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Lady_Fox [76]
3 years ago
6

Two triangles with the same corresponding side lengths will be congruent is known as the

Mathematics
2 answers:
MrRissso [65]3 years ago
8 0
.....corresponding sides 

krek1111 [17]3 years ago
4 0
Yes I would go with the same thing.
You might be interested in
ΔΑΒC Δ EDS<br> What is the value of x?
Bas_tet [7]

Answer:

<u>The value of x is 11 and CE = 40 and AC = 60</u>

Step-by-step explanation:

Δ ΑΒC ≅ Δ EDS, therefore we have that:

24 / 36 = 3x + 7 / 6x - 6

Solving for x,

24 * (6x -6) = 36 * (3x + 7)

144x - 144 = 108x + 252

144x - 108x = 252 + 144

36x = 396

x = 396/36

x = 11 ⇒ 3x + 7 = 33 + 7 = 40; ⇒ 6x - 6 = 66 - 6 = 60

<u>The value of x is 11 and CE = 40 and AC = 60</u>

3 0
3 years ago
Jumbo eggs in Australia, on average, are supposed to weigh 68g. Margot is in charge of a quality control test that involves weig
Andrej [43]

Answer:

0.9987 = 99.87% probability that the mean weight of 4 eggs in a package is less than 68.5g

Step-by-step explanation:

To solve this question, we use the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be 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}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean weight of 67g and a sample standard deviation of 1g.

This means that \mu = 67, \sigma = 1

Sample of 4

This means that n = 4, s = \frac{1}{\sqrt{4}} = 0.5

What is the probability that the mean weight of 4 eggs in a package is less than 68.5g?

This is the pvalue of Z when X = 68.5. So

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

By the Central Limit Theorem

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

Z = \frac{68.5 - 67}{0.5}

Z = 3

Z = 3 has a pvalue of 0.9987

0.9987 = 99.87% probability that the mean weight of 4 eggs in a package is less than 68.5g

6 0
3 years ago
Read 2 more answers
5. y = 2x + 6<br> 2x - y=2
Crank

Step-by-step explanation:

y = 2x + 6

2x - y = 2

To solve this system of equations, let's first add the equations together:

(y) + (2x - y) = (2x + 6) + (2)

2x = 2x + 8

2x - 2x = 8

0 = 8

There are no values of x that will make this equation true, so the lines never intersect, and therefore there are no solutions to this system of equations.

5 0
3 years ago
F() = 37. What are the domain and range of f-12)?
Gwar [14]

Answer:

c

Step-by-step explanation:

6 0
3 years ago
Can someone help me in question 28 please
AnnyKZ [126]

Answer: You would get 1 for the first section

Step-by-step explanation: you square whatever number is the x then you cube the x.

6 0
3 years ago
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