The researchers in a social influence study on bystander intervention decided to carry out a chi-squared test on their data from Table 1. They found an observed/calculated value of 2.10 for a one-tailed (directional) test at the 5% level of significance when $df = 1$ .

Table 1: Participant responses in high and low social density conditions

Condition	Reported the emergency	Did not report the emergency
High Social Density (N = 30)	12	18
Low Social Density (N = 30)	18	12

Table 2: Critical values for the chi-squared distribution

Level of significance for a one-tailed test	0.10	0.05	0.025	0.01	0.005
Level of significance for a two-tailed test	0.20	0.10	0.05	0.02	0.01
df = 1	1.64	2.71	3.84	5.41	6.64

Table 1: Participant responses in high and low social density conditions

Condition	Reported the emergency	Did not report the emergency
High Social Density (N = 30)	12	18
Low Social Density (N = 30)	18	12

Table 2: Critical values for the chi-squared distribution

Level of significance for a one-tailed test	0.10	0.05	0.025	0.01	0.005
Level of significance for a two-tailed test	0.20	0.10	0.05	0.02	0.01
df = 1	1.64	2.71	3.84	5.41	6.64

Methods

Question 29

Table 1: Participant responses in high and low social density conditions

Table 2: Critical values for the chi-squared distribution

Methods

Question 29

Table 1: Participant responses in high and low social density conditions

Table 2: Critical values for the chi-squared distribution

Methods

Question 29

Table 1: Participant responses in high and low social density conditions

Table 2: Critical values for the chi-squared distribution

Methods Questions

Methods

Question 29

Table 1: Participant responses in high and low social density conditions

Table 2: Critical values for the chi-squared distribution

Methods Questions