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allsm [11]
3 years ago
12

The volume of a cube is 512 cm on the side length of the cube and drag the correct length to the empty box

Mathematics
1 answer:
ddd [48]3 years ago
8 0

Answer:

a = 8 cm

General Formulas and Concepts:

<u>Pre-Algebra</u>

Order of Operations: BPEMDAS

  1. Brackets
  2. Parenthesis
  3. Exponents
  4. Multiplication
  5. Division
  6. Addition
  7. Subtraction
  • Left to Right  

Equality Properties

  • Multiplication Property of Equality
  • Division Property of Equality
  • Addition Property of Equality
  • Subtraction Property of Equality<u> </u>

<u>Geometry</u>

Volume of a Cube Formula: V = a³

  • <em>a</em> is a side length

Step-by-step explanation:

<u>Step 1: Define</u>

<em>Identify variables</em>

<em>V</em> = 512 cm³

<u>Step 2: Find </u><em><u>a</u></em>

  1. Substitute in variables [Volume of a Cube Formula]:                                    512 cm³ = a³
  2. [Equality Property] Cube root both sides:                                                      8 cm = a
  3. Rewrite:                                                                                                             a = 8 cm
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Answer:

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Step-by-step explanation:

To solve this problem, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are 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:

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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.

Central limit Theorem

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

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What is the level L such that there is probability only 0.01 that the mean glucose level of 6 test results falls above L ?

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