Normal distribution and confidence intervals

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1. State the main points of the Central Limit Theorem for a mean.

2. Why is population shape of concern when estimating a mean? What does sample size have to do with it?"
(Doane and Seward, p. 338)

3. A random sample of 10 miniature Tootsie Rolls was taken from a bag. Each piece was weighed on a very accurate scale. The results in grams were

3.087 3.131 3.241 3.241 3.270 3.353 3.400 3.411 3.437 3.477

a) Construct a 90 percent confidence interval for the true mean weight.

b) What sample size would be necessary to estimate the true weight with an error of ±0.03 grams with 90 percent confidence?

c) Discuss the factors which might cause variation in the weight of Tootsie Rolls during manufacture.

4. In 1992, the FAA conducted 86,991 pre-employment drug tests on job applicants who were to be engaged in safety and security-related jobs, and found that 1,143 were positive.

a) Construct a 95 percent confidence interval for the population proportion of positive drug tests.

b) Why is the normality assumption not a problem, despite the very small value of p?

Reference no: EM13105892

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