The number of defects in a random sample of 200 parts produced by a machine is binomially distributed with p = .03 . Based on this information, the expected number of defects in the sample is 6.
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Q. 2In a single-factor ANOVA, we must assume that the effects due to chance and due to untested factors are F-distributed.
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Q. 3The distribution of the number of phone calls to a doctor's office in a one-hour time period is likely to be described by a binomial distribution.
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Q. 4In a single-factor ANOVA, we must assume independence among all observations of the experiment.
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Q. 5A life insurance salesperson makes 15 sales calls daily. The chance of making a sale on each call is 0.40 . The probability that he will make at most 2 sales is less than 0.10.
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Q. 6In a single-factor ANOVA, our goal is to investigate the effect that various levels of the factor being tested have on each other.
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Q. 7The binomial distribution could be used to describe the spread of tennis balls when the players are serving.
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Q. 8In a single-factor ANOVA, the null hypothesis is that there is no difference between the levels of the factor being tested.
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Q. 9The binomial experiment requires that the successes and failure probabilities be constant from one trial to the next and also that these two probabilities be equal to each other.
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