Find the mean, variance, and standard deviation

In summary, the conversation discusses finding the probability of exactly 3 girls in a family of 4 children, and then calculating the mean, variance, and standard deviation using both the binomial distribution method and the general probability distribution method. The appropriate equations for the binomial distribution are mentioned, along with the correct formula for finding the probability of 3 girls. Ultimately, the key to solving this problem lies in understanding the fundamental principles of equally likely outcomes.
  • #1
KatieLynn
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Homework Statement



If there are 4 children in a family, find the probability of getting exactly 3 girls. Find the mean, variance, and standard deviation. Use two different methods(binomial distribution method and general probability distribution method).

Homework Equations



Binomial distribution equations:
Mean=np
variance=npq
standard deviation= sq. root of variance

The Attempt at a Solution



mean= (4)(.75)=3

variance=(4)(.75)(.25)=.75

s.d.= .866

is that right?
 
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  • #2


Not quite - this is a guess, but you are using the value of [tex] 0.75 [/tex] as p because out of the four children, three are girls? If so, that's not correct.

With the information you are given you can only assume that
  1. Births of boys and girls are independent
  2. The probability a boy is born is [tex] 0.50 [/tex] and the probability a girl is born is [tex] 0.50 [/tex]

Your method of calculation to find the mean, variance, and standard deviation are correct, but the value of [tex] p [/tex] isn't (as pointed out above)

You can use the formula

[tex]
p(x) = C(4,x) p^x (1-p)^{4-x}
[/tex]

to find the probability of exactly three girls with the binomial distribution.

For the "fundamental principles" piece: write down all possible ways for there to be four children, and use basic principles of equally likely outcomes.
 

1. What is the difference between mean, variance, and standard deviation?

The mean is the average value of a set of numbers. The variance is a measure of how spread out the numbers are from the mean. Standard deviation is the square root of the variance and also measures the spread of the numbers from the mean.

2. How do you calculate the mean, variance, and standard deviation?

To find the mean, add all the numbers in a set and then divide by the total number of numbers. To calculate the variance, find the difference between each number and the mean, square each difference, add all the squares, and then divide by the total number of numbers. To find the standard deviation, take the square root of the variance.

3. What is the purpose of finding the mean, variance, and standard deviation?

These measures are used to describe the central tendency and spread of a set of data. They can help in understanding the data better and making comparisons between different sets of data.

4. Can the mean, variance, and standard deviation be affected by outliers?

Yes, outliers can greatly affect the mean, variance, and standard deviation. The mean is particularly sensitive to outliers, as it takes into account all the numbers in the set. The variance and standard deviation are also affected, as they are calculated using the mean.

5. Can the mean, variance, and standard deviation be negative?

The mean can be negative if the set of numbers contains negative values. However, the variance and standard deviation cannot be negative as they are squared values. A negative variance or standard deviation would indicate an error in the calculations.

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