Chi Square
You can use the z test for two proportions. The link below will do this test for you.
The two samples must be independent and the data must be at least ordinal. Under those conditions the Mann-Whitney U test can be used.
ANOVA is a statistical test of whether the means of several groups are all equal. The chi-square test of association is used to test the null hypothesis that there is no association between two nominal scale variables. It does not require a distinction between independent and dependent variables.
It is related to the two variables that are plotted in the line graph.It is related to the two variables that are plotted in the line graph.It is related to the two variables that are plotted in the line graph.It is related to the two variables that are plotted in the line graph.
spearman's rho
nominal and ordinal is wrong; those are the two types of qualitative variables. Ratio and interval are the two types of quantitative variables.
Chi Square
Chi Square
If the two distributions can be assumed to follow Gaussian (Normal) distributions then Fisher's F-test is the most powerful test. If the data are at least ordinal, then you can use the Kolmogorov-Smirnov two-sample test.
makeing the correlation spurious
Chi-square is a statistic used to assess the degree of the relationship and degree of association between two nominal variables
A matched test is appropriate only if the two variables are measures taken for the same subject.
You can use the z test for two proportions. The link below will do this test for you.
The two samples must be independent and the data must be at least ordinal. Under those conditions the Mann-Whitney U test can be used.
A scatter plot is a graphical technique commonly used to display correlations between two variables. It allows you to visually observe the relationship between the variables and assess the strength and direction of the correlation.
The ordinal word form for 2898 is: two thousand eight hundred ninety-eighth