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.

answer: the value should be used for i in the formula of calculation the monthly payment , the interest rate per period is 0.85.

step-by-step explanation:

the given rate of interest i= 85%

in calculating the monthly payment for a loan with an interest rate compounded monthly, the value of the interest rate per period we use in the formula must be in decimal form.

to convert it in decimal, we divide it by 100, we get

hence, the value should be used for i in the formula of calculation the monthly payment , the interest rate per period is 0.85.