What is an example of when you might want a large standard deviation? That is, data is spread out?

Expert Solution

Example of data with high standard deviation:

A dog walker wants to determine if the dogs on his route are close in weight or not close in weight. He takes the average of the weight of all ten dogs. He then calculates the variance, and then the standard deviation. His standard deviation is extremely high. This suggests that the dogs are of many various weights, or that he has a few dogs whose weights are outliers that are skewing the data.

orchestra answered 2 years ago

What is an example of when you might want a large standard deviation? That is, data...

What is an example of when you might want a large standard deviation? That is, data that is more spread out?

a. What is an example of when you would want consistent data and, therefore, a small standard deviation?

a. What is an example of when you would want consistent data and, therefore, a small standard deviation? b. What is an example of when you might want a large standard deviation? That is, data that is more spread out?

1. What is an example of when you would want consistent data and, therefore, a small standard deviation?

1. What is an example of when you would want consistent data and, therefore, a small standard deviation?2. What is an example of when you might want a large standard deviation? That is, data that is more spread out?

What is an example of when you would want consistent data and, therefore, a small standard...

What is an example of when you would want consistent data and, therefore, a small standard deviation and what is an example of when you might want a large standard deviation?

1a. What is an example of when you would want consistent data and, therefore, a small...

1a. What is an example of when you would want consistent data and, therefore, a small standard deviation? b. What is an example of when you might want a large standard deviation? That is, data that is more spread out?

Provide an example of when you might want to take a stratified random sample instead of...

Provide an example of when you might want to take a stratified random sample instead of a simple random sample and explain what the advantages of a stratified sample might be

We have seen that the standard deviation σ measures the spread of a data set about...

We have seen that the standard deviation σ measures the spread of a data set about the mean μ. Chebyshev's inequality gives an estimate of how well the standard deviation measures that spread. One consequence of this inequality is that for every data set at least 75% of the data points lie within two standard deviations of the mean, that is, between μ − 2σ and μ + 2σ (inclusive). For example, if μ = 20 and σ = 5,...

What measure of the center and spread should be used for the Pulse Rate data? The mean and standard deviation, or the Median and the IQR? Explain,

StatisticsVariableMeanStDevMinimumQ1MedianQ3MaximumRangeIQRPulse Rate (bpm)77.1012.6860.0068.0076.0080.00124.0064.0012.00What measure of the center and spread should be used for the Pulse Rate data? The mean and standard deviation, or the Median and the IQR? Explain,

The formula for a sample Standard Deviation is Say we want to use standard deviation as...

The formula for a sample Standard Deviation is Say we want to use standard deviation as a way of comparing the amount of spread present in each of two different distributions. What is the effect of squaring the deviations? (1 mark) How does this help us when we compare the spreads of two distributions? (1 mark) With reference to the formula and the magnitude of data values, explain why introducing an outlier to a dataset affects the Standard Deviations more...

You want to see graphically the effect of changing the standard deviation of a Normal distribution....

You want to see graphically the effect of changing the standard deviation of a Normal distribution. Let μ = 100 for both distributions, but let σ = 10 for one and σ = 16 for the other distribution. Recall that for each distribution the first value should be 3σ below the mean of 100, and the last value should be 3σ above the mean of 100. When MINITAB creates the X values for you, for both distributions this time set...

Question