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3 years ago

Are the two triangles simliar? How do you know?

Mathematics

1 answer:

lesya [120]3 years ago

7 0

The triangles could be similar by both having right angles, same sides, measurements, ect.

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Please helpppppppppp

Alika [10]

Answer:

x = 1/3

Step-by-step explanation:

f(x) = -3x^2 + 2x-17

This is in the form

ax^2 +bx+c

a = -3 b = 2 c = -17

The axis of symmetry is at

x = -b/2a

x = -2/ (2*-3)

x = -2/-6

x = 1/3

8 0

3 years ago

The sum of the square roots of any two sides of an isosceles triangle is equal to the to the square root of the remaining side t

Galina-37 [17]

Nope- false
The sum of the square roots of two sides of a _right_ triangle is equal to the hypotenuse.

3 0

3 years ago

Can you discuss the differences and similarities between dividing with whole numbers and decimals.

goldenfox [79]

Answer:

Comparing a whole numbers and a decimals:

First let’s talk about the similarities of comparing whole numbers and decimals:

=> their place value always matters.

Now, let’s proceed to their differences

=> in comparing whole numbers, we don’t care about the value to the nearest decimal points or the value of ones. We always look at the highest value, not unless the highest values are all the same.

=> In comparing decimals, the value to the nearest decimal points or the tenths place value always matters.

5 0

3 years ago

The prices of all college textbooks follow a bell-shaped distribution with a mean of $113 and a standard deviation of $12. Using

Soloha48 [4]

Step-by-step explanation:

In statistics, the empirical rule states that for a normally distributed random variable,

68.27% of the data lies within one standard deviation of the mean.

95.45% of the data lies within two standard deviations of the mean.

99.73% of the data lies within three standard deviations of the mean.

In mathematical notation, as shown in the figure below (for a standard normal distribution), the empirical rule is described as

$\Phi(\mu \ - \ \sigma \ \leq X \ \leq \mu \ + \ \sigma) \ = \ 0.6827 \qquad (4 \ \text{s.f.}) \\ \\ \\ \Phi(\mu \ - \ 2\sigma \ \leq X \ \leq \mu \ + \ 2\sigma) \ = \ 0.9545 \qquad (4 \ \text{s.f.}) \\ \\ \\ \Phi}(\mu \ - \ 3\sigma \ \leq X \ \leq \mu \ + \ 3\sigma) \ = \ 0.9973 \qquad (4 \ \text{s.f.})$

where the symbol $\Phi$ (the uppercase greek alphabet phi) is the cumulative density function of the normal distribution, $\mu$ is the mean and $\sigma$ is the standard deviation of the normal distribution defined as $N(\mu, \ \sigma)$ .

According to the empirical rule stated above, the interval that contains the prices of 99.7% of college textbooks for a normal distribution $N(113, \ 12)$ ,

$\Phi(113 \ - \ 3 \ \times \ 12 \ \leq \ X \ \leq \ 113 \ + \ 3 \ \times \ 12) \ = \ 0.9973 \\ \\ \\ \-\hspace{1.75cm} \Phi(113 \ - \ 36 \ \leq \ X \ \leq \ 113 \ + \ 36) \ = \ 0.9973 \\ \\ \\ \-\hspace{3.95cm} \Phi(77 \ \leq \ X \ \leq \ 149) \ = \ 0.9973$

Therefore, the price of 99.7% of college textbooks falls inclusively between $77 and $149.

5 0

2 years ago

compute the mean and variance of the following discrete probability distribution. (round your answers to 2 decimal places.) x p(

a_sh-v [17]

The determined value of mean µ is 1.3 and variance σ² is 0.81.

What is mean and variance?

A measurement of central dispersion is the mean and variance. The average of a group of numbers is known as the mean.
The variance is calculated as the square root of the variance.

We can determine how the data we are collecting for observation are dispersed and distributed by looking at central dispersion.

The table is attached as an image for reference.

Mean µ = ∑X P(X)

µ = 1.3

Variance (σ² ) = ∑ X² P(X)- (µ)²

= 2.5-(1.3)²

(σ² ) = 0.81

The determined value of mean µ is 1.3 and variance σ² is 0.81.

Learn more about mean and variance here:

brainly.com/question/25639778

#SPJ4

6 0

2 years ago