statcrunch software to find confidence intervals and conduct hypothesis tests for population means and proportions. Identify the null and alternative hypotheses, test statistic, P-value (or range of P-values), or critical value(s), and state the final conclusion that addresses the original claim. Unless specified by your instructor, use either the P-value method or the critical value method for testing hypotheses. In Exercises 13–24, assume that a simple random sample has been selected and test the given claim. NOTE: If you want to display the frequency or relative frequency for each category on the graph, check the box Value above bar. Why would it be unwise to use a significance level with a number like 0.0483? Common significance levels are 0.01 and 0.05. Another memory trick commonly used is this: “If the P is high, the null will fly.” Given that a hypothesis test never results in a conclusion of proving or supporting a null hypothesis, how is this memory trick misleading?ĭ. Assuming a significance level of 5, if StatCrunch gives a p-value of 0.315, then we would reject the null hypothesis. It was stated that we can easily remember how to interpret P-values with this: “If the P is low, the null must go.” What does this mean?Ĭ. An Explanation of P-Values and Statistical Significance - Statology Apby Zach An Explanation of P-Values and Statistical Significance In statistics, p-values are commonly used in hypothesis testing for t-tests, chi-square tests, regression analysis, ANOVAs, and a variety of other statistical methods. Question: Assuming a significance level of 5, if StatCrunch gives a p-value of 0.315, then we would reject the null hypothesis. Are any of the three requirements violated? Can the methods of this section be used to test the claim?ī. In Exercises 1–4, use these results from a USA Today survey in which 510 people chose to respond to this question that was posted on the USA Today website: “Should Americans replace passwords with biometric security (fingerprints, etc)?” Among the respondents, 53% said “yes.” We want to test the claim that more than half of the population believes that passwords should be replaced with biometric security.Ī.
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