Answer:
3y^2 - (y + 2) (y - 2) = 0
<=> 3y^2 - (y^2 - 4) = 0
<=> 2y^2 + 4 =0
<=>y^2 + 2 = 0
=> Because y^2 is always equal or larger than 0, there is no real solution.
Hope this helps!
:)
Answer:
Yes, the given analysis involves a statistical test. Population parameter of interest = '% of community people living in mobile homes' (MH)
- H0 : MH = 0.09
- H1 : MH > 0.09
Step-by-step explanation:
Hypothesis testing is a statistical test, of testing an assumption (statement) about population parameter.
Null Hypothesis [H0] is a neutral statement of 'no difference' about a population parameter; stating variable is no different than its mean.
Alternate hypothesis [H1] is the 'specific difference' stating hypothesis about a population parameter; contrary to the null hypothesis.
To determine if there is evidence for the claim that the percentage of people in the community living in a mobile home is greater than 9% :
This analysis can be done by using statistical test : one sided 't' test. The population parameter of interest would be '% of community people living in mobile homes' (MH)
- H0 : MH = 9% → MH = 0.09
- H1 : MH > 9% → MH > 0.09
Answer: The area of the triangle is 24 square inches
Step-by-step explanation:
Hi, since the 2 triangles form a parallelogram ( see attachment) we have the base and height of the triangles, we have to apply the next formula:
Area of a triangle; (base x height) /2
Replacing with the values:
A = (8x6 )/2
A = 48 /2
A = 24 square inches
The area of the triangle is 24 inches
Feel free to ask for more if needed or if you did not understand something.
Answer:
Follows are the solution to the given points:
Step-by-step explanation:
In point a:
In this sense, describe what type of error I will be.
Type I error: to conclude that perhaps the mean bulb life would be less than three hours when it becomes (at least) 3 hours.
In point b:
Describe throughout this context what the Type II error becomes.
An error of type II: never assuming that its bulbs' mean lifetime is much less than 3 hours. three hours at least
In point c:
What error — type I and type II — would further impact the interaction between the manufacturer and the customer?
A Type II error is probably further problematic because it means that even the buyer will buy bulbs that do not last long.
Step-by-step explanation:
5n+8
5n=-8
5n/5=-8/5
n=-1.6