SOLVED

11) What is the name of the analysis that determines whether the two categorical variables in a cross-tabulation table have a significant relationship? A) cross-tabulation testing B) observed-expected testing C) degrees of freedom analysis D) chi-square analysis E) covariation 12) A cross-tabulation table is sometimes referred to as a: A) tabular table B) display table C) frequency table D) cross-reference table E) values table 13) The intersection of a row and column in a cross-tabulation table is called a: A) cross-tabulation cell. B) Boolean box. C) chi-square. D) cross-cell interaction. E) stacked box. 14) The chi-square test is useful for determining: A) whether a significant relationship exists between two categorical variables. B) whether a significant relationship exists between two metric variables. C) whether a insignificant relationship exists between two metric variables. D) whether an observed relationship exists between two categorical variables. E) whether a significant relationship exists between two or more categorical variables. 15) Which of the following is NOT a number that can be found in each cross-classification table cell? A) frequency B) raw percentage C) column percentage D) overall percentage E) row percentage 16) The logic of the chi-square test would argue that, for a significant relationship to exist: A) there should be large differences between the observed and expected frequencies. B) there should be small differences between the observed and expected frequencies. C) there should be no differences between the observed and expected frequencies. D) there should be strong similarities between the observed and expected frequencies. E) there should be only one difference between the observed and expected frequencies. 17) In chi-square analysis, the greater the number of cells, the larger the degrees of freedom. The greater the number of cells, the more opportunity exists to calculate a large chi-square value. In other words, the chi-square value can be “inflated” not due to a real association but simply due to the fact that there are more cells in the analysis. This is why degrees of freedom are used to: A) determine how many cells you should analyze. B) determine whether or not the computed chi-square value should be used for a post hoc test. C) determine whether or not the chi-square value has a probability high enough to support, or not support, the null hypothesis. D) lower the chi-square value in terms of its level of importance. E) calculate expected values. 18) When the calculated chi-square value exceeds the critical chi-square table value: A) a significant relationship does not exist between the two variables under analysis. B) there is a significant relationship between the three or more variables under analysis. C) the degrees of freedom were not taken into account. D) there is a positive directional relationship between the two variables under analysis. E) there is a significant relationship between the two variables under analysis. 19) In order to run a chi-square test using XL Data Analyst, the proper command sequence is: A) “chi-square,” select a column variable, select a row variable, and “OK” B) “chi-square,” select a column variable, select a row variable, enter degrees of freedom, and “OK” C) “Relate,” “Crosstabs,” select a column variab D) “Relate,””Crosstabs,” select a column variable, select a row variable, and “OK” E) “crosstabs,” “chi-square,” select two variables, and “OK”le, select a row variable, enter degrees of freedom, and “OK” 20) When the XL Data Analyst finds a significant cross-tabulation relationship, it will: A) provide the column percents table or the row percents table; depending on the relationship. B) prompt the user to see if they would like to request visual representation in the form of column or row tables. column percent or row percent tables. D) provide a statement that the null hypothesis is supported. C) prompt the user to see if they would like to request visual representation in the form of E) provide the column percents table and the row percents table; these are valuable in revealing underlying relationships.