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Oduvanchick [21]
3 years ago
10

A pack of 6 red pens cost £2.76 what is the price per pen

Mathematics
2 answers:
jeyben [28]3 years ago
6 0
It’s £2.76 divided by 6 and it will equal £0.46
butalik [34]3 years ago
5 0
The price per pen would be 0.46 and here’s the work - hope this helped :)

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Please help!! Thanks in advance :)
Alisiya [41]

Answer:

180 plants  

Step-by-step explanation:

the area of a right triangle is: ab/2

side a = 8

side b = 15

8 x 15 = 120

120/2 = 60

Michael wants 3 plants for every square yard (multiply by 3)

60 x 3 = 180

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3 years ago
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Sheena was organizing items in a scrapbook she took 25 photos and divided them evenly between p pages which algebraic expression
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P divided by 25 that depends on how many pages there are on her scrapbook
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The average Act score follows a normal distribution, with a mean of 21.1 and a standard deviation of 5.1. What is the probabilit
ohaa [14]

Answer:

0.43% probability that the mean IQ score of 50 randomly selected people will be more than 23

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.

In this question:

\mu = 21.1, \sigma = 5.1, n = 50, s = \frac{5.1}{\sqrt{50}} = 0.7212

What is the probability that the mean IQ score of 50 randomly selected people will be more than 23

This is 1 subtracted by the pvalue of Z when X = 23. So

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

By the Central Limit Theorem

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

Z = \frac{23 - 21.1}{0.7212}

Z = 2.63

Z = 2.63 has a pvalue of 0.9957

1 - 0.9957 = 0.0043

0.43% probability that the mean IQ score of 50 randomly selected people will be more than 23

5 0
3 years ago
What is 100×3857×29473
marshall27 [118]
The answer is 11367736100!
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Answer:

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Step-by-step explanation:

hope this helps...

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