Answer:
The interval estimate for the population proportion of American adults who got their health insurance from an employer is (0.43, 0.47).
Step-by-step explanation:
The confidence interval is the interval estimate of the population parameter.
The confidence interval has a certain probability that the true value of the parameter is contained in the interval.
The general form of the confidence interval is:

Here,
SS = sample statistic.
MOE = margin of error
The sample statistic is an unbiased estimator of the population parameter. If the sample size is large enough then the sample statistic can be used to estimate the population parameter value.
In this case the parameter of interest is the population proportion of American adults who got their health insurance from an employer.
The information provided is:
<em>SS = p = </em>0.45.
<em>MOE</em> = 0.02.
Compute the confidence interval for the population proportion <em>p</em> as follows:

Thus, the interval estimate for the population proportion of American adults who got their health insurance from an employer is (0.43, 0.47).
If it takes yards and turns it into feet then it just multiplies it by 3
so if the input is 10.5 then you just multiply it by three
31.5 feet is the imput
The coordinates of the vertices of the triangle are
(–8, 8), (–8, –4), and<span> (10, –4)</span>.
Consider QR the base of the triangle. The measure of the base is b = 18 units, and the measure of the height is h = <span>12</span> units.
The area of triangle PQR is<span>108</span> square units.
The x-coordinate remains the same as the x-coordinate of point B.
The y-coordinate becomes the additive inverse of the y-coordinate of point B.
Answer: B. (3, -8)