What is the Absolute value 18/8

<JNR and <RNX are congruent. if the sum of the measures of the two angles is 180, what type of angle are they?

Klio2033 [76]

Answer:

right angles and supplementary

4 0

3 years ago

Stop blocking me cuz im doing my work amd i pay for this soooo stop blocking meeeeeereeeee

laiz [17]

Ok?.....................

6 0

2 years ago

Read 2 more answers

Multiplying monomials and binomials

lubasha [3.4K]

Answer:

$28w^2-476w$

Step-by-step explanation:

The general rule we are going to use to multiply this out is the distributive property. Which is:

a(b+c) = ab + ac

<u>Note:</u> x * x = x^2

Now multiplying, we get:

$28w(w-17)\\=28w*w-28w*17\\=28w^2-476w$

This is the multiplied out form, answer.

7 0

3 years ago

Shyla had a balance of −$255.25 in her account, and Susan had a balance of −$178.75 in her account. Which statement explains why

Nesterboy [21]

It is given that, Shyla had a balance of −$255.25 in her account, and Susan had a balance of −$178.75 in her account.

And absolute value of -255.25 =255.25 which is greater than absolute value of -178.75 which is 178.75. It means , Shyla's account balance is more than Susan's account balance . THerefore, Shyla owes the bank more than Susan .

5 0

3 years ago

The mean weight of boxes shipped by a company is 12 lbs., with a standard deviation of 4 lbs. Assume weight of boxes follows Nor

777dan777 [17]

Answer:

0.89% probability that a palette of 10 boxes will exceed that limit (150 lbs.)

Step-by-step explanation:

To solve this question, we have to understand the normal probability distribution and the central limit theorem.

Normal probability distribution:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value 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. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central limit theorem:

The Central Limit Theorem estabilishes that, for a random variable X, with mean $\mu$ and standard deviation $\sigma$ , a large sample size can be approximated to a normal distribution with mean \mu and standard deviation, which is also called standard error $s = \frac{\sigma}{\sqrt{n}}$

In this problem, we have that:

$\mu = 12, \sigma = 4, n = 10, s = \frac{4}{\sqrt{10}} = 1.2649$

1. What’s the probability that a palette of 10 boxes will exceed that limit (150 lbs.)? a. HINT: Prob (total weight of a sample of 10 boxes >150 lbs.) = Prob (the sample mean weight ( y hat ) > 15 lbs.)

This is 1 subtracted by the pvalue of Z when X = 15. So

$Z = \frac{X - \mu}{\sigma}$

By the Central Limit Theorem

$Z = \frac{X - \mu}{s}$

$Z = \frac{15 - 12}{1.2649}$

$Z = 2.37$

$Z = 2.37$ has a pvalue of 0.9911

1 - 0.9911 = 0.0089

0.89% probability that a palette of 10 boxes will exceed that limit (150 lbs.)

6 0

4 years ago