What is p-value in cross tabulation?
What is p-value in cross tabulation?
The one to pay attention to is the p-value. Just compare this p-value to your alpha-level, which is commonly 0.05. If the p-value is less than or equal to alpha, the variables are associated. If the p-value is greater than alpha, you can conclude that they’re independent.
How do you know if a crosstab is statistically significant?
Crosstabulation is a statistical technique used to display a breakdown of the data by these two variables (that is, it is a table that has displays the frequency of different majors broken down by gender). The Pearson chi-square test essentially tells us whether the results of a crosstab are statistically significant.
What is the null hypothesis for a cross tabulation?
For a 2×2 table, the null hypothesis may equivalently be written in terms of the probabilities themselves, or the risk difference, the relative risk, or the odds ratio. In each case, the null hypothesis states that there is no difference between the two groups.
How do you interpret Chi-Square crosstabs in SPSS?
Quick Steps
- Click on Analyze -> Descriptive Statistics -> Crosstabs.
- Drag and drop (at least) one variable into the Row(s) box, and (at least) one into the Column(s) box.
- Click on Statistics, and select Chi-square.
- Press Continue, and then OK to do the chi square test.
- The result will appear in the SPSS output viewer.
Where is the p-value on a chi square SPSS?
The chi square statistic appears in the Value column of the Chi-Square Tests table immediately to the right of “Pearson Chi-Square”. In this example, the value of the chi square statistic is 6.718. The p-value appears in the same row in the “Asymptotic Significance (2-sided)” column (. 010).
What is the null hypothesis for a Chi-Square test?
The null hypothesis of the Chi-Square test is that no relationship exists on the categorical variables in the population; they are independent.
