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3 years ago

convert the repeating decimal to an improper fraction or mixed number. Include your work in your final anwser 152

1 answer:

8 0

If you mean .152 bar as in .152152152.....then let x=.152 then:

1000x-x=152.152-.152

999x=152

x=152/999 (this cannot be reduced any further as they have no common primes)

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If a passanger is sellected at random, what is the probability that the passenger was female and survived

Jet001 [13]

??? Depends on how many people are there

3 0

3 years ago

QUICK !<br> What is the image point of (5,-5) after a translation right 2 units and up 3 units ?

faust18 [17]

Answer:

(7,-2)

Step-by-step explanation:

First, you move to the right of y-axis like 5 to 7,

then you movie to the up of x-axis like -5 to -2.

So the answer was (7,-2)

5 0

3 years ago

Which point on the graph shows the price of 6 ounces of cheese? Use the formula y=x÷2 to find y when x is 6.

RSB [31]

The value of y is 3 when x is 6.

Solution:

The given table is the amount of cheese in ounces and the cost price.

Let x represents the amount of cheese and y represents the cost price.

The formula which derived from the table is y = x ÷ 2.

That is $$y=\frac{x}{2}$ .

<u>To find the value of y when x is 6:</u>

$$y=\frac{x}{2}$

Substitute x = 6 in the formula, we get

$$y=\frac{6}{2}$

y = 3

Hence the value of y is 3 when x is 6.

7 0

3 years ago

$27 for four large pizzas or $32 for five large pizzas?

diamong [38]

Answer:

$32 for five large pizzas.

Step-by-step explanation

Well, 27 ÷ 4 = 6.75 per pizzas. 32 ÷ 5 = $6.4 per pizza. For five, you pay less.

Your welcome °ω°

4 0

2 years ago

The Director of Admissions at Kinzua University in Nova Scotia estimated the distribution of student admissions for the fall sem

VMariaS [17]

Answer:

Variance = 24900

Standard Deviation = 157.7973

Step-by-step explanation:

We are given the following in the question:

Number of admissions: 1000 1200 1500

Admissions Probability: 0.6 0.3 0.1

Formula:

$E(x) = \displaystyle\sum x_iP(x_i)\\E(x) = 1000(0.6) + 1200(0.3) + 1500(0.1)\\E(x) = 1110\\E(x^2) = \displaystyle\sum x_i^2P(x_i)\\E(x^2) = (1000)^2(0.6) + (1200)^2(0.3) + (1500)^2(0.1)\\E(x^2) = 1257000$

Variance =

$\sigma^2 = E(x^2) - (E(x))^2\\\sigma^2 = 1257000 -(1110)^2\\\sigma^2 =24900$

Thus, the variance is 24900.

Standard Deviation =

$\sigma = \sqrt{\sigma^2} = \sqrt{24900} = 157.7973$

Thus, the standard deviation is 157.7973

7 0

3 years ago