Purchase Solution

Categorical data analysis :Yule Q

Not what you're looking for?

Ask Custom Question

1. In several presidential elections, researchers' have observed a "gender gap" in which men and women vote for candidates in different proportions. Test this hypothesis by calculating X2 and Yule's Q for these frequencies from the 1998 General Social Survey:

Vote by Gender
Did You Vote for
Clinton or Dole? Men Women

Clinton 251 572
Dole 283 306

2. The 1998 GSS states, "There are always some people whose ideas are considered bad or dangerous by other people. For instance, somebody who is against all churches and religion...If such a person wanted to make a speech in your (city/town/community) against churches and religion, should he/she be allowed to speak, or not?" Among the male GSS respondents, 631 said they would allow the speech and 154 would not allow it. Among the female respondents, 762 would allow and 303 would not allow the speech. What are the conditional odds in favor of allowing an atheist to speak, and what is the odds ratio?

Attachments
Purchase this Solution
Solution Summary

The solution provides step by step method for the calculation of Yule Q statistic for categorical data analysis . Formula for the calculation and Interpretations of the results are also included.

Purchase this Solution
Free BrainMass Quizzes
Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

Know Your Statistical Concepts

Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.

Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

View More Free Quizzes
Related BrainMass Solutions

  • Introduction to Categorical Data

    Analysis of categorical data usually requires the use of chart or data table. Chart The Chart 1 is a pie chart, showing the time component (i.e. browsers or Apps) U.S. consumer spends on smartphones and tablets.

  • Data Analysis and Computation for Categorical Variables

    414961 Data analysis Descriptive statistics, which is where we'll start our exercises, means just that -- they are a set of indicators used to describe our data as we have it in hand.

  • Why would you use the chi-square statistic?

    Type of data? Provide an explanation of a chi-square test. Why would you use the chi-square statistic? What type of data is used with chi square analysis?

  • Writing Propositions & Identifying the Parts

    Two true categorical propositions are analyzed.

  • Analysis of Chi-squared and logistic Regression Tests

    Hazardous and non hazardous drinkers are the one categorical data and various demographic characteristics (one demographic characteristic each time) formed the second categorical variable.

  • Anova

    ANOVA is one of the most important steps in regression analysis. The conditions for using ANOVA are 1. The dependent variable is interval or ratio and the independent variable can be categorical, interval or ratio (generally categorical).

  • Chi squared for independence using SPSS

    I just want to be sure that my fictitious data is sufficient to do a study properly. I need help in setting it up so that I can perform the analysis. a measure of central tendency, dispersion I think I can do.

  • Two Sample F Tests

    data: Useful with survey data, mix model, regression analysis, power and sample size computations for stratified categorical data help get accurate estimation of significance levels and meaningful findings based on the analyzed data for such studies

  • Dummy Variables Required

    *Layout the selected data for regression by adding a dummy variable for Category and a variable for the interaction of variables Category and X. *Perform multiple regression analysis of Y on X, the dummy variable, and the interaction variable.

View More Related Solutions