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approximately 32nd percentile

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Q: A score of -1 standard deviation represents what percentile rank approximately?
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Related questions

What is percentile deviation?

A standard deviation in statistics is the amount at which a large number of given values in a set might deviate from the average. A percentile deviation represents this deviation as a percentage of the range.


A score of 0.60 standard deviation represents what score of percentile?

It depends on the underlying distribution. If Gaussian (standrad normal) then the percentile is 77.


Is sigma the same thing as standard deviation?

The lower case sigma character (σ) represents standard deviation.


What percentile does a score of 351.5 on MAT equate to?

The Miller Analogies Test scores have a mean of 400 and a standard deviation of 25, and are approximately normally distributed.z = ( 351.5 - 400 ) / 25 = -1.94That's about the 2.6 percentile.(Used wolframalpha.com with input Pr [x < -1.94] with x normally distributed with mean 0 and standard deviation 1.)


What percentile rank would you be in if you scored a 720 on the GRE when the mean equals 500 and the standard deviation equals 100?

You would be in the 99th percentile (98.61, to be more precise).


How much is 84 percentile equals mean plus 1 standard deviation or mean plus 1.4 standard deviation. Can you give me reference also please?

The cumulative probability up to the mean plus 1 standard deviation for a Normal distribution - not any distribution - is 84%. The reference is any table (or on-line version) of z-scores for the standard normal distribution.


What are the assumptions of standard deviation?

The standard deviation is the standard deviation! Its calculation requires no assumption.


What does the sample standard deviation best estimate?

The standard deviation of the population. the standard deviation of the population.


What should standard deviation bars represent in a graph - one or two times the standard deviation?

A band of 1 SD will represents about 68% confidence whereas 2 SD represents around 95%. Since the latter is often used for hypothesis testing, it may be better to use 2 SD.


What percentage of the data falls outside 1 standard deviation of the mean?

One standard deviation for one side will be 34% of data. So within 1 std. dev. to both sides will be 68% (approximately) .the data falls outside 1 standard deviation of the mean will be 1.00 - 0.68 = 0.32 (32 %)


How do you calculate standard deviation without a normal distribution?

You calculate standard deviation the same way as always. You find the mean, and then you sum the squares of the deviations of the samples from the means, divide by N-1, and then take the square root. This has nothing to do with whether you have a normal distribution or not. This is how you calculate sample standard deviation, where the mean is determined along with the standard deviation, and the N-1 factor represents the loss of a degree of freedom in doing so. If you knew the mean a priori, you could calculate standard deviation of the sample, and only use N, instead of N-1.


If quartile deviation is 24. find mean deviation and standard deviation?

Information is not sufficient to find mean deviation and standard deviation.


What is the difference between standard error of mean and standard deviation of means?

Standard error of the mean (SEM) and standard deviation of the mean is the same thing. However, standard deviation is not the same as the SEM. To obtain SEM from the standard deviation, divide the standard deviation by the square root of the sample size.


Which measure of dispersion represents variation from the mean?

Are you talking of this in means of Statistics? If you are, then the variation from the mean is measured in standard deviation.


How do you find percentiles when given standard deviation and mean?

Each standard deviation represents a certain percentile. So if we use two decimal places, &minus;3 is the 0.13th percentile, &minus;2 the 2.28th percentile, &minus;1 the 15.87th percentile, 0 the 50th percentile , +1 the 84.13th percentile, +2 the 97.72th percentile, and +3 the 99.87th percentile.The mean, median and mode are all the same it the distribution is normal.BUT WHY DOES THIS WORK? HOW DO YOU DO IT?The main idea to make all this work and understandable is that the area under the normal curve is one. So if you have a SD and a mean, you can find the z score.Then, using a calculator, or a table, or even sometimes just some rules you may have learned like the empirical rule, you can find the area to the left or right of any given z score. This area is actually a percentile!So for example, if convert a data point to a z - score using the mean and standard deviation ( The formula is z=(x-mean)/standard deviation, by the way), and I look up the probability of that z-score, and say it is .25. Then it is the 25th percentile.The table below gives you all the percentiles and their corresponding z scores.z-score percentile for normal distributionPercentilez-ScorePercentilez-ScorePercentilez-Score1-2.32634-0.412670.442-2.05435-0.385680.4683-1.88136-0.358690.4964-1.75137-0.332700.5245-1.64538-0.305710.5536-1.55539-0.279720.5837-1.47640-0.253730.6138-1.40541-0.228740.6439-1.34142-0.202750.67410-1.28243-0.176760.70611-1.22744-0.151770.73912-1.17545-0.126780.77213-1.12646-0.1790.80614-1.0847-0.075800.84215-1.03648-0.05810.87816-0.99449-0.025820.91517-0.954500830.95418-0.915510.025840.99419-0.878520.05851.03620-0.842530.075861.0821-0.806540.1871.12622-0.772550.126881.17523-0.739560.151891.22724-0.706570.176901.28225-0.674580.202911.34126-0.643590.228921.40527-0.613600.253931.47628-0.583610.279941.55529-0.553620.305951.64530-0.524630.332961.75131-0.496640.358971.88132-0.468650.385982.05433-0.44660.412992.326


What is standard deviation of 155.45?

The standard deviation is 0.


What number represents the fifth percentile of days spent waiting for a kidney With a mean of 209 days a standard deviation of 25.9 days?

The answer depends on the underlying distribution of the waiting time. There is nothing in the question which gives ant reason to believe that the distribution of waiting times is symmetrical as opposed to positive skewness. In reality, if a match is not identified early on it is because there are special requirements. And in that case the distribution of waiting times can be very skewed and estimates of mean and standard deviation are far from sufficient to answer the question.


What is the standard deviation of a standard normal distribution?

The standard deviation in a standard normal distribution is 1.


What is the standard deviation of 9?

You need more than one number to calculate a standard deviation, so 9 does not have a standard deviation.


In the standard normal distribution the standard deviation is always what?

The standard deviation in a standard normal distribution is 1.


What is the definition of standard deviation?

Standard deviation is how much a group deviates from the whole. In order to calculate standard deviation, you must know the mean.


What is the square of the standard deviation called?

The square of the standard deviation is called the variance. That is because the standard deviation is defined as the square root of the variance.


In Statistics what is a quantity that measures the variation of a population or sample relative to its mean?

Inter-quartile range, other percentile ranges, mean absolute variation, variance, standard error, standard deviation are all possible measures.


What measures are used to describe variability?

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.


Can a standard deviation of a sample be equal to a standard deviation of a population?

Yes