Basically the Remainder theorem states that the remainder of dividing a polynomial P(x) by (x - a) is given by P(a).
So for example if we divide x^ 2 - 2x + 7 by x - 2 the remainder will be
2^2 - 2(2) + 7 = 7..
If the remainder is 0 then the divisor will be a factor of the polynomial. This is the Factor Theorem and can be used to test if a given polynomial has a factor x-a.
Answer:
the GPE is 1/2 the unit of measure used to make the measurement or you say 1/2 the most precise unit
12.3 L has 0.1 as the most precise unit of measure, so 1/2 of 0.1 is 0.05 L which is c. above
look at it this way: 12.3 can be any number between 12.25 and 12.34 rounded to the nearest tenth
any number from 12.25 to 12.34 rounded to the nearest tenth gives you 12.3, so the GPE that you can possibly make is 0.05; if the number was 12.24 it would round down to 12.2 not up to 12.3 and if the number was 12.35 it would round up to 12.4 not round down to 12.3, so again the greatest possible error that you can make is 0.05
Answer:
<h2>10(4-g)</h2>
Step-by-step explanation:

Rewrite 40 as 4 × 10

Factor out 10

<span>Calling the company that holds the car loan and asking them about other repayment options is the best tactic. This allows the loan holder to negotiate terms that would be acceptable to both sides, as well as showing that Angela is trying to make a good-faith effort to repay what she can. While it may increase the overall length of time that her payments require, it also shows that she is not going to outright default on the payments.</span>
Answer:
(B) The correct interpretation of this interval is that 90% of the students in the population should have their scores improve by between 72.3 and 91.4 points.
Step-by-step explanation:
Confidence interval is the range the true values fall in under a given <em>confidence level</em>.
Confidence level states the probability that a random chosen sample performs the surveyed characteristic in the range of confidence interval. Thus,
90% confidence interval means that there is 90% probability that the statistic (in this case SAT score improvement) of a member of the population falls in the confidence interval.