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sleet_krkn [62]
4 years ago
9

Max is making slime. The directions say he needs 4 parts water to one part glue. How much glue would he need for 1 part of water

?
Mathematics
2 answers:
MAVERICK [17]4 years ago
8 0

Step-by-step explanation:

4 parts of water is to 1 part of glue

Then 1 part of water is to 1/4 parts of glue.

Dahasolnce [82]4 years ago
3 0

Answer:

He will need .25 of glue

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babymother [125]
I don’t understand it
5 0
3 years ago
Helppp me with this question I’m so behind with school !
ololo11 [35]

Answer:

Step-by-step explanation:

Congruent triangles:

We can prove AZ ≅ BX using A S A congruent.

 Statement                          Reason

 ∠X ≅ ∠Z                                Given

 XY ≅ ZY                                Given

∠Y ≅ ∠Y                                 Reflexive property

ΔXYB ≅ ΔZYA                         Angle Side Angle congruent

AZ ≅ BX                 CPCT {Corresponding Parts of Congruent Triangle}

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3 0
2 years ago
Thickness measurements of ancient prehistoric Native American pot shards discovered in a Hopi village are approximately normally
Svetradugi [14.3K]

Answer:

a) 0.0985 = 9.85% probability that the thickness is less than 3.0 mm.

b) 0.0582 = 5.82% probability that the thickness is more than 7.0 mm.

c) 0.8433 = 84.33% probability that the thickness is between 3.0 mm and 7.0 mm.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions 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.

Normally distributed, with a mean of 4.8 millimeters (mm) and a standard deviation of 1.4 mm.

This means that \mu = 4.8, \sigma = 1.4

a) the thickness is less than 3.0 mm.

This is the pvalue of Z when X = 3. So

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

Z = \frac{3 - 4.8}{1.4}

Z = -1.29

Z = -1.29 has a pvalue of 0.0985

0.0985 = 9.85% probability that the thickness is less than 3.0 mm.

b) the thickness is more than 7.0 mm.

This is 1 subtracted by the pvalue of Z when X = 7. So

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

Z = \frac{7 - 4.8}{1.4}

Z = 1.57

Z = 1.57 has a pvalue of 0.9418

1 - 0.9418 = 0.0582

0.0582 = 5.82% probability that the thickness is more than 7.0 mm.

c) the thickness is between 3.0 mm and 7.0 mm.

This is the pvalue of Z when X = 7 subtracted by the pvalue of Z when X = 3. From questions a and b, we have these pvalues. So

0.9418 - 0.0985 = 0.8433

0.8433 = 84.33% probability that the thickness is between 3.0 mm and 7.0 mm.

4 0
3 years ago
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nataly862011 [7]
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3 years ago
What is -8 additive inverse
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The answer is eight.....
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