Round to the ne the nearest ten thousand in the number 120 400 607 thousand

PLZZZZ HELP FAST!!!!

Volgvan

Divide by 6... For part E, you should know every ingredient for 1 serving by then, so mu multiply by 10

4 0

3 years ago

Read 2 more answers

Please anyone help I’m stuck

cestrela7 [59]

Answer:

a=10.35

Step-by-step explanation:

Hey There!

All you have to do is plug in the L and W value

a= 4.5(2.3)

4.5x2.3=10.35

so a=10.35

5 0

3 years ago

Read 2 more answers

Which of the following describes the transformation from Figure 1 to Figure 2?

Mrrafil [7]

9514 1404 393

Answer:

Rotation 90° CCW

Step-by-step explanation:

Note that Figure 1 has a small appendage off the larger rectangle. That appendage is pointing East (to the right).

In Figure 2, that same appendage is pointing North (up).

If you are facing East and you want to face North, you will find that you need to turn 90° in the counterclockwise direction. That is the transformation that was done here:

rotation 90° CCW about the origin

3 0

3 years ago

Read 2 more answers

How do i solve functions?

Maksim231197 [3]

Most quadratic functions(which is what you have there, to a degree of 2) are solved using factoring and the zero product law. If you can not factor then you have to use the quadratic formula or graph it. However this one can be factored.
It's pretty simple to just factor it by inspection but I use the chart method, if you know decomposition that works as well.
Factoring gives us,
$(2x + 1)(x - 3) = 0$
Then you set each factor to 0 and solve for x,
$2x + 1 = 0$
$2x = - 1$
$x = \frac{ - 1}{2}$
And the second one,
$x - 3 = 0$
$x = 3$
The solutions to this equation are
x = -1/2, 3

6 0

3 years ago

An Epson inkjet printer ad advertises that the black ink cartridge will provide enough ink for an average of 245 pages. Assume t

Neko [114]

Answer:

35.2% probability that the sample mean will be 246 pages or more

Step-by-step explanation:

To solve this question, 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 normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .