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Shkiper50 [21]
3 years ago
7

There was some chicks in 4 coops. How many chicks were in each coop?

Mathematics
2 answers:
Fittoniya [83]3 years ago
8 0
Need more info please!
kondaur [170]3 years ago
7 0

Answer:

There is not enough information to solve.

Step-by-step explanation:

We need to know how many chicks there were in total. Then, divide the total number of chicks by the 4 coops and that will be your answer.

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Find the quotient of -32/15 divided by -4/5
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Answer:

Step-by-step explanation:

-32/15/-4/5

-32/15*5/-4

-32*5/15*-4

-160/-60

8/3

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2 years ago
Solving quadratic equations by factoring <br> m(m-3)=0
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Because it has already been factored, we can solve it straight away. Now, since m is a variable, we yield the same result if m = 0 or m = 3 because we have two components to this equation.

We can either have m = 0 or m - 3 = 0
Hence, m is either 0 or 3
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3x-2y=10 solving equations
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Answer:

Step-by-step explanation:

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1 year ago
The measure of the angles of a triangle are in the extended ratio 17 : 16 : 12. what is the measure of the largest angle?
murzikaleks [220]
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8 0
3 years ago
Read 2 more answers
A psychologist treats 16 patients and records the number of sessions required to complete a behavioral therapy treatment for eac
RSB [31]

Hence, the standard deviation for these data is 7.1 sessions

In statistics, the standard deviation is a measure of the volatility or variance of a set of values. [1] A low standard deviation indicates that the values ​​tend to be close to the mean of the set (also known as the mean), and a high standard deviation indicates that the values ​​are more widely distributed. indicate.

Standard deviation can be abbreviated as SD, and in mathematical texts and equations, it is most commonly represented by the Greek lower σ (sigma) for population standard deviation or the Latin letter s for sample standard deviation. It is a target.

The standard deviation of a random variable, sample, population, dataset, or probability distribution is the square root of its variance. It's algebraically simple, but it's actually less robust than mean absolute deviation. A useful property of standard deviation is that, unlike variance, it is expressed in the same units as the data.

Expression

\ sigma = {\ sqrt {\ frac {\ sum (x_ {i}-{\ mu}) ^ {2}} {N}}}

\ sigma = Population standard deviation

N = size mother Population

x_i = Arbitrary value from population

\ mu = Population mean

Learn more about standard deviation   here: brainly.com/question/475676

#SPJ4

4 0
1 year ago
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