Assuming the conditions are met, if the 95% confidence interval for p was calculated to be (0.604, 0.781), what is the correct interpretation for this interval?

95% certain that true proportion of population "p" is contained in (0.604, 0.781)

Step-by-step explanation:

We know that a 95% confidence interval is a range of values that you can be 95% sure that true mean of the population or true proportion of population lies in it .

Given : The 95% confidence interval for p was calculated to be (0.604, 0.781).

It means that we are 95% certain that true proportion of population "p" is contained in (0.604, 0.781).

Hence, the  correct interpretation for this interval :- 95% certain that true proportion of population "p" is contained in (0.604, 0.781).

56.6

step-by-step explanation:

the ratio of the perimeters is equal to the scale.

the ratio of the areas is equal to the square of the scale.

34 / 20 = k

a / 19.6 = k²

substituting:

a / 19.6 = (34 / 20)²

a = 19.6 (34 / 20)²

a ≈ 56.6