Table 1 presents the percentage of Male and Female student-athletes that rated listed reasons as important for use of alcohol in the past year and

Chi-square statistics.

Applying a Breusch-Pagan test to the model in Equation 3 yields a

chi-square statistic of 1035; the .

A comparison of the response rates of Marlboro and Newport smokers yielded a

chi-square statistic of 10.

The percentages of users and nonusers indicating each of the four problems are given in Table 5, along with

chi-square statistics for significant differences between users and nonusers.

The Wald

Chi-square statistic that the coefficients are equal and of opposite sign is 4.

The

chi-square statistic was at its minimum and the p-value was non-significant.

The value taken by the

chi-square statistic also reflects that the models (1.

The last two columns of Tables 2 present the

Chi-Square statistic and the P-value for each of the categories to test for a significant difference in the four performance categories.

In performing the current analyses, six statistics reflecting fit were reported: the chi-square test statistic; the ratio of

chi-square statistic to degrees of freedom; the root mean square error of approximation; the Tucker Lewis Index, also known as the Non Normed Fit Index; Weighted Root Mean Square Residual; and the Comparative Fit Index as appropriate.

Traditionally the

chi-square statistic was used to assess the overall fit of the data to the postulated models.

The

chi-square statistic is simply the sum of the last column in the table given in Step 2, or 2 [(Obs-Exp).

The MH common odds ratio was calculated along with the MH

chi-square statistic for each person.