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Newscientist.com ran the headline "Breakfast Cereals Boost Chances of Conceiving Boys," based on an article which found that women who eat breakfast cereal before becoming pregnant are significantly more likely to conceive boys.1 The study used a significance level of . The researchers kept track of foods, and for each food, tested whether there was a difference in the proportion conceiving boys between women who ate the food and women who didn't. Of all the foods, only breakfast cereal showed a significant difference.
If none of the foods actually have an effect on the gender of a conceived child, how many (if any) of the individual tests would you expect to show a significant result just by random chance?
Suppose that 98% of the customers in your market have Internet access, and you select a random sample of 500 customers. What is the probability that the sample has:
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Compute the value of the discriminant and give the number of real solutions to the quadratic equation
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