# Chapter 9 Means and Proportions Hypothesis Tests

 Date conversion 23.05.2017 Size 12.66 Kb.
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Chapter 9 – Means and Proportions Hypothesis Tests

1. A certain tobacco company advertised that its cigarettes contain at most 40 mg of nicotine, but a researcher doubts this claim. The researcher tests 10 randomly selected cigarettes and found the nicotine levels given below.

 47.3 39.3 40.3 38.3 46.3 43.3 42.3 49.3 40.3 46.3

Test, at a 0.01 significance level, to see whether there is significant evidence that the cigarettes contain more than 40 mg of nicotine.

2. According to official census figures, 8% of couples living together are not married. A researcher took a random sample of 400 couples and found that 9.5% of them are not married. Test at the 15% significance level if the current percentage of unmarried couples is different from 8%.

3. A soft-drink manufacturer claims that its 12-ounce cans do not contain, on average, more than 30 calories. A random sample of 64 cans of this soft drink, which were checked for calories, contained a mean of 32 calories with a standard deviation of 8 calories. Does the sample information support the alternative hypothesis that the cans contain more than 30 calories? Use a significance level of 5%.

a) Based on your decision, which type of error could the sample data have led you to make? Explain what that means in the context of the question

4. A sample of 800 items produced on a new machine showed that 48 of them are defective. The factory will get rid the machine if the data indicates that the proportion of defective items is significantly more than 5%. At a significance level of 10% does the factory get rid of the machine or not?

5. The American Automobile Association (AAA) claims that 54% of fatal car/truck accidents are caused by driver error. A researcher studies 30 randomly selected accidents and finds that 14 were caused by driver error. At a significance level of , can the AAA claim be refuted?

6. A maker of frozen meals claims that the average caloric content of its meals is 800. A researcher tested an SRS of 12 meals and found that the average number of calories was 873 with a standard deviation of 100. Caloric content varies normally. Is there enough evidence to reject the claim at = 0.02?

b) Based on your decision, which type of error could the sample data have led you to make? Explain what that means in the context of the question.