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1.A(n) ______ hypothesis is a hypothesis that stands in contrast to the null hypothesis. a.originalb.alternative c.truec.second 1.Univariate statistics explores a.two variables at a time.b.multiple variables

1.A(n) ______ hypothesis is a hypothesis that stands in contrast to the null hypothesis.

a.originalb.alternative

c.truec.second

1.Univariate statistics explores

a.two variables at a time.b.multiple variables

c.a range of variablesd.one variable at a time

3.A researcher intends to test the hypothesis that on-campus students do better in grade than commuter students. Which alternative hypothesis he/she would set up?

a.Two student groups are the sameb.Two groups are different.

c.On-campus students are betterd.none of the above

4.A Type I error involves _______ a null hypothesis when it is true

a.rejectingb.failing to reject

c.accepting the null hypothesisd.all of the above

5.The calculated test statistic of ANOVA is known as the ______ ratio

a.zb.t

c.Fd.all of the above

6.The within-group sum of squares is transformed into an estimate of the within-group variance by dividing the within-groups sum of squares by an appropriate number of ____

a.degrees of freedomb.cases

c.means squares d.none of the above

7.Another name for the within-groups estimate of variance is

a.between-group varianceb.within-group variance

c.mean square withind.total sum of squares

8.A non-parametric test is the preferred technique for a relationship between variables at

a.nominal levelb.interval/ratio level

c.parametric leveld.all of the above

9.The ______ frequency is the frequency that would be expected to occur in a particular cell, based on upon chance and the marginal distributions.

a.observedb.expected

c.calculatedd.critical

10.The chi-square test of independence compares ______ in the cells.

a.the meansb.the tail ends

c.frequenciesd.none of the above

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