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shtirl [24]
3 years ago
10

Is HAM ~ STE? If so, identify the similarity postulate or theorem that applies?

Mathematics
2 answers:
quester [9]3 years ago
7 0

Answer:  Option 'D' is correct. i.e. Cannot be determined.

Step-by-step explanation:

Since we have given that

In Triangle AHM,

AH = 30

AM = 38

In Triangle TSE,

TS = 15

TE = 19

So, Ratio will be

\frac{AH}{TS}=\frac{AM}{TE}\\\\\frac{30}{15}=\frac{38}{19}\\\\2=2

so, Ratio of two sides are equal but it needed an angle too

Because the criteria is SAS, but it does not fulfill the criteria .

Hence, Option 'D' is correct. i.e. Cannot be determined.

oksano4ka [1.4K]3 years ago
5 0

GIven just two similar sides we don't know that the triangles are similar. The included angle is like a hinge, generating various triangle shapes.

Choice D - cannot be determined

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goldenfox [79]

The standard deviation of both the data are the same which is 3.67 and adding the same constant c to each data value results in the standard deviation remaining the same.

<h3>What is the standard deviation?</h3>

It is defined as the measure of data disbursement, It gives an idea about how much is the data spread out.

We have a data set:

8, 16, 14, 8, 16

As we know the formula for standard deviation is:

\rm \sigma = \sqrt{\dfrac{ \sum (x_i-X)}{n}

Here σ is the standard deviation

xi is each value from the data set

X is the mean of the data set

n is the number of observation in data set.

X = (8+16+14+8+16)/5 = 12.4

n = 5

After calculating the standard deviation will be:

σ = 3.67

Add 8 to each data value to get the new data set 16, 24, 22, 16, 24.

New standard deviation:

σ(new) = 3.67

The standard deviation of both the data are same we can say the standard deviation does not change when we add a constant to each data value.

Adding the same constant c to each data value results in the standard deviation remaining the same.

Thus, the standard deviation of both the data are the same which is 3.67 and adding the same constant c to each data value results in the standard deviation remaining the same.

Learn more about the standard deviation here:

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