We know that narrower confidence intervals give us a more precise estimate of the true population proportion. which of the following could we do to produce higher precision in our estimates of the population proportion?
a. we can select a lower confidence level and increase the sample size.
b. we can select a higher confidence level and decrease the sample size.
c. we can select a higher confidence level and increase the sample size.
d. we can select a lower confidence level and decrease the sample size.

A. We can select a lower confidence level and increase the sample size.

Step-by-step explanation:

The length of a confidence interval is:

Direct proportional to the confidence interval. This means that the higher the confidence level, the higher the length of the interval is.

Inverse proportional to the size of the sample.This means that the higher the size of the sample, the lower, or narrower, the length of the interval is.

Which of the following could we do to produce higher precision in our estimates of the population proportion?

We want a narrower interval. So the correct answer is:

A. We can select a lower confidence level and increase the sample size.

idk bring the function back   im not smart

step-by-step explanation:

option 2 is correct.

step-by-step explanation:

we are given two inequality equation

x+y> 5 and -3x+2y< -2

first we draw the graph of both function using t-table method

equation: x+y> 5

for x=0, y=5

for x=-5, y=0

table:

x   :   0     5

y   :   5     0

test point (0,0) , 0> 5

false

equation: -3x+2y< -2

for x=0, y=-1

for x=2, y=4

table:

x   :   0     2

y   : -1       4

test point (0,0) , 0< -2

true

now we draw the graph. see the attachment for graph.

common region would be solution set.

option 2 is correct.