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Unformatted text preview: close to the total limit on the cards. Suppose a random sample of 600 credit card users is taken. What is the probability that more than 150 credit card users in the sample are very close to the total limit on their cards? .0080 Probability = 4. Refer to question 3. What is the probability that the sample proportion will be between 18% and 23%? .8490 5. a. If the expected value of the estimator a θ is equal to the value of the parameter , then a is said to be unbiased . b. If an estimator a is the most efficient of all the estimators under consideration, then a has a smaller variance than do all of the rest of the estimators. c. If for any positive number ε , P[ │ a │ < ε ] → 1 as the sample size becomes very large, then a is said to be 2 consistent . 3...
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 Spring '08
 HUDGINS
 Normal Distribution, Standard Deviation, Variance, Sample standard deviation

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