Level of significance for a one-tailed test

0.05

0.025

0.01

0.005

0.0025

Level of significance for a two-tailed test

0.10

0.05

0.025

0.01

0.005

0.900

1.000

0.829

0.886

0.943

1.000

0.714

0.786

0.893

0.929

0.964

0.643

0.738

0.833

0.881

0.905

0.600

0.700

0.783

0.833

0.867

0.564

0.648

0.745

0.794

0.830

Dr. Vance conducted a study investigating the correlation between daily screen time and self-reported stress levels using a sample of $N = 9$ undergraduate students. She predicted that there would be a correlation between these two variables (a non-directional hypothesis) and calculated a Spearman's rank correlation coefficient ( $r_s$ ) of 0.815.

Using the critical values table below, determine the lowest level of significance (the most stringent $p$ -value) Dr. Vance could use for her results to still be considered statistically significant.

Table 1: Critical values of Spearman's rank correlation coefficient ( $r_s$ )

N	Level of significance for a one-tailed test
	0.05	0.025	0.01	0.005	0.0025
	Level of significance for a two-tailed test
	0.10	0.05	0.025	0.01	0.005
5	0.900	1.000	1.000	1.000	1.000
6	0.829	0.886	0.943	1.000	1.000
7	0.714	0.786	0.893	0.929	0.964
8	0.643	0.738	0.833	0.881	0.905
9	0.600	0.700	0.783	0.833	0.867
10	0.564	0.648	0.745	0.794	0.830

Methods

Question 71

Table 1: Critical values of Spearman's rank correlation coefficient ( $r_s$ )

Methods

Question 71

Table 1: Critical values of Spearman's rank correlation coefficient ( $r_s$ )

Methods

Question 71

Table 1: Critical values of Spearman's rank correlation coefficient (rsr_srs​)

Methods Questions

Methods

Question 71

Table 1: Critical values of Spearman's rank correlation coefficient (rsr_srs​)

Methods Questions

Table 1: Critical values of Spearman's rank correlation coefficient ( $r_s$ )

Table 1: Critical values of Spearman's rank correlation coefficient ( $r_s$ )