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Citrus2011 [14]
3 years ago
10

Some body help me out??

Mathematics
1 answer:
Alenkasestr [34]3 years ago
7 0

Answer:

What?

am sorry : (

Step-by-step explanation:

are noo

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HELP PLZ IT IMPORTANT.
azamat

Answer:

14 sq inches

Step-by-step explanation:

you have the top and bottom = 2

then 3 * 4 for the sides, front, and back = 12

add them together and you have 14

thats for the parts you can see on the outside. i hope i did this right

8 0
3 years ago
Joanna is reading a storybook. The ratio of the number of pages she read to
konstantin123 [22]

Answer:

The amount of pages that remain to be read is <u>150 pages</u>

Step-by-step explanation:

Okay if we know it's in 7:3 ratio we can easily add them both to get 10, then divide 10 by 500 to get 50. SO we now know that 50 is 1 unit and since the ratio says 3 units is the answer, we multiply 50 by 3 to get 150.

3 0
3 years ago
The average score of all golfers for a particular course has a mean of 71 and a standard deviation of 3. Suppose 36 golfers play
Zielflug [23.3K]

Answer:

.0228

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 problem, we have that:

\mu = 71, \sigma = 3, n = 36, s = \frac{3}{\sqrt{36}} = 0.5

Find the probability that the average score of the 36 golfers exceeded 72.

This is 1 subtracted by the pvalue of Z when X = 72. So

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

By the Central Limit Theorem

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

Z = \frac{72 - 71}{0.5}

Z = 2

Z = 2 has a pvalue of 0.9772

1 - 0.9772 = 0.0228

7 0
3 years ago
3X+28+8=68<br> what does x equal <br> if right brainlist!!<br> also 15 points
Vlad1618 [11]

Answer:

3x+28+8=68

3x+36=68

     -36  -36

______________

3x=32

_______(divide by 3)

       3

x=32/3 or 10.6666666667

3 0
3 years ago
Read 2 more answers
What does 153.03=2.85h+73.23<br> A 28<br> B 2.8<br> C 24<br> D none of these
Dmitry_Shevchenko [17]

Answer:

A

Step-by-step explanation:

153.03 = 2.85h + 73.23

2.85h = 153.03 - 73.23

2.85h = 79.8

h = 79.8 ÷ 2.85

h = 28

6 0
3 years ago
Read 2 more answers
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