In the equation for a confidence interval, the sample size is located in the denominator underneath the radical sign. what happens to the value of the expression under the radical sign as the sample size increases?

Step-by-step explanation:

Given that in the equation for a confidence interval, the sample size is located in the denominator underneath the radical sign.

In hypothesis testing we have

Confidence interval = Mean ±Margin of error

= Mean±Z critical*std dev/sqrt n

Thus we find that whenever n increases, sqrt of n increases,  margin of error decreases and as a result we find that whenever sample size increases then sqrt n also increases which in turn reduces the wirth of confidence interval.

answer: the price of one pound cabbage = $ 0.8

the point (10,8) represents that the cost of 10 pounds cabbage is $ 8

step-by-step explanation:

since, here is a proportional relation between the number of pounds of cabbage (x) and the price in dollars (y).

therefore, we can write,

⇒ y = k x

where k is the constant of proportionality.

now, point (5,4) is in the line.

thus, it will satisfies the above equation of line.

⇒ 4 = 5 k

⇒ k = 0.8

thus, the equation of the line is,

y = 0.8 x

a) for x = 1,

y = 0.8

therefore, the cost of one pound of cabbage is 0.8 dollars.

b) in the below graph (10,8) represents that the cost of 10 pounds of cabbage is 8 dollars.

50- 250 is correct i did that one too

step-by-step explanation: