In: Statistics and Probability
A researcher wants to ensure the reliability of their EEG set. To do so, they measured impedance in 32 electrodes and found a variance of 62.2 microsiemens. Does this researcher have reason to believe at alpha = 0.05 that the impedance in their electrode set has a variance different than 50 microsiemens?
Data:
n = 32
σ^2 = 50
s^2 = 62.2
Hypotheses:
Ho: σ^2 = 50
Ha: σ^2 ≠ 50
Decision Rule:
Degrees of freedom = n - 1 = 32 - 1 = 31
α = 0.05
Left critical value = 17.53873879
Right critical value = 48.23188958
Reject Ho if the test χ2 value < 17.53873879 or > 48.23188958
Test Statistic:
χ2 = (n - 1) s^2 / σ ^2 = (32 - 1) * 62.2 / 50 = 38.564
Decision (in terms of the hypotheses):
Since 17.53873879 < 38.564 < 48.23188958 we do not reject Ho
Conclusion (in terms of the problem):
There is no sufficient evidence that the population variance is different from 50 microsiemens.
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