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mel-nik [20]
3 years ago
5

How do I find reflections?

Mathematics
2 answers:
Iteru [2.4K]3 years ago
3 0
Well thats simple. Got to your bathroom and look at a mirror. You'll see your own reflection.
Luda [366]3 years ago
3 0
If we have a point of \left[\begin{array}{ccc}a\\b\end{array}\right] and it's reflected by the line x = h,
you'll have the reflection point of \left[\begin{array}{ccc}2h-a\\b\end{array}\right]

From the question above, we conclude that
⇒ the point we have
\left[\begin{array}{ccc}a\\b\end{array}\right] = \left[\begin{array}{ccc}3\\4\end{array}\right]
⇒ reflected by
x = 1

The reflection point will be
\left[\begin{array}{ccc}2h-a\\b\end{array}\right]
=\left[\begin{array}{ccc}2(1)-3\\4\end{array}\right]
=\left[\begin{array}{ccc}2-3\\4\end{array}\right]
=\left[\begin{array}{ccc}-1\\4\end{array}\right]

The reflection point is (-1,4)

You might be interested in
Order the numbers from least to greatest 41/50, 0.83, 80%​
Tresset [83]

Answer:

80%, 41/50, 0.83

Step-by-step explanation:

80% = 0.80

41/50 = 0.82

0.83 = 0.83

8 0
2 years ago
Imagine an experiment having three conditions and 20 subjects within each condition. The mean and variances of each condition ar
xxTIMURxx [149]

Answer:

1. Mean square B= 5.32

2. Mean square E= 16.067

3. F= 0.33

4. p-value: 0.28

Step-by-step explanation:

Hello!

You have the information of 3 groups of people.

Group 1

n₁= 20

X[bar]₁= 3.2

S₁²= 14.3

Group 2

n₂= 20

X[bar]₂= 4.2

S₂²= 17.2

Group 3

n₃= 20

X[bar]₃= 7.6

S₃²= 16.7

1. To manually calculate the mean square between the groups you have to calculate the sum of square between conditions and divide it by the degrees of freedom.

Df B= k-1 = 3-1= 2

Sum Square B is:

∑ni(Ÿi - Ÿ..)²

Ÿi= sample mean of sample i ∀ i= 1,2,3

Ÿ..= general mean is the mean that results of all the groups together.

General mean:

Ÿ..= (Ÿ₁ + Ÿ₂ + Ÿ₃)/ 3 = (3.2+4.2+7.6)/3 = 5

Sum Square B (Ÿ₁ - Ÿ..)² + (Ÿ₂ - Ÿ..)² + (Ÿ₃ - Ÿ..)²= (3.2 - 5)² + (4.2 - 5)² + (7.6 - 5)²= 10.64

Mean square B= Sum Square B/Df B= 10.64/2= 5.32

2. The mean square error (MSE) is the estimation of the variance error (σ_{e}^2 → S_{e} ^{2}), you have to use the following formula:

Se²=<u> (n₁-1)S₁² + -(n₂-1)S₂² + (n₃-1)S₃²</u>

                        n₁+n₂+n₃-k

Se²=<u> 19*14.3 + 19*17.2 + 19*16.7 </u>= <u>  915.8   </u>  = 16.067

                 20+20+20-3                  57

DfE= N-k = 60-3= 57

3. To calculate the value of the statistic you have to divide the MSB by MSE

F= \frac{Mean square B}{Mean square E} = \frac{5.32}{16.067} = 0.33

4. P(F_{2; 57} ≤ F) = P(F_{2; 57} ≤ 0.33) = 0.28

I hope you have a SUPER day!

3 0
3 years ago
Round 3.44570830811 to the nearest hundred-thousandth,
Alika [10]

Answer:

3.44571

Step-by-step explanation:

look at the number to the right of the decimal. if the number is higher than or is 5 round the number up, but if the number is less than 5 it will stay the same.

4 0
3 years ago
144 rocks divided among 12 teams equals?
scoundrel [369]
144/12 is 12 

so it is equally divided 
8 0
3 years ago
HELP PLEASE! WILL GIVE BRAINLESIT ​
Rudik [331]

Answer: Hypotheses ?

Step-by-step explanation:

6 0
3 years ago
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