AcaStat Statistical Software

AcaStat statistical software includes this Handbook, a search-and-expand statistics glossary, and an affordable  easy to use analytical tool.

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Contents  Introduction Descriptive Hypothesis Tables Appendix

Hypothesis Testing for Spearman Rho
Significance testing for inference to the population.


Data originated from a random sample

Data are ordinal

Both variables are distributed normally

Linear relationship and homoscedasticity

State the Hypothesis Null Hypothesis (Ho): There is no association between the two variables in the population.

where Ps (rho) is the correlation coefficient (rs) for the population

Alternative Hypothesis (Ha): There is an association between the two variables in the population.

Set the Rejection Criteria Determine the degrees of freedom n - 2

Determine the confidence level, alpha (1-tailed or 2-tailed)

Use the critical values from the t distribution

Note: The t distribution should only be used when the sample size is 10 or more (n > 10).

Compute the Test Statistic Convert  into

Step 4: Decide Results of Null Hypothesis Reject if the t-observed is equal to or greater than the critical value. The variables are/are not related in the population. In other words, the association displayed from the sample data can/cannot be inferred to the population. Calculations are identical to Hypothesis Testing for Pearson r