Hypothesis Test Conclusion and Significance Level
In an experiment testing union support for a strike, a hypothesis test yields a p-value of 0.0816 using a 5% significance level, leading to a failure to reject the null hypothesis. What would happen if the significance level were instead set at 10%?
The null hypothesis would still not be rejected since the p-value is above the conventional thresholds.
The null hypothesis would be rejected because the p-value of 0.0816 is below 10%, thereby increasing the risk of a Type I error compared to a 5% level.
The test would yield a lower p-value if the significance level is increased, altering the decision process.
There would be no change in the decision because the p-value is fixed regardless of the significance level chosen.
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