Answer:
--- Running cost
--- Monthly income
71 cars
R1775
Step-by-step explanation:
Given
Expenses

per car
Income
per car
Solving (a): Expression for the running cost
This is calculated as:

Where
y = Total running cost
x = number of cars
So:


Solving (b): Expression for monthly income
This is calculated as:

Where
y = Total income
x = number of cars
So:


Solving (c): Break even
To do this, we equate the expressions in (a) and (b)


Collect Like Terms


Solve for x


Solving (d): How much to break even
Substitute 71 for x in any of (a) or (b)



<em>Solving (e): There is no question to answer on the "graph"</em>
The LCD is 10 because you can multiply 2/5 by 2 to get 4/10
Answer:
The slope should be 34.00.
Step-by-step explanation:
Answer:
We cannot say that the mean wake time are different before and after the treatment, with 98% certainty. So the zopiclone doesn't appear to be effective.
Step-by-step explanation:
The goal of this analysis is to determine if the mean wake time before the treatment is statistically significant. The question informed us the mean wake time before and after the treatment, the number of subjects and the standard deviation of the sample after treatment. So using the formula, we can calculate the confidence interval as following:
![IC[\mu ; 98\%] = \overline{y} \pm t_{0.99,n-1}\sqrt{\frac{Var(y)}{n}}](https://tex.z-dn.net/?f=IC%5B%5Cmu%20%3B%2098%5C%25%5D%20%3D%20%5Coverline%7By%7D%20%5Cpm%20t_%7B0.99%2Cn-1%7D%5Csqrt%7B%5Cfrac%7BVar%28y%29%7D%7Bn%7D%7D)
Knowing that
:
![IC[\mu ; 98\%] = 98.9 \pm 2.602\frac{42.3}{4} \Rightarrow 98.9 \pm 27.516](https://tex.z-dn.net/?f=IC%5B%5Cmu%20%3B%2098%5C%25%5D%20%3D%2098.9%20%5Cpm%202.602%5Cfrac%7B42.3%7D%7B4%7D%20%5CRightarrow%2098.9%20%5Cpm%2027.516)
![IC[\mu ; 98\%] = [71.387 ; 126,416]](https://tex.z-dn.net/?f=IC%5B%5Cmu%20%3B%2098%5C%25%5D%20%3D%20%5B71.387%20%3B%20126%2C416%5D)
Note that
so we cannot say, with 98% confidence, that the mean wake time before treatment is different than the mean wake time after treatment. So the zopiclone doesn't appear to be effective.