Factor −12−12 out of −12x+6.

Mathematics

2 answers:

Novay_Z [31]2 years ago

7 0

The answer is -12x+-18

dem82 [27]2 years ago

6 0

Let's simplify step-by-step.−12−12−12x+6=−12+−12+−12x+6Combine Like Terms:=−12+−12+−12x+6=(−12x)+(−12+−12+6)
=−12x+−18

You might be interested in

Ramon took out a car loan with an interest rate of 10 percent and paid $100 in loan application fees. What term describes the am

Drupady [299]

The term describes the amount of interest Ramon will pay is APR, annual percent rate which is 10%. The term annual percentage rate of charge (APR), corresponding sometimes to a nominal APR and sometimes to an effective APR (or EAPR), describes the interest rate for a whole year (annualized), rather than just a monthly fee/rate, as applied on a loan,

7 0

3 years ago

What is the measure of the corresponding central angle for XY in radians?

beks73 [17]

Answer:

4 radians

Step-by-step explanation:

Arc Length (Radians) = rθ

Given Arc Length XY = 40cm and radius, r = 10cm,

we will substitute these 2 values into the formula to find θ.

(10)θ = 40

θ = 40 / 10

= 4 radians

5 0

2 years ago

Read 2 more answers

5. Suppose that a particular candidate for public office is in fact favored by p = 48% of all registered voters. A polling organ

mart [117]

Answer:

Probability that the sample proportion will be greater than 0.5 is 0.8133.

Step-by-step explanation:

We are given that the a particular candidate for public office is in fact favored by p = 48% of all registered voters. A polling organization is about to take a simple random sample of voters and will use the sample proportion to estimate p.

Suppose that the polling organization takes a simple random sample of 500 voters.

Let $\hat p$ = sample proportion

The z-score probability distribution for sample proportion is given by;

Z = $\frac{ \hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }$ ~ N(0,1)

where, $\hat p$ = sample proportion

p = population proportion = 48%

n = sample of voters = 500

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, probability that the sample proportion will be greater than 0.5 is given by = P( $\hat p$ > 0.50)

P( $\hat p$ > 0.50) = P( $\frac{ \hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }$ < $\frac{0.50-0.48}{\sqrt{\frac{0.50(1-0.50)}{500} } }$ ) = P(Z < 0.89) = 0.8133

Now, in the z table the P(Z $\leq$ x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 0.89 in the z table which has an area of 0.8133.