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mash [69]
2 years ago
8

A jar contains 0.85 liter of strawberry juice and 0.50 liter of mango juice. Celina poured 0.15 liter of watermelon juice into t

he jar. She then drank 0.30 liter of the mixture.
Part A: Write an expression to represent the total amount of juice left in the jar.

Part B: Identify which property is used in each step to simplify the expression.
Mathematics
2 answers:
Vikentia [17]2 years ago
7 0

Hi,

Part A: .85 + .50 + .15 - .30 = 1.2

Part B: The addition and subtraction properties were used.

Sorry if I'm incorrect, have a great day!

steposvetlana [31]2 years ago
3 0

Original-drank+added=result

orignail=stwabery+mango+watermelon

original=0.85+0.50+0.15=1.5liter

drank=0.3

orignail-drank=result

1.5-0.3=drank=1.2liter

A. see above

B. addition and subtraction facts

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Answer:

X+y=237Litres

Step-by-step explanation:

Let a be mixture of milk and water.

Let x =milk

Let y= water

z = x+y

Final volume of mixture =63litres + z

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Find the value of w and YZ if Y is between X and Z. <br>XY = 4w YZ = 6W XZ = 12w - 8​
yulyashka [42]

Answer:

w = 4

YZ = 24

Step-by-step explanation:

Since, Y is a point lying between the points X and Z.

Therefore, relationship between the lengths of the segments will be,

length of segment XZ = length of XY + length of YZ

It's given in the question,

XZ = 12w - 8

YZ = 6w

XY = 4w

By substituting these values in the relation,

12w - 8 = 4w + 6w

12w - 8 = 10w

12w = 10w + 8

12w - 10w = 8

2w = 8

w = 4

Since, YZ = 6w

Therefore, YZ = 24

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3.30 Survey response rate. Pew Research reported in 2012 that the typical response rate to their surveys is only 9%. If for a pa
Artist 52 [7]

Answer:

0% probability that at least 1,500 will agree to respond

Step-by-step explanation:

I am going to use the binomial approximation to the normal to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

n = 15000, p = 0.09

So

\mu = E(X) = np = 15000*0.09 = 1350

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{15000*0.09*0.91} = 35.05

What is the probability that at least 1,500 will agree to respond

This is 1 subtracted by the pvalue of Z when X = 1500-1 = 1499. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{1499 - 1350}{35.05}

Z = 4.25

Z = 4.25 has a pvalue of 1.

1 - 1 = 0

0% probability that at least 1,500 will agree to respond

6 0
2 years ago
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