In estimating the difference between two population means, if a 90 confidence interval estimate includes zero, then we can conclude that there is a 90 chance that the difference between the two population means is zero.
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Q. 2Nonparametric methods depend on:
a. the distribution of the population being sampled.
b. more confining restrictions than their parametric counterparts.
c. many assumptions about the parent population.
d. None of the above is correct.
Q. 3For a continuous random variable x, P(6 < x < 8) is represented by the area under the probability function over the interval from 6 to 8.
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Q. 4Suppose a 90 confidence interval for the mean time it takes to serve a customer at a drive-in bank is 120 seconds to 220 seconds. At the 90 confidence level, there is not enough evidence to conclude that the mean service time is not 200 seconds.
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Q. 5Which one of the following statements is correct in describing the nonparametric tests?
a. The nonparametric methods require us to make assumptions about the distribution of the population from which the measurements come.
b. The underlying probability theory for the nonparametric method is often a binomial distribution.
c. The nonparametric methods generally use difficult to calculate test statistics.
d. The z is used as a test statistic for most nonparametric tests because we need to assume that the variable is normally distributed.
Q. 6If x denotes a continuous random variable, P(x = c) = 0 for every number c.
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Q. 7Suppose a 90 confidence interval for the mean time it takes to serve a customer at a drive-in bank is 120 seconds to 220 seconds. In repeated sampling 90 of the intervals constructed using the appropriate formula will contain the actual mean time.
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