All categories

3 years ago

Cost of a pen: $0.95 Markup: 60%

Mathematics

1 answer:

julia-pushkina [17]3 years ago

5 0

Multiply the $0.95 by .06 or if you have a percentage button then do $0.95 by 60% and you’ll get your answer of 0.57

You might be interested in

Plantea una ecuacion

Anna35 [415]

Answer:78phy

gigh[ood9..8d55.5.5.5.5.5.5.5.6.s7s47.4

Step-by-step explanation:

8 0

4 years ago

PLEASE HELP MULTIPLE CHOICE (photo of question attached) WILL GIVE BRAINLEIST!

kvv77 [185]

Answer:

A five units right and three units up

Step-by-step explanation:

take coordinate C for example and count how many spaces you need to go either right or left and then up and down for the two triangles to be in the same place

7 0

2 years ago

Suppose that a college determines the following distribution for X = number of courses taken by a full-time student this semeste

lidiya [134]

Answer:

$E(X) = \sum_{i=1}^n X_i P(X_i) = 3*0.07 +4*0.4 +5*0.25 +6*0.28= 4.74$ In order to find the variance we need to calculate first the second moment given by:

$E(X^2) = \sum_{i=1}^n X^2_i P(X_i) = 3^2*0.07 +4^2*0.4 +5^2*0.25 +6^2*0.28= 23.36$ And the variance is given by:

$Var(X) = E(X^2) +[E(X)]^2 = 23.36 -[4.74]^2 = 0.8924$

And the deviation would be:

$Sd(X) =\sqrt{0.8924} =0.9447$

Step-by-step explanation:

Previous concepts

The expected value of a random variable X is the n-th moment about zero of a probability density function f(x) if X is continuous, or the weighted average for a discrete probability distribution, if X is discrete.

The variance of a random variable X represent the spread of the possible values of the variable. The variance of X is written as Var(X).

Solution to the problem

For this case we have the following distribution given:

X 3 4 5 6

P(X) 0.07 0.4 0.25 0.28

We can calculate the mean with the following formula:

$E(X) = \sum_{i=1}^n X_i P(X_i) = 3*0.07 +4*0.4 +5*0.25 +6*0.28= 4.74$

In order to find the variance we need to calculate first the second moment given by:

$E(X^2) = \sum_{i=1}^n X^2_i P(X_i) = 3^2*0.07 +4^2*0.4 +5^2*0.25 +6^2*0.28= 23.36$

And the variance is given by:

$Var(X) = E(X^2) +[E(X)]^2 = 23.36 -[4.74]^2 = 0.8924$

And the deviation would be:

$Sd(X) =\sqrt{0.8924} =0.9447$

3 0

4 years ago

(08.05)

Bumek [7]

Answer:

Step-by-step explanation:

To get the average of 5 tests you add up all five scores then you divide it by 5.

Multiply 90 by 5 to get 450 then subtract all the other test scores to get 96. That's your answer.

4 0

3 years ago

Read 2 more answers

Wat is the answer to5n-16-8n=-10

stiks02 [169]

N=<span>−<span>2 is the answer and tell me if you need the steps </span></span>

4 0

4 years ago

Read 2 more answers