Spearman's Rank

Front

What is Spearman's Rank Correlation Coefficient?

Back

A non-parametric measure of rank correlation that assesses how well the relationship between two variables can be described using a monotonic function.

Front

How is Spearman's Rank Correlation Coefficient calculated?

Back

By ranking the data points for each variable, calculating the difference between the ranks, and applying the formula: \( r_s = 1 - \frac{6 \sum d_i^2}{n(n^2 - 1)} \) where \( d_i \) is the difference between ranks and \( n \) is the number of pairs.

Front

What does a Spearman's rank correlation coefficient of -0.714 indicate?

Back

A strong negative correlation between the two variables being analyzed.

Front

What does a Spearman's rank correlation coefficient of 0.707 indicate?

Back

A strong positive correlation between the two variables being analyzed.

Front

What is the significance level in hypothesis testing?

Back

The probability of rejecting the null hypothesis when it is true, commonly set at 0.05.

Front

What does it mean if a correlation is 'not significant' at the 0.05 level?

Back

It indicates that there is not enough evidence to conclude that a relationship exists between the two variables.

Front

What is the range of Spearman's rank correlation coefficient?

Back

The range is from -1 to +1, where -1 indicates a perfect negative correlation, 0 indicates no correlation, and +1 indicates a perfect positive correlation.

Front

How do you interpret a Spearman's rank correlation coefficient of -0.596?

Back

It indicates a moderate negative correlation between the two variables.

Front

What is the formula for calculating the difference in ranks (d_i)?

Back

\( d_i = R_x - R_y \) where \( R_x \) and \( R_y \) are the ranks of the two variables.

Front

What is the null hypothesis in the context of Spearman's rank correlation?

Back

The null hypothesis states that there is no correlation between the two variables.