Answer:
Step-by-step explanation:
x^3 = 1/8
Taking the cube of both side
x^3 = 1/(2)^3
(x)^3 = (1/2)^3
Eliminate ^3 from both sides
x = 1/2
Answer:
See attached image for the requested graph
Step-by-step explanation:
The values completed in the table and text boxes as shown, are all correct.
For the plotting of the points and drawing of the line, please see the attached image.
Answer:
Each golf ball costs about <u>$2</u>.
Step-by-step explanation:
Given:
Donald bought a box of golf balls for $9.27. There were 18 golf balls in the box.
Rename the decimal dividend as a whole number that is compatible with the divisor to estimate the quotient.
Now, to find the cost of each golf ball.
<u>As given:</u>
<em>Rename the decimal dividend as a whole number that is compatible with the divisor to estimate the quotient.</em>
As, the cost of golf ball box = $9.27.
So, 9.27 nearest to whole number is 9.
Thus to get the cost of each ball:
18 golf balls cost = $9.
So, 1 golf ball cost = 
Therefore, each golf ball costs about $2.
The <u>correct answers</u> are:
6.5 cm = 65.00001052 torr
6.5 cm = 8665.93 Pa
6.5 cm = 0.08552632119 atm
Explanation
The conversion rate from centimeters mercury (cm Hg) to torr is
1 torr = 0.099999983814461 cm.
We have 6.5 cm; this means to convert we divide:
6.5/0.099999983814461 = 65.00001052
The conversion rate from cm Hg to Pascals (Pa) is
1 cm = 1333.22 Pa
We have 6.5 cm; this means to convert we multiply:
6.5(1333.22) = 8665.93
The conversion rate from cm Hg to atmospheres (atm) is
1 atm = 75.999995199606 cm
We have 6.5 cm; this means to convert we divide:
6.5/75.999995199606 = 0.08552632119
Answer:
Explained below.
Step-by-step explanation:
(1)
The confidence level is, 91%.
Compute the value of α as follows:

(2)
As the population standard deviation is provided, i.e. <em>σ</em> = 256 psi, the <em>z</em> value would be appropriate.
The <em>z</em> value for α = 0.09 is,
<em>z</em> = 1.69
(3)
Compute the 91% confidence interval as follows:


(4)
The 91% confidence interval for population mean implies that there is a 0.91 probability that the true value of the mean is included in the interval, (2942.29, 3057.71) psi.