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Not possible to tell you without knowing how many students' there are, and what distribution you wish to use (i.e normal distribution, t-distribution etc...)

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Q: What is the middle 95 percent of students who drink five beers with a standard deviation of 01 and a mean of 07?
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Is the middle spread that is the middle 50 percent of the normal distribution is equal to one standard deviation?

false


How do you apply standard deviation to normal curve?

The distance between the middle and the inflection point is the standard deviation.


What is the range of the middle 68 percent of SAT scores with a mean of 1151 and a standard deviation of 194?

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Why is it a useful value to report standard deviation?

The standard deviation of a distribution is the average spread from the mean (average). If I told you I had a distribution of data with average 10000 and standard deviation 10, you'd know that most of the data is close to the middle. If I told you I had a distrubtion of data with average 10000 and standard deviation 3000, you'd know that the data in this distribution is much more spread out. dhaussling@gmail.com


What is a selection that eliminates individuals on both ends of the range and favors those in the middle?

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What percent of middle school students have a Facebook?

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Using mean of 6.375 and Standard deviation of 1.47 plot values on normal distribution?

Your middle point or line for the plot (mean) would be 6.375. Then you would add/subtract 1.47 from your mean. For example, one standard deviation would equal 6.375 + 1.47 and one standard deviation from the left would be 6.375 - 1.47


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Generally, the standard deviation (represented by sigma, an O with a line at the top) would be used to measure variability. The standard deviation represents the average distance of data from the mean. Another measure is variance, which is the standard deviation squared. Lastly, you might use the interquartile range, which is often the range of the middle 50% of the data.


How do you calculate mean median and standard deviation?

The mean is the sum of each sample divided by the number of samples.The median is the middle sample in a ranked list of samples, or the mean of the middle two samples if the number of samples is even.The standard deviation is the square root of the sum of the squares of the difference between the mean and each of the samples, such sum then divided by either N or by N-1, before the square root is taken. N is used for population standard deviation, where the mean is known independently of the calculation of the standard deviation. N-1 is used for sample standard deviation, where the mean is calculated along with the standard deviation, and the "-1" compensates for the loss of a "degree of freedom" that such a procedure entails.Not asked, but answered for completeness sake, the mode is the most probable value, and does not necessarily represent the mean such as in an asymmetrically skewed distribution, such as a Poisson distribution.