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kaplan mt355 unit 8 quiz




Question;To determine the degree to which the variables in a;cross-tabulation analysis are independent of one another, a researcher should;use;cross tabulation variable independence test.;Pearson chi-square test of independence.;regression analysis.;Cramer's V.;Kendall's coefficient of concordance.;Question 2. Question;Given a cross tabulation between years of education and;income, we would compute percentages in the direction of years of education;because;the probability that given X income you will;have Y years of education makes sense.;the probability that given X years of;education you will have Y income makes sense.;It doesn't matter which way you do it.;Both a and b.;None of the above.;Question 3. Question;The purpose of the coding process is;to transform raw data into symbols.;encrypt the raw data so that it is secure from;unauthorized use.;determine if the raw data meets minimum;quality standards.;detect incorrect or invalid responses.;separate completed questionnaires from;incomplete ones.;Question 4. Question;Which of the following is FALSE about cross tabulations?;Cross tabulations work equally well with;continuous measures that have been recast as categorical measures.;Cross tabulations are used for studying the;relationships between two (or more) categorical variables.;Recasting continuous measures into categories;may result in lowered statistical power.;Cross tabulation seeks to investigate the;influence of the independent variable on the dependent variable.;Recasting continuous measures into categories;almost never results in the loss of information.;Question 5. Question;When performing cross tabulations, percentages are always;calculated in the direction of the;dependent variable.;independent variable.;causal variable.;Both a and b.;Both b and c.;17 Which of the assumptions listed below are necessary in;order for the coefficients in a partial regression equation to be interpreted;as the average change in the criterion variable associated with a unit change;in the appropriate predictor variable holding other predictor variables;constant?;a. The predictor variables must be correlated.;b. The variance among predictor variables must be equal.;c. The criterion variable must be normally distributed.;*d. The predictor variables must be uncorrelated.;e. None of the above are necessary assumptions.;Points Received: 3 of 3;Question 6. Question;The following categories of ages are ____ and ____, but not;18-24;25-34;35-44;45-54;55 and over;closed-ended, exhaustive, mutually exhaustive;open-ended, mutually exclusive, exhaustive;closed-ended, mutually exclusive, exhaustive;exhaustive, mutually exclusive, open-ended;None of the above.;Question 7. Question;In ANOVA, the independent variables are typically called;treatments.;factors.;F-statistics.;causal variables.;tabulations.;Question 8. Question;Which;Use as many columns as necessary for the;field.;Locate only one character in each column.;Use alphabetic codes if possible.;Use consistent codes for similar types of;responses.;Code in an identification number for each;questionnaire.;Question 9. Question;In most multivariate analyses, the goal is to see whether;one _________ variable has an influence on another __________ variable.;independent, predictor;predictor, outcome;independent, outcome;outcome, dependent;Both b and c.;Question 10. Question;The editing process involves;the inspection of the data received from each sample element.;the correction of the data received from each sample;element.;the transformation of the raw data received;from each sample element into symbols.;All of the above.;Both a and b.;Po


Paper#46791 | Written in 18-Jul-2015

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