All categories

3 years ago

Develop TWO equations that would model the given situation. Make sure you state the variable i.e. x= # of chairs.

1 answer:

4 0

1small bus=12
large bus=24

total passengers is 780
total busses is 20
# of small bus =x
# of large bus=y
so x+y=20

every one x=12 people so
780=12x+24y
the 2 equations are
x+y=20
12x+24y=780

Store sells wheels in pachages of 2 and 3
40 packs and 100 wheels
1 pack of 2 =2 so
# of 2 pack=x
# of 3 pack=y
x+y=40
2x+3y=100
those are the 2 equations

You might be interested in

I need your help please

Bess [88]

56m^2

see the steps from the pic

4 0

3 years ago

What is the GCF for each set of numbers 9 and 27

galben [10]

The greatest common factor 9 and 27 is 9.

The factors of 9 are 9, 3, 1. The factors of 27 are 27, 9, 3,

5 0

3 years ago

Read 2 more answers

1/4(1/3k+9)=6 step 1- 1/3k=15 step 2- 1/3k=15 step 3- k=5 find Olgas mistake step 1 step 2 steps 3 Olga did not make a mistake

shtirl [24]

Answer:

Step 3 contains error.

Step-by-step explanation:

The given equation is :

$\dfrac{1}{4}(\dfrac{1}{3}k+9)=6$

Step 1.

Cross multiplying,

$(\dfrac{1}{3}k+9)=24$

Step 2.

Subtract 9 from both sides

$\dfrac{1}{3}k+9-9=24-9\\\\\dfrac{1}{3}k=15$

Step 3.

Cross multiplying

$k=15\times 3\\\\k=45$

So, there is an error in step 3. The correct answer should be 45.

3 0

3 years ago

In a given year, the average annual salary of a NFL football player was $189,000 with a standard deviation of $20,500. If a samp

nika2105 [10]

Answer:

15.15% probability that the sample mean will be $192,000 or more.

Step-by-step explanation:

To solve this problem, we need 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 $s = \frac{\sigma}{\sqrt{n}}$