A confidence interval may be used to estimate the value of , the linear correlation coefficient of the population. Usually this is accomplished by using the t-table with degrees of freedom equal to n -1.
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Q. 2Which of the following is not a characteristic of a binomial experiment?
a. The experiment consists of n identical and independent trials.
b. The probability of success on a single trial remains constant from trial to trial.
c. The standard deviation of the binomial random variable is the square root of the mean.
d. Each trial results in one of two outcomes.
e. All of these.
Q. 3Inferences about the linear correlation coefficient are about the pattern of behavior of the two variables involved and the usefulness of one variable in predicting the other.
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Q. 4It has been alleged that 40 percent of all college students favor Dell computers. If this were true, and we took a random sample of 50 students, the binomial probability table for cumulative values of x available in your text, would reveal which of the following probabilities?
a. The probability of 10 or fewer students in favor is .586.
b. The probability of fewer than 20 students in favor is 1.000.
c. The probability of more than 15 students in favor is .013.
d. All of these.
e. None of these.
Q. 5Like the variance and standard deviation, the covariance of a single set of bivariate data is always positive.
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Q. 6A manufacturer of golf balls uses a production process that produces 10 percent defective balls. A quality inspector takes samples of a week's output with replacement. Using the cumulative binomial probability table available in your text, the inspector can determine which of the following probabilities?
a. If 5 units are inspected, the probability of at most 3 of these units being defective is .984.
b. If 10 units are inspected, the probability of 5 or 6 of these units being defective is .002.
c. If 15 units are inspected, the probability of at least 10 of these units being defective is .547.
d. If 20 units are inspected, the probability of at least 19 of these units being defective is .0009.
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