The top part is -2(x-1). You have to factor out -2 from the expression. I don't know the second part, Sorry!
Answer:
<h3>a. Give an example for which Arial's claim is true.</h3>
If linear relations have equal coefficient about the independent variable, then those linear relations are parallel. For example,
and
.
Notice that the coefficient of the dependent variable must be also equal, otherwise it would change the slope of the expression and they wouldn't be parallel.
<h3>b. Give an example for which Arial's claim is false.
</h3>
The statement is not false.
<h3>c. Suggest an improvement to Arial's claim.</h3>
An improvemente would be that the constant term no need to be equal too, between linear relations, because they can be at "differecent heights", sort of speak.
Answer:
what grade are you??..........
Answer: 709
Step-by-step explanation:
The formulas we use to find the required sample size :-
1. 
, where
= population standard deviation,
E = Margin of error .
z* = Critical value
2.
, where p= prior estimate of population proportion.
3. If prior estimate of population proportion is unavailable , then we take p= 0.5 and the formula becomes
Given : Margin of error : E= 3% =0.03
Critical value for 95% confidence interval = z*= 1.96
A study conducted several years ago revealed that the percent of junior executives leaving within three years was 21%.
i.e. p=0.21
Then by formula 2., the required sample size will be :


[Round to the next integer.]
Hence, the required sample size of junior executives should be studied = 709
Please include the diagram