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Unformatted text preview: alternative hypothesis points to the right, we will have a right-tailed test. We will use α =0.05 to determine the critical value point. Our critical value point is 1.645, so any number larger than that will tell us to reject the null hypothesis. Next we need to find the test statistic. Because we are working with a percentage we will use the formula: Z=P-pie divided by the square root of pie times 1-pie divided by n. We will plug in p, which is equal to, 200/1000, and pie which is equal to 0.15, and our n, which is equal to 1,000. By applying these numbers to the formula we get a test statistic of 4.43. This puts us inside the critical value of 1.645. From this we know to reject the null hypothesis, and show that we have sufficient evidence to prove that the proportion will exceed 0.15. This project shows that if McDonald’s wants to sell 200 dessert products for every 1,000 transactions with a proportion exceeding 0.15 it would be a good move to introduce this new dessert product to the menu....
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- Spring '08
- Null hypothesis, Statistical hypothesis testing, McDonalds management, new dessert product, critical value point