All categories

3 years ago

Use prime factorization to find the greatest common factor of 56 and 84

Mathematics

1 answer:

sdas [7]3 years ago

6 0

Answer:

Step-by-step explanation:

Hope this helped.

You might be interested in

Which of the following shows all of the factor pairs of 28?

kow [346]

The factor pairs of a number when multiplied give the original number.

Therefore, all the factor pairs of 28 are:

$\begin{gathered} 1\times28; \\ 2\times14; \\ 4\times7 \end{gathered}$

The correct choice is the first one

4 0

2 years ago

An art history professor assigns letter grades on a test according to the following scheme.A: Top 5% of scoresB: Scores below th

adoni [48]

Answer:

Grade B score:

$76 \leq x \leq 89$

Step-by-step explanation:

We are given the following information in the question:

Mean, μ = 73.3

Standard Deviation, σ = 9.7

We are given that the distribution of score on test is a bell shaped distribution that is a normal distribution.

Formula:

$z_{score} = \displaystyle\frac{x-\mu}{\sigma}$

B: Scores below the top 5% and above the bottom 62%

We have to find the value of x such that the probability is 0.62

$P( X > x) = P( z > \displaystyle\frac{x - 73.3}{9.7})=0.62$

$= 1 -P( z \leq \displaystyle\frac{x - 73.3}{9.7})=0.62$

$=P( z \leq \displaystyle\frac{x - 73.3}{9.7})=0.38$

Calculation the value from standard normal z table, we have,

$\displaystyle\frac{x - 73.3}{9.7} = 0.305\\\\x = 76.26$

We have to find the value of x such that the probability is 0.05

$P(X < 0.95) = \\\\P( X < x) = P( z < \displaystyle\frac{x - 73.3}{9.7})=0.95$

Calculation the value from standard normal z table, we have,

$\displaystyle\frac{x - 73.3}{9.7} = 1.645\\\\x = 89.26$

Thus, the numerical value of score to achieve grade B is

$76 \leq x \leq 89$

7 0

3 years ago

Which statements about residuals are true for the least-squares regression line? I. A random scattering of residuals indicates t

Daniel [21]

Answer:

II. The sum of the residuals is always 0.

Step-by-step explanation:

A least squares regression line is a standard technique in regression analysis used to make the vertical distance obtained from the data points running to the regression line to become very minimal or as small as possible.

For any least-squares regression line, the sum of the residuals is always zero.

Basically, residuals are used to measure or determine whether or not the line of regression is a good fit or match for the data by subtracting the difference between them i.e the predicted y value and the actual y value, for the x value respectively.

Hence, the statement about residuals which is true for the least-squares regression line is that the sum of the residuals is always zero (0).

7 0

3 years ago

Plz answer fast brainleist guaranteed

julia-pushkina [17]

Answer:

They feed different water sheds.

Step-by-step explanation:

(pls mark me brainliest if u can)

Have a great day!

3 0

3 years ago

Read 2 more answers

How many lives does a cat have, also there are 20cats in the room, how many cat lives are in the room

Andrei [34K]

Answer:

Step-by-step explanation:

Technically cats only have one life even though they can survive falls and such

8 0

3 years ago

Use prime factorization to find the greatest common factor of 56 and 84​

Use prime factorization to find the greatest common factor of 56 and 84