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Aneli [31]
3 years ago
14

Carrie buys 6.2 yards of blue fabric and 5.4 yards of red fabric.If the blue and red fabric costs the same amount per yard,and C

arrie pays $58 for all of the fabrics ,what is the cost per yard ?
Mathematics
2 answers:
Leya [2.2K]3 years ago
6 0

Answer:

$5 per yard


Step-by-step explanation:

Add 6.2 and 5.4

You get 11.6

Divide 11.6 by 58

The answer is 5

cluponka [151]3 years ago
3 0

Answer:

5.00 a yard

Step-by-step explanation:

5.4 + 6.2 = 11.6

58.00 divided by 11.6 =

5

5.00 a yard

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Find the slope a) -5, b) -1/5, c)5, d) 1/5,
Arturiano [62]

Answer:

The slope is a) -5.

Step-by-step explanation:

(-6, -4)

(-5, -9)

the difference in slope is \frac{-9 - (-4)}{-5 - (-6)} = \frac{-9 + 4}{-5 +6} =  \frac{-5}{1} = -5

7 0
3 years ago
Natalie has pounds of potatoes. She needs of that amount. How many pounds of potatoes does she need?
Savatey [412]
She will need 10 pounds
4 0
3 years ago
Need help please 50 minutes
Karolina [17]

I believe it's 3.75 x 10^5 (Sorry if I'm wrong)

6 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
Write 0.00052 in scientific notation.
Kamila [148]

10 over the power of negative 4

4 0
3 years ago
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