Answer:
a=-8 b=2
Step-by-step explanation:
x^2+6x-16
x^2+(8-2)x-16=0
x^2+8x-2x-16=0
X(X+8)-2(X+8)=0
(X+8)(x-2)=0
Compare with (X+a)(X+b)
Where we get a=-8 b=2
Answer:
two equal parts .
Step-by-step explanation:
The bisector is breaking the attribute or the objects into the 2 equal parts that are equivalent. The bisector is applied to the segments with the angles and the curves.
- We can draw the line that divided the into the 2 angle or the two parts the two angle are of equal angle .
- The two angle that are of equal is known as bisector angle .
Answer:
Jayce's fee for his 
drive is equal to 
dollars.
Step-by-step explanation:
models Jayce's fee (in dollars) for his 
drive on a certain day.
Substitute 
then
models Jayce's fee (in dollars) for his drive on a certain day.
This means Jayce's fee for his drive is equal to dollars.
Answer:
C. 0.68
Step-by-step explanation:
Given;
number of products sold in a day by toll-free sales line = 85 products
number of calls in a day = 125
The daily success rate of the sales line is given by the ratio of the total products in a day to total number of calls in a day.
The daily success rate of the sales line = total products sold / number of calls
The daily success rate of the sales line = 85 / 125
The daily success rate of the sales line = 0.68
Therefore, the daily success rate of the sales line is 0.68
Answer:
All but last statement are correct.
Step-by-step explanation:
- <em>If we were to use a 90% confidence level, the confidence interval from the same data would produce an interval wider than the 95% confidence interval.</em>
True. Confidence interval gets wider as the confidence level decreases.
- <em>The sample proportion must lie in the 95% confidence interval. </em>
True. Confidence interval is constructed around sample mean.
- <em>There is a 95% chance that the 95% confidence interval actually contains the population proportion.</em>
True. Constructing 95%. confidence interval for a population proportion using a sample proportion from a random sample means the same as the above statement.
- <em>We don't know if the 95% confidence interval actually does or doesn't contain the population proportion</em>
True. There is 95% chance that confidence interval contains population proportion and 5% chance that it does not.
- <em>The population proportion must lie in the 95% confidence interval</em>
False. There is 95% chance that population proportion lies in the confidence interval.
