Jamal made a list of fractions and asked will to find the fraction written is simplest form.

Leona [35]

Answer:

each hamburger costs $3.50

Step-by-step explanation:

he spent $13 in total and bought one hot dog for $2.50 and 3 hamburgers but we don't know the price of one hamburger so we could represent it by the equaton,

2.50 + 3h = 13 now solve for x

-2.50 2.50

3h = 10.50

h=3.50

check:

2.50+3(3.50)=13

2.50+10.50=13

13=13

4 0

3 years ago

A piece of ribbon is cut into two shorter pieces in the ratio 2.8 : 1.25. The difference in the length of the two shorter pieces

skelet666 [1.2K]

You can use Mathaway it's really easy and solves ur problems

5 0

3 years ago

Suppose that among all U.S. Students, 80% have gone to an amusement park and 45% have gone to a beach. Only 15% have done neithe

valentinak56 [21]

Answer:

5%

Step-by-step explanation:

Let x represent the percentage of people that have gone to both the park and the beach.

The percentage of people that have gone only to the amusement park = 80% - x% = 80 - x

The percentage of people that have gone only to the beach = 45% - x% = 45 - x

Therefore:

100% = (80 - x) + (45 - x) + (x) + (15)

100 = 80 + 45 + 15 -x - x + x

100 = 140 - x

x = 140 - 100

x = 40%

Therefore 40% of the students have gone to both the park and the beach.

The probability that the student has gone to the beach but not to an amusement park = 45% - 40% = 5%

5 0

2 years ago

Help with these 2 questions pls

wariber [46]

Answer:

6 .

4X + 2 + X = 8X +2 -3X

5X+2=5X+2

0=0

The two sides of the equation are always equal ,so 3 or any other number can be a solution for it .

7.

6X+6-3X+6= X+4

3X+12= X+4

2X= -8

X= -4

Hope it was helpful .

5 0

2 years ago

Read 2 more answers

Answer for all please

malfutka [58]

Answer:

a) 'X' be the random variable in discrete distribution

b) The value of y = 0.2

c) The mean value or Expectation value

E (X) = 1.25

d)

The variance σ² of the discrete distribution function is

Variance ( V(x)= 1.2875

Step-by-step explanation:

Step(i):-

Given data

x : 0 1 2 3 4

P(x) : 0.30 0.35 y 0.10 0.05

a)

Let 'X' be the random variable in discrete distribution

Given data is discrete distribution

i) If the numbers $p(x_{i} )\geq 0$ for all values of 'i'

ii) ∑P(x) = 1

Given data $p(x_{i} )\geq 0$ for all values of 'i'

∑P(x) = 1

0.30+0.35+y+0.10+0.05 =1

y + 0.8 = 1

y = 1 -0.8 = 0.2

b) The value of y = 0.2

Step(ii):-

Expectation:

Given data

x : 0 1 2 3 4

P(x) : 0.30 0.35 0.2 0.10 0.05

The mean value or Expectation value

E (x) = ∑ x p ( X = x)

= 0 × 0.30 + 1 × 0.35 + 2 × 0.2 + 3 × 0.10 + 4 × 0.05

= 0 + 0.35 + 0.4 + 0.30 + 0.2

= 1.25

Variance of X

The variance σ² of the discrete distribution function is defined by

σ² = ∑ x² p(x=x) - μ²

= 0× 0.30 + 1² × 0.35 + 2²× 0.2 +3²× 0.10 + 4²× 0.05 - (1.25)²

= 0 + 0.35 + 0.8 + 0.9 + 0.8 - 1.5625

= 1.2875

conclusion:-

The mean value or Expectation value = 1.25

The variance σ² of the discrete distribution function

V(X) = 1.2875

3 0

3 years ago