Refer to Example 13.2, in which we tested whether there was a relationship between gender and driving after drinking alcohol. Remember that the Supreme Court used the data to determine whether a law was justified. The law differentiated between the ages at which young males and young females could purchase 3.2% beer. Specify what a type 1 and a type 2 error would be for this example. Explain what the consequences of the two types of error would be in that context.
Answer to relevant QuestionsA CNN/ ORC poll conducted in January, 2013, asked 814 adults in the United States, “ Which of the following do you think is the most pressing issue facing the country today?” and then presented seven choices, one of ...In a February, 2013, CBS News/ New York Times poll of 250 American Catholics who attend mass at least once a week, 57% answered yes to the question, “Do you favor allowing women to be priests?” ...One of the results was “women had better memory for emotional pictures than men; pictures rated as most highly arousing were recognized significantly more often by women than by men as familiar [t(20) = 2.40, P < 0.05] or ...We have learned that the probability of making a type 1 error when the null hypothesis is true is usually set at 5%. The probability of making a type 2 error when the alternative hypothesis is true is harder to find. Do you ...Refer to the sentence in warning 7 on p. 528 that states: “If all of the null hypotheses tested are true, then over the long run about 1 in 20 tests should achieve statistical significance just by chance.” Is that ...
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