12. what is the effect when the sample size is
increased?
a) confidence interval decreases, error decreases
b) confidence interval decreases, error increases
c) confidence interval increases, error increases
d) confidence interval increases, error decreases
e) no effect

Confidence interval decreases, error decreases

Option: a

Explanation:

Increasing of sample size will decrease the width of the confidence intervals because it also decreases the standard error of the interval. So whenever the 'sample size' is increases then the 'confidence interval' decreases as well as the 'error' decreases.

Confidence interval gives us the unknown average population or percentage of the population. This gives us just how much the average rate is varying. Confidence interval gives the location as well as the precision of a measure. The smaller sample sizes gives more wider intervals.

1. d.90

2. e. none of these (80)

3. a. 0

4. b. 6

5. e. none of these (10)

6. a. 5

step-by-step explanation:

i think something is missing in your question because y-1=(x-12) would not pass through the point (-4,-3). because if you replace x by -4 your are supposed to find y=-3 which is not the case her. if you replace x by -4 you find =-15.

i assume the right equation is y-1=1/4*(x-12) because this one is passing through both your points (if you are interested to know how i found that out i can tell you).

in this equation if i replace x by -4 i find y=-3 and if i replace x by 12, i find y=1 so the line representing this equation is passing through those 2 points.

then the standard form of the equation is finding an expression of y in function of x

y-1=1/4*(x-12)

y=x/4-3+1

y=x/4-2

hope that .

do you confirm there was a mistake in the question?