Table-II: Significant effects of confounding variable of Maternal Age on outcomes of (A) Blood loss (B) Pain, and (C) Need for surgical intervention as depicted by p-values of chi square
and exact tests.
As the Chi Square
value was found greater than the table value at 0.05, hence the statement was found significant and was accepted.
Table 3 presents a summary of the forms included in these two classes, that is, their 35 most representative forms, showing the frequency of each form in the class, its total frequency in the analyzed segments, the percentage of the form in the class, and the value of its chi square
of association, calculated from a table such as Table 1 (for each value, df= 1;N= 622, p < .001).
The table also shows that the chi square
value X2 pless than 0.05, df (1) = 0.29 is less than the corresponding critical value (3.84).
Variables and hypotheses determined in the research have been analyzed by chi square
Table 3, shows the Pearson Chi square
data of the association between age, gender, educational qualification and religion on the attitudes of the respondents towards SCD and SCD premarital counseling.
Sample size: 284 Degrees of Freedom: 5 Significance Level ([alpha]): 0.05 Critical [[chi square].sub.0.05,5] 11.07 (from tables) Table 8: Summary of Chi Square
statistics were calculated for the interaction and main effect estimates.
Over one third of Haitian clients (37 percent) waited more than 2 months or longer before beginning to receive services as opposed to 8 percent of Hispanic clients (Chi Square
10.346, p < .01).
This difference was statistically significant, Chi square
(1, N = 35) = 24.08, p = .02.
A Chi Square
analysis was not possible due to cell size restrictions.
Statistically significant chi square
(or difference of chi square
) statistics occur because of the large sample sizes.