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Amiraneli [1.4K]
3 years ago
9

I need help like asap thank youuu

Mathematics
1 answer:
zlopas [31]3 years ago
7 0

CD = √50

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Answer:

33/4 hope it helps youuuuuuuuu

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3 years ago
If Teri ran 8 kilometers. Which measurement of miles Teri ran
schepotkina [342]
There is 0.62137119 miles to 1 kilometer so 8 kilometers = 4.971 or (5 miles rounding) multiply 0.6 x 8 = 4.971 but u can sensibly say 5 miles
6 0
4 years ago
12 chickens lay 30 eggs eggs. What is the unit rate in eggs per chicken?​
Julli [10]

Step-by-step explanation:

The unit rate would be how many eggs one chicken lays

To do this, you would create a ratio

30:12 = x:1

30 = 12x         cross multiply

30/12 = 12x/12   isolate the variable

2.5 = x

The unit rate is 2.5:1 or \frac{5}{2} :1

I hope this helps!!!

5 0
3 years ago
X+4-3x=4+12x qual é o calculo e o resultado dessa operação
nikitadnepr [17]
No estoy completamente seguro de lo que exactamente hay que hacer aquí, así que voy a asumir que necesita para ser resuelto, por lo que la respuesta es x = 0 y me dieron esto mediante el uso de cálculos matemáticos simples en primer lugar simplificado, reordenado el Términos, combinado los términos similares que incluyeron x + -3x = -2x 4 + -2x = 4 + 12x entonces i añadió -4 a cada lado y así sucesivamente lo explicaría todo pero su mucho lol
6 0
4 years ago
Data from the Centers for Disease Control and Prevention indicate that weights of American adults in 2005 had a mean of 167 poun
sesenic [268]

Answer:

92.65% probability that the total weight in a random sample of 47 American adults exceeds 7500 pounds in 2005.

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 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:

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 sums the theorem can also be used, with mean n*\mu and standard deviation s = \sqrt{n}*\sigma

In this problem, we have that:

n = 47, \mu = 47*167 = 7849, s = \sqrt{47}*35 = 240

Use this information to estimate the probability that the total weight in a random sample of 47 American adults exceeds 7500 pounds in 2005.

This is 1 subtracted by the pvalue of Z when X = 7500. So

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

By the Central Limit Theorem

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

Z = \frac{7500 - 7849}{240}

Z = -1.45

Z = -1.45 has a pvalue of 0.0735

1 - 0.0735 = 0.9265

92.65% probability that the total weight in a random sample of 47 American adults exceeds 7500 pounds in 2005.

5 0
3 years ago
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