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kramer
3 years ago
11

Use algebra tiles to find (8x2+4)-(8x2+2)

Mathematics
1 answer:
vfiekz [6]3 years ago
5 0

Answer:

2

Step-by-step explanation:

(8x^2+4)-(8x^2+2)

8x^2+4-8x^2-2

4-2

2

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Fran has 7 sheets of paper for a coloring project. If she only uses 1/3of a sheet of paper per draing how many drawings can ahe
jok3333 [9.3K]
It would be 21 because 7 times 3 equals 21 and the way you get that is 3 drawings per paper
5 0
3 years ago
Consider the question of whether the home team wins more than half of its games in the National Basketball Association. Suppose
spayn [35]

Answer:

0.0037 = 0.37% probability that the home team would win 65% or more of its games in a simple random sample of 80 games

Step-by-step explanation:

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

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.

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.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

The home team therefore wins 50% of its games

This means that p = 0.5

Determine the probability that the home team would win 65% or more of its games in a simple random sample of 80 games

Sample of 80 means that n = 80 and, by the Central Limit Theorem:

\mu = p = 0.65

s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.5*0.5}{80}} = 0.0559

This probability is 1 subtracted by the pvalue of Z when X = 0.65. So

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

By the Central Limit Theorem

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

Z = \frac{0.65 - 0.5}{0.0559}

Z = 2.68

Z = 2.68 has a pvalue of 0.9963

1 - 0.9963 = 0.0037

0.0037 = 0.37% probability that the home team would win 65% or more of its games in a simple random sample of 80 games

7 0
3 years ago
Look at the right triangle in the diagram
Ivahew [28]

Answer:

I would say C

Step-by-step explanation:

7 0
3 years ago
I need help with questions 2-5
Daniel [21]

Answer: X^2-x-1=y

Step-by-step explanation:

Multiply every number inside the parentheses

(X+3)(x-4)

X^2-4x+3x-1

Add all similar numbers and we get

X^2-X-1

4 0
3 years ago
The length of an object in feet is equal to three times it's links in yards. The length of a waterslide is 48 feet. Right and so
disa [49]
Formula:

1 yard = 3 feet

x yards = 48 feet

Equation:


48 / 3 = x

 
3 0
3 years ago
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