What do chi square results mean?

What do chi square results mean?

The chi-square statistic compares the size any discrepancies between the expected results and the actual results, given the size of the sample and the number of variables in the relationship.

What are the assumptions of a chi-square test?

The assumptions of the Chi-square include: The data in the cells should be frequencies, or counts of cases rather than percentages or some other transformation of the data. The levels (or categories) of the variables are mutually exclusive.১৫ জুন, ২০১৩

What is chi-square p-value?

The P-value is the probability that a chi-square statistic having 2 degrees of freedom is more extreme than 19.58. We use the Chi-Square Distribution Calculator to find P(Χ2 > 19.58) = 0.0001. Interpret results. Since the P-value (0.0001) is less than the significance level (0.05), we cannot accept the null hypothesis.

How do you interpret t-test results in SPSS?

Doing the T-Test Procedure in SPSS To interpret the t-test results, all you need to find on the output is the p-value for the test. To do an hypothesis test at a specific alpha (significance) level, just compare the p-value on the output (labeled as a “Sig.” value on the SPSS output) to the chosen alpha level.

How do you interpret paired t-test results in SPSS?

SPSS reports the mean and standard deviation of the difference scores for each pair of variables. The mean is the difference between the sample means. It should be close to zero if the populations means are equal. The mean difference between exams 1 and 2 is not statistically significant at α = 0.05.

How do you interpret Anova in SPSS?

One Way ANOVA in SPSS Including Interpretation

1. Click on Analyze -> Compare Means -> One-Way ANOVA.
2. Drag and drop your independent variable into the Factor box and dependent variable into the Dependent List box.
3. Click on Post Hoc, select Tukey, and press Continue.
4. Click on Options, select Homogeneity of variance test, and press Continue.

How do you report a significant Levene’s test?

If Levene’s test for equality of variances is significant, report the statistics for the row equal variances not assumed with the altered degrees of freedom rounded to the nearest whole number.