Answer:
7.815
Step-by-step explanation:
Data provided:
Total sample size, n = 60
Total number of choices of brands = 4
Probability of exceeding the critical value, α = 0.05
Now,
The critical value of [tex]\chi_{0.05,df}^{2}[/tex]
here,
degree of freedom, df = 4 - 1 = 3
Thus,
[tex]\chi_{0.05,3}^{2}[/tex]
from the critical value of Chi square table
the value of [tex]\chi_{0.05,3}^{2}[/tex] = 7.815
Hence,
To reject null hypothesis, chi - square test statistic should be greater than 7.815