Based on a critical value of 21.026, we would fail to reject the null hypothesis because it's greater than the absolute value of the test statistic (10.600).
A critical value can be defined as a measurement which is used to calculate the margin of error that exists in a data set. Mathematically, it is expressed as follows:
Critical value (p*) = 1 - (α/2)
Critical value (p*) = 1 - (0.05/2)
Critical value (p*) = 1 - 0.025
Critical value (p*) = 0.975.
Also, the degrees of freedom (df) is given by:
Degrees of freedom (df) = n - 1
Degrees of freedom (df) = 13 - 1
Degrees of freedom (df) = 12.
From the Chi-square distribution table, a critical value at t₀.₀₅, ₁₂ = 21.026.
Note: If the critical value (21.026) is lesser than the absolute value of the test statistic (10.600), then we would reject the null hypothesis.
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