Question
15. To accomplish a chi-squared test for independencein SPSS a.i need a large sample size b.if the p value is greater than .05my variables are
15.To accomplish a chi-squared test for independencein SPSS
a.i need a large sample size
b.if the p value is greater than .05my variables are significantly related
c.variables should be scaled
d.I use the cross tabs command
16.a researcher finds that the correlation between happiness and income (among people who are not below the poverty line) is r =.02,this means
a.none of the answers are correct
b.income leads to happiness,but only very slightly
c.happiness and income are not related
17.A researcher used a sample of n = 80 individuals to determine whether there are any preferences among four brands of yogurt.Each individual tastes allfourbrands and selects his/her favorite.If the data are evaluated with a chi-square test forgoodness of fitusing = .05, then how large does the chi-square statistic need to be to reject the nullhypothesis?
a.7.82
b.5.99
c.4
d.it cannot be determined from the provided information
18.if SP is 20, and SSx is 5 and SSyis 5
a.the pearsonr is .80
b.there must be a mistake
c.the pearsonr = 4
19.A chi-square test forgoodness of fitis used to examine the distribution of individuals across six categories, and a chi-square test forindependenceis used to examine the distribution of individuals in a 53 matrix of categories.Does one have more df than the other? If so, which test has thelarger valuefor df?
a.test for independence
b.they are equal
c.goodness of fit
d.there is no way to tell
- for a chi squared goodness of fittest I must have two variables that
a.are categorical
b.are scaled
c.each have 3or more categories
d.one variable has two categories and the other is scaled
21.I am conducting a chi squared test for independence to compare whether men and women are more likely to own dogs (yes/no).I have 20 people in each group.Theexpectedvalue for each group is
a.40
b.400
c.there is not enough information to tell
d.20
22.When the sample size for a chi squared test increases
a.sample size has no direct influence on the df for the chi squared
b.the dfget larger
c.it is easier to reject the null
d.the dfget smaller
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