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Lina20 [59]
2 years ago
13

During a lab experiment, the temperature of a liquid changes from 625°F to 1034°F.

Mathematics
2 answers:
11111nata11111 [884]2 years ago
7 0

Answer:

39.56%

Step-by-step explanation:

1. 1034-625=409

2. 409/1034= 0.39555126

3. 0.39555126x100= 39.555126

4. Round: 39.56%

AVprozaik [17]2 years ago
3 0

Answer:

Its pretty simple its 39.56%

Step-by-step explanation:

1. 1034-625=409

2. 409/1034= 0.39555126

3. 0.39555126x100= 39.555126

4. Round: 39.56%

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Kitty [74]
Answer: D! :)

Explanation:
18 = 3/5(30)
18 = 18
6 0
2 years ago
HURRYY<br><br> Find the rate of change for the ramp represented in the graph
xeze [42]

Answer:1/3

Step-by-step explanation:

5/15

4 0
3 years ago
At Munder Difflin Paper Company, the manager Mitchell Short randomly places golden sheets of paper inside of 30% of their paper
Korvikt [17]

Answer:

90.67% probability that John finds less than 7 golden sheets of paper

Step-by-step explanation:

For each container, there are only two possible outcomes. Either it contains a golden sheet of paper, or it does not. The probability of a container containing a golden sheet of paper is independent of other containers. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

At Munder Difflin Paper Company, the manager Mitchell Short randomly places golden sheets of paper inside of 30% of their paper containers.

This means that p = 0.3

14 of these containers of paper.

This means that n = 14

What is the probability that John finds less than 7 golden sheets of paper?

P(X < 7) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4) + P(X = 5) + P(X = 6)

In which

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 0) = C_{14,0}.(0.3)^{0}.(0.7)^{14} = 0.0068

P(X = 1) = C_{14,1}.(0.3)^{1}.(0.7)^{13} = 0.0407

P(X = 2) = C_{14,2}.(0.3)^{2}.(0.7)^{12} = 0.1134

P(X = 3) = C_{14,3}.(0.3)^{3}.(0.7)^{11} = 0.1943

P(X = 4) = C_{14,4}.(0.3)^{4}.(0.7)^{10} = 0.2290

P(X = 5) = C_{14,5}.(0.3)^{5}.(0.7)^{9} = 0.1963

P(X = 6) = C_{14,6}.(0.3)^{6}.(0.7)^{8} = 0.1262

P(X < 7) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4) + P(X = 5) + P(X = 6) = 0.0068 + 0.0407 + 0.1134 + 0.1943 + 0.2290 + 0.1963 + 0.1262 = 0.9067

90.67% probability that John finds less than 7 golden sheets of paper

7 0
2 years ago
Find the square root of the cube of 10.3
abruzzese [7]
Taking a sqrt=taking a 1/2 power, so when you take a power of a power, you multiply them. So you’re finding 10.3^(3/2).

=33.056
5 0
3 years ago
Read 2 more answers
Pleaseee helppppp me pleaseeeee.
Bas_tet [7]

Answer:

x=2

y=10.5

z=2.3

w=1.75

Step-by-step explanation:

both sides of each scale have the same weight attached to them so you just have to solve the following equasitions for each scale: 3x+1=7 2y+10=31 2z+2.2=6.7 4w+3/2=17/2

6 0
2 years ago
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