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leva [86]
3 years ago
8

Least to greatest 2.3 2 4/5 2.6

Mathematics
1 answer:
Volgvan3 years ago
5 0
2.3 is smaller than 2.6: we can see it just by looking at the digits from left to right.

now, where does 2\frac{4}{5} stand?

 its fraction part is equal to

\frac{4*2}{5*2}=  \frac{8}{10}

do that means that 2\frac{4}{5}=2.8

which is bigger than 2.6

so the final order is

2.3 2.6 2\frac{4}{5}




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What is the sum of the zeros of the function: y= x^2 - 5x + 6?
yawa3891 [41]

Answer:

Step-by-step explanation:

The zeros are the values of x for which y = 0

Quadratic formula

x = [5 ± √(5² – 4·1·6)] / [2·1]

 = [5 ± √1] / 2

 = [5 ± 1] /2

 = 2, 3

sum of zeros = 5

7 0
3 years ago
Write an expression for the area of this sweetuare
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Length = x + y

Area of a square = Length x Length

The expression can be :

1)  Area of the square = (x + y)(x + y) 

2) Area of the square = (x + y)²

3) Area of the square = x² + 2xy + y²
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3 years ago
What is the solution of the linear-quadratic system of equations?<br> y=x^2+5x−3<br> y−x=2
Vsevolod [243]

Answer:

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Step-by-step explanation:

Point Form:

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4 0
2 years ago
Read 2 more answers
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
2 years ago
Store A sells 12 juice bottles for $4 and store B sells 18 juice bottle for $6. Are the rates equivalent? explain your reasoning
mamaluj [8]

Answer:

Yes!

The rate can be expressed by the ratio 3:1

For every 3 bottles, its $1

For every 6 bottles, its $2

For every 12 bottles its $4

and for every 18 bottles its $6

The juice's are equivalent because the ratio of number to bottles to dollars is equal.

Step-by-step explanation:

7 0
3 years ago
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