1. Hypothesis Testing

2. What is a Hypothesis In statistics, a hypothesis is a claim or statement about a characteristic of a population. A Null Hypothesis, denoted H o, is a statistical hypothesis that contains a statement of equality such as. a, is the compliment of the null hypothesis. It is a statement that must be true ifThe Alternative Hypothesis, denoted H a, is the compliment of the null hypothesis. It is a statement that must be true if H o is false and it contains a statement of inequality, such as.

4. Testing the Hypothesis There are two basic approaches to testing a hypothesis. 1) p-value approach 2) critical value approach Similar to when we calculated confidence intervals, the formula used depends upon the characteristics of the sample. These formulas result in a test statistic which is then examined at a given significance level.

5. Age of patients: The admissions office at Memorial Hospital recently stated that the mean age of its patients was 46 years, with a standard deviation of 20 years. A random sample of 120 ages was obtained from admissions office records in an attempt to disprove the claim. Is a sample mean of 44.2 years significantly smaller than the claimed 46 years at the  =.10 level of significance?

6. Hamburger Fat Content: A restaurant claims that its hamburgers have no more than 10 grams of fat. You work for a nutritional health agency and are asked to test this claim. You find that a random sample of nine hamburgers has a mean fat content of 13.5 grams and a standard deviation of 5.8 grams. A  = 0.10, do you have evidence to reject the restaurant’s claim?

7. Genetically Modified Foods: An environmentalist claims that more than 58% of British consumers want supermarkets to stop selling genetically modified foods. You want to test this claim. You find that in a sample of 100 randomly selected British consumers, 61% say that they want supermarkets to stop selling genetically modified foods. At  = 0.10, can you support the environmentalist’s claim?