Calculating Moments of Distribution: Finding the Moment About 10

In summary, The mean of the distribution is 5. The second and third moments about the mean are 20 and 140 respectively. To find the moment of the distribution about 10, the binomial theorem and taking averages can be used. The second moment around a value b can be found by adding the second moment around the mean a and the square of the difference between the two values. For the third moment, a similar expansion can be carried out.
  • #1
kidia
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I have a question here I will appreciate for any idea,The mean of distribution is 5.The second and third moments about the mean are 20 and 140 respectively.Find the moment of the distribution about 10.
 
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  • #2
All you need to do is use the binomial theorem and take averages.
For the second moment we have
(x-b)2=(x-a+a-b)2
=(x-a)2+2(x-a)(a-b)+(a-b)2

Now assume a is the mean and b is some other value, and take averages.
We the get:
Second moment around b=second moment around a +(a-b)2
(Note that x average =a).

For the third moment, carry out a similar expansion.
 
  • #3


To find the moment of a distribution about a specific value, we can use the formula:

Moment about x = (x - mean)^n * frequency

In this case, we are looking for the moment about 10, so x = 10. The mean of the distribution is given as 5, so we have:

Moment about 10 = (10 - 5)^n * frequency

To find the frequency, we need to use the second and third moments about the mean. We can use the formula:

Second moment about mean = mean^2 + variance

Third moment about mean = mean^3 + 3 * mean * variance + skewness

In this case, we have the second moment about the mean as 20 and the third moment about the mean as 140. We can solve for the variance and skewness using these values:

Variance = 20 - 5^2 = 20 - 25 = -5
Skewness = 140 - 5^3 - 3 * 5 * (-5) = 140 - 125 + 75 = 90

Now, we can plug these values into our formula for frequency:

Frequency = (x - mean)^n * (mean^2 + variance) = (10 - 5)^n * (5^2 - 5) = 5^n * 20

Substituting this into our formula for the moment about 10, we have:

Moment about 10 = (10 - 5)^n * frequency = 5^n * (5^n * 20) = 100 * 5^n

Therefore, the moment of the distribution about 10 is 100 * 5^n.
 

1. What is the moment of distribution?

The moment of distribution refers to the point in time when a substance, such as a drug or chemical, reaches its peak concentration in the body.

2. How is the moment of distribution determined?

The moment of distribution is determined by measuring the concentration of the substance in the body at different time points after administration and plotting it on a graph. The point at which the concentration reaches its maximum is considered the moment of distribution.

3. Why is the moment of distribution important in scientific research?

The moment of distribution is important because it helps researchers understand how a substance is distributed and metabolized in the body. This information is crucial for determining the effectiveness and potential side effects of a drug or chemical.

4. What factors can affect the moment of distribution?

The moment of distribution can be affected by various factors such as the route of administration, the properties of the substance, and the individual's metabolism and physiological characteristics. Age, gender, and health conditions can also play a role in the moment of distribution.

5. How does the moment of distribution relate to drug dosing?

The moment of distribution is important for determining the appropriate dosage of a drug. If the moment of distribution is known, the drug can be administered at the optimal time to achieve the desired therapeutic effect. This can help avoid potential under or overdosing of the drug.

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