Random Variables: Mean and Standard Deviation

In summary, the mean weight of a box containing 6 bags of chips would be 74.32 ounces and the standard deviation would be 0.493 ounces.
  • #1
SportsLover
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0

Homework Statement


The same potato chip company reports that their bags of family sized chips each follows an approx. Normal distribution with a mean of 10.72 ounces and a standard deviation of 0.2 ounces. If the company wants to ship these chips into boxes that contain 6 bags, what would be the mean and standard deviation of the total weight of a box containing 6 bags of chips? The empty boxes have a mean weight of 10 ounces and a standard deviation of 0.05 ounces

Homework Equations


Mean is affected by adding and multiplying
Standard Deviation is only affected by multiplying

The Attempt at a Solution


Mean = 10 +6(10.72)=74.32
Standard Deviation is where I am lost. I thought just 6(.2) but the answer is .493
 
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  • #2
The standard variation of the sum of two stochastic variables is not the sum of the standard variations. You neeed to look at the variance.
 
  • #3
SportsLover said:

Homework Statement


The same potato chip company reports that their bags of family sized chips each follows an approx. Normal distribution with a mean of 10.72 ounces and a standard deviation of 0.2 ounces. If the company wants to ship these chips into boxes that contain 6 bags, what would be the mean and standard deviation of the total weight of a box containing 6 bags of chips? The empty boxes have a mean weight of 10 ounces and a standard deviation of 0.05 ounces

Homework Equations


Mean is affected by adding and multiplying
Standard Deviation is only affected by multiplying

The Attempt at a Solution


Mean = 10 +6(10.72)=74.32
Standard Deviation is where I am lost. I thought just 6(.2) but the answer is .493
$$\text{Standard deviation} = \sqrt{\text{Variance}}.$$
What is the variance of a sum of independent random variables?
 

1. What is a random variable?

A random variable is a numerical quantity that can take on different values in a random manner. It represents the possible outcomes of a random experiment or process.

2. How is the mean of a random variable calculated?

The mean of a random variable is calculated by multiplying each possible value of the variable by its corresponding probability, and then summing these products together. This gives the expected value or average value of the random variable.

3. What does the standard deviation of a random variable represent?

The standard deviation of a random variable is a measure of how spread out or dispersed the values of the variable are from the mean. A higher standard deviation indicates a larger spread of values, while a lower standard deviation indicates a smaller spread.

4. Can the mean and standard deviation of a random variable be negative?

Yes, the mean and standard deviation of a random variable can be negative. This is especially true if the variable can take on both positive and negative values, or if the distribution of the variable is skewed.

5. How are the mean and standard deviation of a random variable affected by changes in the distribution?

The mean and standard deviation of a random variable are both affected by changes in the distribution. For example, if the distribution becomes more skewed, the mean and standard deviation may both change. Similarly, if there are extreme outliers in the data, this can also affect the mean and standard deviation.

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