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Mrac [35]
3 years ago
12

Write an equation in slope intercept form given the following m = 5/4 and passing through (- 4, - 3)

Mathematics
1 answer:
raketka [301]3 years ago
8 0
Y = 5/4x + 2


y - (-3) = 5/4 ( x - (-4))

1. Distribute 5/4

y + 3 = 5/4x + 5

2. Subtract three to collect like terms

y = 5/4x + 2
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The number of eggs e in the carton and the total costs t of the eggs. what is the dependent variable
just olya [345]
T because you need to know the number of eggs, e, to know how much it costs.
6 0
3 years ago
What is the following sum4/5+2/5
Amiraneli [1.4K]

Answer:

6/5 or 1 1/5

Edit:

soo

4\sqrt{5} + 2\sqrt{5} = 6\sqrt{5}

since they both are being multipled to the square root of 5, you can just add them (i think)

Step-by-step explanation:

6 times the square root of 5

you add 4 and 2

4 0
2 years ago
Read 2 more answers
A box contains 3 red pencils, 4 blue pencils, 2 green pencils, and 1 regular pencil.
raketka [301]

Answer:

100

Step-by-step explanation:

add all the number together 3 + 4 + 2 +1=10

250/10=25

then times 25 with the 4 number at the top

25 times 4 =100

so there is 100 blue pencils

8 0
3 years ago
I need help please ASAP
storchak [24]

Answer:

8.80

hope this helps :)

Step-by-step explanation:

since it is 3% you have to divide it by 3,408

[3%]/[3,408]= 8.80

8 0
3 years ago
Find the mean, variance, and standard deviation of the binomial distribution with the given values of n and p. n = 50 p = 0.2
Irina-Kira [14]

Answer:

The mean, variance, and standard deviation of the binomial distribution are 10, 8, and 2.83 respectively.

Step-by-step explanation:

We have to find the mean, variance, and standard deviation of the binomial distribution with the given values of n and p, i.e; n = 50 p = 0.2.

Let X = <u><em>binomial random variable</em></u>

So, X ~ Binom(n = 50, p = 0.2)

Now, the mean of the binomial distribution is given by;

         Mean of X, E(X) = n \times p

                                    = 50 \times 0.2 = 10

Now, the variance of the binomial distribution is given by;

        Variance of X, V(X) = n \times p \times (1 - p)

                                         = 50 \times 0.2 \times (1 - 0.2)

                                         = 10 \times 0.8 = 8

Also, the standard deviation of the binomial distribution is given by;

        Standard deviation of X, S.D.(X) = \sqrt{\text{n} \times \text{p} \times (1 - \text{p})}

                                                              = \sqrt{\text{50} \times \text{0.2} \times (1 - \text{0.2})}

                                                              = \sqrt{8} = 2.83

3 0
3 years ago
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