It is required to increase the number of voters he will sample and increase the significance level in order to reduce the Type II error.
A type II error, also known as false-negative, is an error that occurs when the experimenter fails to reject a false null hypothesis.
A type II error can be drastically reduced by using more rigorous criteria, thereby increasing the power of the testing procedure.
It is also possible to reduce Type II errors by increasing the significance level used in the testing procedure.
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