GIVING BRAINLIEST!!!!

Mathematics

2 answers:

Radda [10]3 years ago

5 0

Answer: AREA IS 6ft^2

Step-by-step explanation:

OK, so basically plot those points then connect those 4 points and it will make a RECTANGLE then find the area by counting the length boxes, which is 2 and then count the width boxes which are 3. SO, Formula to find area of a rectangle is LENGTH * WIDTH so do 2*3= 6

area is 6ft^2

DedPeter [7]3 years ago

3 0

Answer:

The area of the diagram would be 6ft ^2

Step-by-step explanation:

i had the same question and got it right

You might be interested in

Which tag/code do you alwaysstart aweb page with

SIZIF [17.4K]

Www. is your answer. Hope I could help

4 0

3 years ago

How do I expand mx(ab-b) by using the distributive property?

kap26 [50]

Mx(ab-b) without distributive property
mxab-mxb with distributive property

4 0

3 years ago

Read 2 more answers

The results of a common standardized test used in psychology research is designed so that the population mean is 155 and the sta

galina1969 [7]

Answer:

The value 155 is zero standard deviations from the [population] mean, because $\\ x = \mu$ , and therefore $\\ z = 0$ .

Step-by-step explanation:

The key concept we need to manage here is the z-scores (or standardized values), and we can obtain a z-score using the next formula:

$\\ z = \frac{x - \mu}{\sigma}$ [1]

Where

z is the z-score.
x is the raw score: an observation from the normally distributed data that we want standardize using [1].
$\\ \mu$ is the population mean.
$\\ \sigma$ is the population standard deviation.

Carefully looking at [1], we can interpret it as the distance from the mean of a raw value in standard deviations units. When the z-score is negative indicates that the raw score, x, is below the population mean, $\\ \mu$ . Conversely, a positive z-score is telling us that x is above the population mean. A z-score is also fundamental when determining probabilities using the standard normal distribution.

For example, think about a z-score = 1. In this case, the raw score is, after being standardized using [1], one standard deviation above from the population mean. A z-score = -1 is also one standard deviation from the mean but below it.

These standardized values have always the same probability in the standard normal distribution, and this is the advantage of using it for calculating probabilities for normally distributed data.

A subject earns a score of 155. How many standard deviations from the mean is the value 155?

From the question, we know that:

x = 155.
$\\ \mu = 155$ .
$\\ \sigma = 50$ .

Having into account all the previous information, we can say that the raw score, x = 155, is zero standard deviations units from the mean. The subject earned a score that equals the population mean. Then, using [1]:

$\\ z = \frac{x - \mu}{\sigma}$

$\\ z = \frac{155 - 155}{50}$