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enyata [817]
3 years ago
10

What is the actual area, in square meters of this field?

Mathematics
2 answers:
Doss [256]3 years ago
3 0
Hey!!

here is your answer >>>

The formula for the area of the triangle is

1/2 × base × height

Base = 7

height = 5

1/2 × 7 × 5

1/2 × 35

area = 17.5 m^2

Hope my answer helps!
Papessa [141]3 years ago
3 0
The easiest way is to draw a square around the triangle connecting all the vertices, find the area of the square, then find the area of the new triangles, then subtract the area from the triangles from the square. Lastly, I THINK I think that you multiply everything by 2. I'm not that sure about that. 
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Olenka [21]
The slope is 2/3 and the y intercept is -3
5 0
2 years ago
I WILL GIVE BRIWNLIEST AND THANKS AND MORE POINTS TO CORRECT PERSON
AlekseyPX

Step-by-step explanation:

hi im not sure it's right it was kinda confusing

8 0
3 years ago
Read 2 more answers
The age at which small breed dogs are fully housebroken follows a Normal distribution with mean ms = 6 months and standard devia
atroni [7]

Answer:

This measure is just 0.17 standard deviations from the mean, so we should not be surprised.

Step-by-step explanation:

Normal probability distribution

When the distribution is normal, we use 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.

If the z-score is lower than -2, or higher than 2.5, the score of X is considered unusual.

Subtraction of normal variables:

When we subtract normal variables, the mean is the subtraction of the means, while the standard deviation is the square root of the sum of the variances.

Let xS – xL represent the sampling distribution.

Mean s 6, means L 4. So

\mu = 6 - 4 = 2

Standard deviation s is 2.5, for L is 1.5. So

\sigma = \sqrt{2.5^2+1.5^2} = 2.915

Should we be surprised if the sample mean housebroken age for the small breed dogs is at least 2.5 months more than the sample mean housebroken age for the large breed dogs? Explain your answer.

We have to find the z-score for X = 2.5. So

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

Z = \frac{2.5 - 2}{2.915}

Z = 0.17

This measure is just 0.17 standard deviations from the mean, so we should not be surprised.

7 0
2 years ago
Anabelle collected data on the favorite superhero of the students in her class. The table shows the relative frequencies of rows
valentinak56 [21]

Considering the proportions given in the table, the superhero is most likely to be the favorite is Superman.

<h3>What is a proportion?</h3>

A proportion is a fraction of a total amount, and the measures are related using a rule of three. Due to this, relations between variables, either direct or inverse proportional, can be built to find the desired measures in the problem.

Looking at the table, the proportions associated with each superhero is given as follows:

  • Superman: 0.46.
  • Spiderman: 0.27.
  • Batman: 0.09.
  • Wonder woman: 0.18.

As it has the highest proportion, the superhero is most likely to be the favorite is Superman.

More can be learned about proportions at brainly.com/question/24372153

#SPJ1

8 0
1 year ago
104, 137, 154, 131, x; mean = 130
pochemuha
<span>(104+ 137+ 154 +131+x )/5= 130
526 + x = 650
          x = 650 - 526
          x = 124
          </span>
7 0
3 years ago
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