1.The standard error of x1 and x2 is the
A) standard deviation of the sampling distribution of x1 and x2
2.To avoid the problem of not having access to Tables of F distribution with values given for the lower tail, the denominator of the test statistic should be the one with.
A) the smaller sample variance\
3.A statistical test conducted to determine whether to reject or not reject a hypothesized probability distribution for a population is known as a
A) goodness to fit test
4.The mean square is the sum of squares divided by
A) its corresponding degrees of freedom
5.The variable of interest in an ANOVA procedure is called
A) a factor
6.In an analysis of variance, one estimate of σ2 is based upon the differences between the treatment means and the
A) overall sample mean
7.If we are interested in testing whether the proportion of items in population 1 is larger than the proportion of items in population 2, the
A) alternative hypothesis should state P1 – P2 > 0
8.If two independent large samples are taken from two populations, the sampling distribution of the difference between the two sample means
A) can be approximated by a normal distribution
9.The sampling distribution for a goodness of fit test is the
A) chi-square distribution
10.In regression analysis, the unbiased estimate of the variance is
A) mean square error
11.Larger values of r2 imply that the observations are more closely grouped about the
A) least squares line
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