Answer:
5.6 x 5.6 x 6.16 x 6.16=1190
Step-by-step explanation:
5.6 x 5.6 x 6.16 x 6.16=1189.974016
Rounded up will be 1190.
Production would take place at a point inside the production possibility frontier
The Production possibilities curve is a curve that shows the various combination of two goods a company can produce when all its resources are fully utilised.
The PPC is concave to the origin. This means that as more quantities of a product is produced, the fewer resources it has available to produce another good. As a result, less of the other product would be produced. So, the opportunity cost of producing a good increase as more and more of that good is produced.
Points inside the production possibilities curve means that the nations resources are not being fully utilised
When the unemployment rate increases, it means that labour resources are not been fully utilized. As a result, production would take place at point inside the production possibilities curve
Point outside the curve or to the right of the curve means that the production level is not attainable given the level of resources
Learn more about the production possibility curve here : brainly.com/question/12047178?referrer=searchResults
Answer:
$60
Step-by-step explanation:
360 is for 6 T-shirt, so 1 T-shirt is:
$360 : 6 = $60
note: I feel like this question has a wierd wording
Answer:
$348.82
Step-by-step explanation:
240 +86=326
326× 7%= 22.82
326+22.82= $348.82
Answer:
The 95% confidence interval for the mean of all body temperatures is between 97.76 ºF and 99.12 ºF
Step-by-step explanation:
We have the standard deviation for the sample, so we use the t-distribution to solve this question.
The first step to solve this problem is finding how many degrees of freedom, we have. This is the sample size subtracted by 1. So
df = 10 - 1 = 9
95% confidence interval
Now, we have to find a value of T, which is found looking at the t table, with 9 degrees of freedom(y-axis) and a confidence level of 
. So we have T = 2.2622
The margin of error is:
M = T*s = 2.2622*0.3 = 0.68
In which s is the standard deviation of the sample.
The lower end of the interval is the sample mean subtracted by M. So it is 98.44 - 0.68 = 97.76 ºF
The upper end of the interval is the sample mean added to M. So it is 98.44 + 0.68 = 99.12 ºF
The 95% confidence interval for the mean of all body temperatures is between 97.76 ºF and 99.12 ºF
