How do you tell what has the largest standard deviation?
A standard deviation close to 0 indicates that the data points tend to be close to the mean (shown by the dotted line). The further the data points are from the mean, the greater the standard deviation.
How do you find the largest standard deviation?
The standard deviation is a measure of how far points are from the mean. The first histogram has more points farther from the mean (scores of 0, 1, 9 and 10) and fewer points close to the mean (scores of 4, 5 and 6). So it will have the larger standard deviation.
How do you find the largest and smallest standard deviation?
0:431:32Which Graph Has Larger Standard Deviation — YouTubeYouTubeStart of suggested clipEnd of suggested clipThere's not as many right at the mean. Here there's a lot of values right around the mean and whenMoreThere's not as many right at the mean. Here there's a lot of values right around the mean and when we get further away from the mean there's fewer. This has a small standard deviation.
Which set has largest standard deviation?
Data Set E Data Set E has the larger standard deviation. Sample answer: Data Set E has its highest concentration of data between class intervals 0 to 1 and 4 to 5, the class intervals that are farthest from the mean.
Which has the smaller standard deviation How do you know?
The standard deviation measures how concentrated the data are around the mean; the more concentrated, the smaller the standard deviation.
What does a large standard deviation suggest?
A large standard deviation indicates that the data points can spread far from the mean and a small standard deviation indicates that they are clustered closely around the mean.
What does a large standard deviation mean?
A standard deviation (or σ) is a measure of how dispersed the data is in relation to the mean. Low standard deviation means data are clustered around the mean, and high standard deviation indicates data are more spread out.
How do you determine standard deviation?
The steps in calculating the standard deviation are as follows:
- For each value, find its distance to the mean.
- For each value, find the square of this distance.
- Find the sum of these squared values.
- Divide the sum by the number of values in the data set.
- Find the square root of this.
26-Sept-2018