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Is the middle spread that is the middle 50 percent of the normal distribution is equal to one standard deviation?
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∙ 11y ago
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∙ 11y ago
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What is the middle 95 percent of students who drink five beers with a standard deviation of 01 and a mean of 07?
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...)
How do you apply standard deviation to normal curve?
The distance between the middle and the inflection point is the standard deviation.
What are the z-score boundaries for the middle of 50 percent of the distribution?
50 * * * * * z = -0.67449 to z = +0.67449
What z score values form the boundaries for the middle 60 percent of a normal distribution?
z = - 0.8416 to z = + 0.8416
What is the median of the following distribution 10 7 5 11 8 6 9?
The median is the middle number when they are in order, so that is 8.
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 the middle 95 percent of students who drink five beers with a standard deviation of 01 and a mean of 07?
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...)
How do you apply standard deviation to normal curve?
The distance between the middle and the inflection point is the standard deviation.
Why is the standard deviation of a distribution of means smaller than the standard deviation of the population from which it was derived?
The reason the standard deviation of a distribution of means is smaller than the standard deviation of the population from which it was derived is actually quite logical. Keep in mind that standard deviation is the square root of variance. Variance is quite simply an expression of the variation among values in the population. Each of the means within the distribution of means is comprised of a sample of values taken randomly from the population. While it is possible for a random sample of multiple values to have come from one extreme or the other of the population distribution, it is unlikely. Generally, each sample will consist of some values on the lower end of the distribution, some from the higher end, and most from near the middle. In most cases, the values (both extremes and middle values) within each sample will balance out and average out to somewhere toward the middle of the population distribution. So the mean of each sample is likely to be close to the mean of the population and unlikely to be extreme in either direction. Because the majority of the means in a distribution of means will fall closer to the population mean than many of the individual values in the population, there is less variation among the distribution of means than among individual values in the population from which it was derived. Because there is less variation, the variance is lower, and thus, the square root of the variance - the standard deviation of the distribution of means - is less than the standard deviation of the population from which it was derived.
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
What is the z-values associated with the middle 44 percent of the standard normal distribution?
-0.772 < Z < 0.772
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.
What is the range of the middle 68 percent of SAT scores with a mean of 1151 and a standard deviation of 194?
1317 to 1705 1511+194= 1705 1511-194=1317
The weight of football players is normally distributed with a mean of 200 pounds and a standard deviation of 25 pounds. What is the minimum weight of the middle 95 percent of the players?
151 lbs
What is quartile deviational?
Quartile Deviation (QD)The quartile deviation is half the difference between the upper and lower quartiles in a distribution. It is a measure of the spread through the middle half of a distribution. It can be useful because it is not influenced by extremely high or extremely low scores. Quartile Deviation is an ordinal statistic and is most often used in conjunction with the median.why we calculating quartile deviation?
What is a selection that eliminates individuals on both ends of the range and favors those in the middle?
One standard deviation.
What are the z score boundaries for the middle of 50 percent of the distribution?
It is -0.6745 to 0.6745
