Who Wants to Be a Millionaire? SOCI 3303 SOCIAL STATISTICS

The General Social Survey asked respondents what region of the country they lived in at age 16. The level of measurement of this variable is a) nominal. b) ordinal. c) interval/ratio. d) none of the above. e) can't tell because there is not enough information.

Suppose that a researcher conducting a survey asks respondents their annual incomes using these values: $20,000 or less, $20,000 thru $60,000; $60,000 or more. A problem with this set of values is that a) they are measured at the nominal level. b) they are not continuous. c) they are population data. d) they are not collectively exhaustive. e) they are not mutually exclusive.

The median is less sensitive than the mean to a) the skewness of a variable. b) the sum of squares. c) dichotomous variables. d) all of the above. e) none of the above

Means can be greatly influenced by a) outliers. b) the sum of squares. c) interval/ratio variables. d) all of the above. e) none of the above.

Which of the following always produces the smallest sum of squares? a) the mode. b) the median. c) the mean. d) a symmetrical distribution. e) a bimodal distribution.

The number of standard deviations a score lies from the mean is a) the case’s Z-score. b) the case’s kurtosis. c) the standard error. d) the confidence interval. e) the sampling distribution.

The central limit theorem tells us that the larger the size of a sample, then: a) the smaller the variance. b) the smaller the standard error. c) the less the mean. d) the greater the standard score. e) the more skewed the variable.

The larger the percentage difference(s) across categories of the independent variable: a) the weaker the relationship between two variables. b) the stronger the relationship between two variables. c) the less likely the researcher is to commit an ecological fallacy. d) the more likely the relationship is positive. e) the more likely that the independent and dependent variables' marginals are different.

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For a given bivariate table, which of the following probabilities would be associated with the largest chi square? a).001 b).05 c).10 d) Depends on which variable is the independent variable e) None of the above

A researcher who concludes that a relationship is statistically significant: a) risks a Type II error. b) avoids a Type I error. c) concludes that the relationship is causal. d) rejects the null hypothesis. e) concludes that the relationship is substantively important.

If both the independent variables and dependent variable are dichotomous, then a) phi = V. b) Dyx = Dxy c) phi = lambda d) there are tied pairs. e) the relationship is symmetric

Even if the difference between means is large, a t test will not indicate statistically significant results if: a) the means are very small. b) the N is very small. c) the standard deviations are unequal. d) a one-tailed test is used. e) a confidence interval is used.

ANOVA with a dichotomous independent variable is equivalent to: a) a spot map c) a sum of squares. b) a t test for the difference between two means. d) a causal relationship. e) a statistically significant relationship.

If an F ratio is statistically significant, then we can be confident that: a) the variables are causally related. b) all the means are quite different from one another. c) the relationship is substantively important. d) all of the above. e) none of the above.

Consider this regression equation: Y = 3.21 – 6.57X. This equation tells us that: a) a one unit increase in X is associated with a 3.21 unit increase in Y. b) a one unit increase in X is associated with a 6.57 unit increase in Y. c) a one unit increase in Y is associated with a 3.21 unit decrease in X. d) a one unit increase in Y is associated with a 6.57 unit decrease in X. e) none of the above.

Suppose you do not know the answers to any prior questions and took blank guess all the way, the likelihood that you can get to this question is A)17 18 B)1/17 4 C)4 -20 D)(1/5) 15 E)(4 -1 ) 16