What effect does increasing the sample size have on the probability? provide an explanation for this result. a. increasing the sample size decreases the probability because σx increases as n increases. b. increasing the sample size increases the probability because σx increases as n increases. c. increasing the sample size decreases the probability because σx decreases as n increases. d. increasing the sample size increases the probability because σx decreases as n increases.

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.

⊂⊃⊂⊃ω

step-by-step explanation:

i hope this : )

its 8

step-by-step explanation: