In what situation would you use a z-test rather than a t-test?

1.In what situation would you use a z-test rather than a t-test?

a.If the Central Limit Theorem does not apply, a t-test is appropriate.

b.If the Central Limit Theorem applies, a z-test is appropriate.

c.If the Central Limit Theorem applies, either test is appropriate.

d.If the Central Limit Theorem does not apply, a z-test is appropriate.

2.Which statement is correct regarding the Central Limit Theorem and hypothesis testing?

a.If H1: 100, the alternative hypothesis is nondirectional and the rejection region is one-tailed.

b.If H1: > 100, the alternative hypothesis is directional and the rejection region is one-tailed.

c.If H1: 100, the alternative hypothesis is directional and the rejection region is two-tailed.

d.If H1: > 100, the alternative hypothesis is nondirectional and the rejection region is two-tailed.

3.How is regression variance measured?

a.Regression variance is based on the sum of squares total of the mean residuals.

b.Regression variance is based on differences between predicated data points and the mean of y.

c.Regression variance is based on the mean squared, and is equal to the sum of the squared deviations.

d.Regression variance is based on the source of the variation, the residual, and the sample size.

4.How is conditional probability expressed?

a.p(A/B*2)

b.p(A|B)

c.p(A*B)

d.p(x|y|z)

5.How do you convert sample variance to chi-square?

a.N + 1, times S2, divided by the null hypothesized value of the variants

b.N + 1, times S2, multiplied by the null hypothesized value of the variants

c.N 1, times S2, divided by the null hypothesized value of the variants

d.N 1, times S2, multiplied by the null hypothesized value of the variants

6.Your data is in the range C1 through 34. In Excel, how will you calculate the median for this data?

a.MEDIAN(C1*C34)

b.MEDIAN_FUNC(C1:C34)

c.MED(C1:C34)

d.MEDIAN(C1:C34)

7.At a 95-percent confidence level, what should be the cutoffs from the left and right sides of a normal distribution?

a..95 from both the right tail and the left tail

b..025 from both the right tail and the left tail

c..25 from both the right tail and the left tail

d..50 from both the right tail and the left tail

8.You are interested in examining the effect of running ads on sales in your department. Which item would be an independent variable?

a.sales by salesperson per month

b.total sales per week

c.ads run per month

d.total dollar sales per month

9.How would you most accurately define a statistical interaction?

a.The combined levels of one factor affect the combined levels of another factor in a predictable way.

b.Different levels of one factor affect the different levels of another factor in the same way.

c.The combined levels of one factor affect the different levels of another factor in different ways.

d.Different levels of one factor affect the different levels of another factor in different ways.

10.The variability around a regression line, which determines the fit of a regression line, can be calculated in Excel. Which function does Excel use for this residual variance?

a.REGLINE

b.SQRESVID

c.STEYX

d.RESVID

11.In the expression p(A U B), what are you calculating?

a.(# outcomes in A) + (# of outcomes in B) + (# of outcomes in A B) x Number of Elementary Outcomes in the sample space.

b.(# outcomes in A) + (# of outcomes in B) - (# of outcomes in A B) x Number of Elementary Outcomes in the sample space.

c.(# outcomes in A) + (# of outcomes in B) + (# of outcomes in A B) / Number of Elementary Outcomes in the sample space.

d.(# outcomes in A) + (# of outcomes in B) - (# of outcomes in A B) / Number of Elementary Outcomes in the sample space.

12.In hypothesis testing, what is the reasoning process?

a.formulating H0 and H1, gathering data, then deciding whether or not to reject H0

b.gathering data, formulating H0 and H1, gathering data, then deciding whether or not to accept H1

c.gathering data, formulating H0 and H1, then deciding whether or not to reject H1

d.formulating H0 and H1, gathering data, then deciding whether or not to accept H0

13.What does it mean that a regression line is the "line of best fit" through a scatterplot?

a.It is the line that best summarizes the relationship between the independent and dependent variable.

b.It represents the best fit of dependent variables displayed on a scatterplot.

c.It represents the best fit of independent variables displayed on a scatterplot.

d.It is a line that can summarize the means in an independent variable and a dependent variable.

14.You run a t-test Two Sample Assuming Equal Variances in Excel. Which statistic displays the area cutoff by the combined negative and positive values of the T?

a.P[T=t] one-tail

b.pooled variance

c.P[T=t] two-tail

d.t-stat

15.You have data from a dozen individuals who comprise a population. Which character(s) used in calculating variance indicates you are working with a population?

a.s2

b.

c.N

d.2

16.How can you use Excel to find the area under the standard normal distribution between two z-scores?

a.Use the function=TRUE.DIST.

b.Use the function=Z.DIST.UNDER.

c.Use the function=NORM.S.DIST.

d.Use the function=NORM.Z.DIST.

17.When you start running statistical functions, what will you find out about the Excel statistical functions?

a.Excel's statistical functions will always guess which function you want for a particular range of data.

b.Excel's statistical functions appear at the first level of its available functions when you to go the Formulas tab.

c.Excel's statistical functions are not at the first level of its available functions when you go to the Formulas tab.

d.Excel's statistical functions are unable to correctly guess which function you want for a particular range of data.

18.How can a matched sample provide better results than an independent sample?

a.A matched sample eliminates potential fatigue effects.

b.A matched sample reduces the number of people required for a study.

c.A matched sample is not concerned with equivalence.

d.A matched sample reduces potential practice effects.

19.How are data sets represented in frequency polygon graphs?

a.The data sets represent the frequency distribution in the form of curves.

b.The data sets use lines to join the midpoints of each interval with the heights of the points that represent frequencies.

c.The data sets in frequency polygon graphs are timelines that represent various statistical record values.

d.The data sets in frequency polygons show cumulative frequency distribution outcomes.

20.How are members of a family of distributions F distinguished?

a.by df for each variance estimate

b.by df for the combined variance estimate

c.by df2 for the combined variance estimate

d.by df2 for each variance estimate

21.Why does a post-ANOVA planned comparison use a pooled estimate of more groups than the number of groups whose means you are comparing?

a.The more information you have, the fewer degrees of freedom you have, and the more power you have to reject the null hypothesis.

b.The more information you have, the more degrees of freedom you have, and the more power you have to reject the null hypothesis.

c.The more information you have, the more degrees of freedom you have, and the more power you have to accept the null hypothesis.

d.The more information you have, the fewer degrees of freedom you have, and the more power you have to accept the null hypothesis.

22.What is the determining parameter for a t-distribution?

a.

b.X-bar

c.df

d.t-score

23.What are the two factors examined in an Excel repeated measures ANOVA?

a.independent variables 1 and 2

b.independent variable and dependent variable

c.treatments and independent variable

d.people and treatments

24.When working with repeated measures, what does MSA measure?

a.the mean square among persons

b.the mean square error

c.the mean square total

d.the mean square among treatments