Purchase Solution

Chi-Squared Contingency for Test Statistics

Not what you're looking for?

Ask Custom Question

In a chi-squared test of a contingency table, the value of the test statistic was =12.678, and the critical value at = 0.025 was 14.4494. Thus,
a. we fail to reject the null hypothesis at  = 0.025
b. we reject the null hypothesis at  = 0.025
c. we don't have enough evidence to accept or reject the null hypothesis at  = 0.025
d. we should decreased the level of significance in order to reject the null hypothesis

Attachments
Purchase this Solution
Solution Summary

The solution creates a chi square test for a contingency table. The solution determines if the null hypothesis should be rejected or accepted.

Solution Preview

Answer
a. we fail to reject the null hypothesis at Alpha = ...

Purchase this Solution
Free BrainMass Quizzes
Measures of Central Tendency

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

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

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.

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

View More Free Quizzes
Related BrainMass Solutions

  • Chi Square Distribution Differences

    A chi-squared test can be used in three cases - (i) Test of goodness of fit, (ii) Contingency table test to check whether two factors are dependent or independent of each other, and (iii) test of variance.

  • Chi squared for independence using SPSS

    To perform Chi squared test on SPSS we first need to go to Analyze, Descriptive statistics, Crosstabs. This is so that the data is divided into a contingency table for the analysis.

  • Discuss: The Chi-Square Test

    In this case, a contingency table is prepared and the Chi-squared statistic is used to reject or accept the null hypothesis. Hope that this helps! Thanks for using BrainMass.

  • Statistical Evidence of Discrimination Cases and Chi-Square

    = 5.169 (Chi-square is the sum of [(fo-fe) squared/fe]).

  • Chi-Square Test

    We're going to use the chi-squared test to test the null hypothesis that gender and smoking are unrelated (independent) against the alternative hypothesis that they are dependent somehow.

  • Relating Statistical Evidence - Chi-square Applications

    = 5.169 (Chi-square is the sum of [(fo-fe) squared/fe]).

  • Using Chi--Square Statistics

    You could not use parametric statistics due to the level of data being nominal. This is also called the 'chi-square test of association,' or the 'chi-squared test of independence.'

  • Chi-square statistics and contingency tables

    275443 Chi-square statistics and contingency tables a) Why do you use the chi-square statistic? b) What type of data is used with chi square analysis? c) What are the hypotheses in a chi-square test for independence?

  • Test of independence

    Two way chi-squared test No, you are correct. In fact, Contingency tables are used to examine the relationship between subjects' scores on two qualitative or categorical variables.

View More Related Solutions