Answer:
We can claim with 95% confidence that the proportion of executives that prefer trucks is between 19.2% and 32.8%.
Step-by-step explanation:
We have a sample of executives, of size n=160, and the proportion that prefer trucks is 26%.
We have to calculate a 95% confidence interval for the proportion.
The sample proportion is p=0.26.
The standard error of the proportion is:
The critical z-value for a 95% confidence interval is z=1.96.
The margin of error (MOE) can be calculated as:
![MOE=z\cdot \sigma_p=1.96 \cdot 0.0347=0.068](https://tex.z-dn.net/?f=MOE%3Dz%5Ccdot%20%5Csigma_p%3D1.96%20%5Ccdot%200.0347%3D0.068)
Then, the lower and upper bounds of the confidence interval are:
![LL=p-z \cdot \sigma_p = 0.26-0.068=0.192\\\\UL=p+z \cdot \sigma_p = 0.26+0.068=0.328](https://tex.z-dn.net/?f=LL%3Dp-z%20%5Ccdot%20%5Csigma_p%20%3D%200.26-0.068%3D0.192%5C%5C%5C%5CUL%3Dp%2Bz%20%5Ccdot%20%5Csigma_p%20%3D%200.26%2B0.068%3D0.328)
The 95% confidence interval for the population proportion is (0.192, 0.328).
We can claim with 95% confidence that the proportion of executives that prefer trucks is between 19.2% and 32.8%.
Answer:
20.25
Step-by-step explanation:
45x.40=20.25
Step-by-step explanation:
y + 1 = -(x+5)
y + 1 = -x - 5
y = -x - 6
x + y = -6
Each side is 6 feet.
let s be 1 side of the square
24 = 4s
6 = s
Answer:
The new points after dilation are
(3/2, -3) and (9/2,-3)
Step-by-step explanation:
Here in this question, we want to give the new points of the line segment after it is dilated by a particular scale factor.
What is needed to be done here is to multiply the coordinates of the given line segment by the given scale factor.
Let’s call the positions on the line segment A and B.
Thus we have;
A = (1,-2) and B = (3,-2)
So by dilation, we multiply each of the specific data points by the scale factor and so we have;
A’ = (3/2, -3) and B’= (9/2,-3)