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What particular measure of correlation would be most appropriate for use with two variables measured at an ordinal level?
Chi Square
Which conditions must be met to conduct a test for the difference in two sample means?
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.
Is there a statistical test to assess the difference between two ratios. I have numbers which are ratios and want to test whether there is a statistical difference between them?
You can use the z test for two proportions. The link below will do this test for you.
Difference between chi square and Anova?
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.
What does a line graph related to?
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.
What is the name of the test that is used to assess the relationship between two ordinal variables?
spearman's rho
Quantitative variables can be separated into what two types?
nominal and ordinal is wrong; those are the two types of qualitative variables. Ratio and interval are the two types of quantitative variables.
What particular measure of correlation would be most appropriate for use with two variables measured at an ordinal?
Chi Square
What particular measure of correlation would be most appropriate for use with two variables measured at an ordinal level?
Chi Square
What statistical test is used when considering the correlation relationship between two variables?
The Pearson correlation coefficient is commonly used to assess the linear relationship between two continuous variables. If the data does not meet the assumptions of normality, the Spearman rank correlation can be utilized as a non-parametric alternative. Both tests provide insights into the strength and direction of the correlation between the variables.
How do you determine if variances are similar?
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.
When an inference procedure is done involving a comparison of two quantitative variables how is the choice between using a two-sample t test or a one-sample matched-pairs test determined?
A matched test is appropriate only if the two variables are measures taken for the same subject.
Which conditions must be met to conduct a test for the difference in two sample means?
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.
What is the definition of chisquare?
Chi-square is a statistic used to assess the degree of the relationship and degree of association between two nominal variables
What is the ability to neutralize the effect of one variable in order to assess the relationship between two other variables?
makeing the correlation spurious
Is there a statistical test to assess the difference between two ratios. I have numbers which are ratios and want to test whether there is a statistical difference between them?
You can use the z test for two proportions. The link below will do this test for you.
When to use Spearman Rho?
Spearman's Rho is used when you want to assess the strength and direction of a monotonic relationship between two variables that may not necessarily be normally distributed. It is particularly useful for ordinal data or when the assumptions of parametric tests, like Pearson's correlation, are violated. Additionally, it is appropriate when dealing with small sample sizes or when the data contains outliers, as it is less sensitive to these issues.
