Statistics Standard Deviation Problem

In summary, standard deviation is a measure of how spread out the data is from the mean. It is used to understand the variability of data, identify outliers, and determine the most representative measure of central tendency. It is calculated by finding the square root of the variance, which is the average of the squared differences from the mean. A high standard deviation indicates a wide range of data, while a low standard deviation indicates data points are close to the mean. Standard deviation is important in statistics for providing a measure of data spread, allowing for comparisons between data sets, and being used in statistical analyses and models.
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yb1013
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Homework Statement


A jet engine manufacturer estimates that the chance of a “critical-item” failure within a jet engine’s afterburner module is approximately 1 in 220. What is the standard deviation of the number of launches, before a “critical-item” failure occurs within a jet engine’s afterburner module?


Homework Equations



I would guess that you would use the standard deviation equation, but I am not really understanding what to use when they give you "1 in 120"
Please Help?
 
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The Attempt at a SolutionI'm not sure what to do with the information given, so I don't know how to attempt this.
 

FAQ: Statistics Standard Deviation Problem

1. What is standard deviation in statistics?

Standard deviation is a measure of how spread out the data is from the mean. It is calculated by finding the square root of the variance, which is the average of the squared differences from the mean.

2. How is standard deviation used in data analysis?

Standard deviation is used to understand the variability or dispersion of a set of data. It helps to identify outliers and determine the most representative measure of central tendency. It is also used to calculate confidence intervals and perform hypothesis testing.

3. What is a high or low standard deviation?

A high standard deviation indicates that the data points are spread out over a wide range, while a low standard deviation indicates that the data points are close to the mean. The value of standard deviation is relative to the scale of the data, so it is important to compare it to other data sets to determine if it is high or low.

4. How do you calculate standard deviation?

The standard deviation is calculated by finding the square root of the variance. The variance is calculated by taking the sum of the squared differences between each data point and the mean, divided by the number of data points.

5. Why is standard deviation important in statistics?

Standard deviation is important because it provides a measure of the spread of data and helps to identify the most representative measure of central tendency. It also allows for comparisons between different data sets and is used in many statistical analyses and models.

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