Simple sample variance problem

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In summary, the length of time for an airplane to obtain clearance for takeoff is a random variable Y = 4X + 2, where X has a density function of f(x) = 1/3 e^(-x/3) for x > 0. The variance of Y can be found by first calculating the expected value of X, which is 14 minutes, and then using the formula E(X^2) - (E(X))^2. The expected value of X^2 is 18, so the variance for X is 18 - (14)^2 = 4. Therefore, the variance of Y is (4^2)(4) = 64. This means that there is a
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maxsthekat
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The length of time, in minutes, for an airplane to obtain clearance for takeoff is a random variable Y = 4X + 2, where X has the density function:

f(x) = 1/3 e^(-x/3) for x > 0

Find the variance of Y.

-----

I found the expected value of X to be 14 minutes, which was correct. This means the variance for X will be: E(X^2) - E(X) = 18 - 14 = 4. Will the following work for the variance?

Var(Y) = (4^2)(4) = 64.

If so, what does that mean to have a "negative" take off time?

Thanks for your help! :)
 
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The variance is NOT "E(X^2)- E(x)" it is E(X^2)- (E(x))^2.
 

1. What is a simple sample variance problem?

A simple sample variance problem is a statistical problem that involves calculating the variance of a sample data set. Variance is a measure of how spread out the data points are from the mean. It is calculated by finding the average of the squared differences between each data point and the mean.

2. How is sample variance different from population variance?

Sample variance is calculated using a subset of data from a larger population, while population variance is calculated using all of the data points in a population. Sample variance is used to estimate the population variance and is typically denoted by s^2, while population variance is denoted by σ^2.

3. What is the formula for calculating sample variance?

The formula for calculating sample variance is: s^2 = Σ(x - x̄)^2 / (n-1), where x is each data point in the sample, x̄ is the mean of the sample, and n is the number of data points in the sample.

4. How is sample variance used in data analysis?

Sample variance is used to measure the variability or dispersion of a data set. It can help identify outliers and understand the spread of the data points. It is also used in hypothesis testing and determining the accuracy of statistical models.

5. What are some common challenges when solving simple sample variance problems?

Some common challenges when solving simple sample variance problems include dealing with large data sets, handling missing or incomplete data, and understanding the underlying assumptions of the variance calculation. It is important to carefully select the appropriate formula and method for calculating variance to ensure accurate results.

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