Significance testing

Possible Answers

• The standard error quantifies the estimation uncertainty.
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• A t-statistic is useful to test whether the estimated parameter is sufficiently different from zero to conclude that the true parameter is different from zero.
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• The rule of thumb is to conclude for significance when the p-value is less than 5%.
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• A standard error can take any real value between minus and plus infinity.
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