The result of the chi-square statistics
in Table 6 shows that there is a significant difference ([X.sup.2] = 12.523, N =112, df =6, p = 0.051) in their ability to interpret, synthesize, and use information.
Table 4 presents the percentage of White and Black student-athletes that rated listed reasons as important for non-use of alcohol in the past year and Chi-square statistics
. Significantly more White than Black student-athletes rated I was worried about the negative effects on my athletic performance in practice, I was worried about the negative effects on my athletic performance in competition, drinking would have interfered with my school work, I was not old enough to drink legally, my coach would have disapproved, I was going to drive, and I did not like the way I act when drinking as important reasons for non-use of alcohol in the past year.
In the DIF analysis the program includes the following statistics: the Mantel-Haenszel chi-square statistic
, the Mantel-Haenszel common log-odds ratio, the standard error of the Mantel-Haenszel common log-odds ratio, the Mantel-Haenszel log-odds ratio divided by the estimated standard error, the Breslow-Day chi-square test of trend in odds ratio heterogeneity, the combined decision rule and the ETS categorisation scheme.
By using G statistic, an alternative of Pearson Chi-Square statistic
, (which test an association between two categorical variables), calving year-sex, calving season-sex, parity-sex and sire-sex associations were examined for these two state farms.
In assessable language they cover statistics, independent samples (or the student's t test) one way analysis of variance (ANOVA), factorial ANOVA, analysis of covariance, multivariate ANOVA, chi-square statistics
, simple bivariate correlation, multiple regression, factor analysis, advanced modeling techniques, and meta-analysis.
Cross-tabulations with Chi-square statistics
and blocked separate regression analyses were employed as analytical methods.
Because Pearson chi-square statistics
provide natural measures for the discrepancy between the observed data and a specific parametric model, they have also been used for discriminating among competing models.
Descriptive statistics such as averages and percentages as well as analysis of variance (ANOVA) and chi-square statistics
were used in data analysis.
The results of the three computed chi-square statistics
are given below.