Answer:
Step-by-step explanation:
In Statistitics whenever we test a hypothesis for testing a statistic, we use confidence interval.
Confidence interval is on either side of an assumed value a margin of error
Margin of error is calculated as critical value * sigma/sqrt of n
Thus we find that whenever n increases, margin of error decreases, thus making confidence interval narrower and thus making probability for accepting null hypothesis a less value.
Thus we find that option C is right.
C. Increasing the sample size decreases the probability because σx decreases as n increases.