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Nezavi [6.7K]
2 years ago
11

I WILL GIVE YOU BRAINLIEST IF YOU ANSWER THIS CORRECTLY!!!!!!!

Mathematics
2 answers:
postnew [5]2 years ago
6 0

Step-by-step explanation:

a)42

b) triangle and Parallelogram

c) for triangle: (base× height)÷2

for Parallelogram: (base×height)

d) triangle: (6×6)÷2=18

Parallelogram: 6×4=24

18+24=42

if it is unclear or you need more explanation, ask freely. if the answer is correct please give me brainliest i need 3 brainliests

valkas [14]2 years ago
5 0

Answer:: A.) There are 15 full squares and 14 partial squares. It is not easy to count the partial squares. The top part has 6 half squares. They add up to 3. The partial squares at the bottom add up to 4. All together there are 42 full squares.

B.) there are two shapes: a right triangle at the top and a parallelogram at the bottom.

C.) The formula for the area of a triangle is A= bh/2. The Area of a parallelogram is A= bh.

D.) Using formulae-- A = 6×6/2

For the triangle part area is 18. For the parallelogram A = 6×4

That is 24. Adding the two shapes together, 18+24=42

Step-by-step explanation:

I hope this helps you! It's a challenge sometimes.

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3 years ago
The average amount of water in randomly selected 16-ounce bottles of water is 16.15 ounces with a standard deviation of 0.45 oun
vekshin1

Answer:

0.0179 = 1.79% probability that the mean of this sample is less than 15.99 ounces of water.

Step-by-step explanation:

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

Normal probability distribution

When the distribution is normal, we use 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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this question, we have that:

\mu = 16.15, \sigma = 0.45, n = 35, s = \frac{0.45}{\sqrt{35}} = 0.0761

What is the probability that the mean of this sample is less than 15.99 ounces of water?

This is the pvalue of Z when X = 15.99. So

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

By the Central Limit Theorem

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

Z = \frac{15.99 - 16.15}{0.0761}

Z = -2.1

Z = -2.1 has a pvalue of 0.0179

0.0179 = 1.79% probability that the mean of this sample is less than 15.99 ounces of water.

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-5x - 4y + 2x + 7y

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Factor out -3 from the expression

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