Sentences with phrase «deviation is the range»

One standard deviation is the range which includes 65 % of all scores, two standard deviations includes 95 % of all scores.

Not exact matches

Standard deviation simple tells us how much of a range there is around the average the majority of the time.

What this means is that, even though the S&P was down 1.22 percent in the first quarter, the decline was well within its expected range of one standard deviation, which occurs roughly 68 percent of the time.

In either case, the standard deviation or typical «range of error» is about + / - 2 %.

Develop modeling instincts so modelers know what assumptions are reasonable and likely to result in dependable results, and what parameter ranges are realistic to account for invariable deviations of reality from models.

The 17 - billion - solar - mass estimate for the central black hole in NGC 1600 is much more precise, with a range (standard deviation) of 15.5 to 18.5 billion solar masses.

Standard reference ranges are built to include two standard deviations from the median up and down for all people tested at a given reference labs.

If you take the average person around here who says, «Yeah, I'm healthy» and you take a plus or minus standard deviation, the bottom of your reference range would be probably like zero.

Both tests are scored on a scale of 0 - 1,000, with a mean of 500 and a standard deviation of 100; however, the true range of values lies between the 300s and the 600s.

The differences in performance are large, ranging from 15 percent (in science) to 25 percent (in math and reading) of a standard deviation.

The first column, FRPM 0 - 33 %, represents schools in wealthier communities; the far right column, FRPM > 89 %, represents high - poverty schools; and the middle column represents schools that are closer to the state average on the indicator, ranging from one standard deviation above to one standard deviation below the mean.

The differences are statistically significant, ranging from 17 percent to 22 percent of one standard deviation.»

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By doing so, we are better able to short - circuit our behavioral tendencies and recognize that near - term performance is well within the range of reasonably expected deviations the vast majority of the time.7 From this perspective, we can conclude that investors are better off doing nothing much of the time, as opposed to doing something, assuming that we have positive priors for the strategies we are evaluating.8

When a fund has a high standard deviation, its range of performance has been very wide, indicating that there is a greater potential for volatility.Higher the Standard Deviation higher the fluctuations / volatility indeviation, its range of performance has been very wide, indicating that there is a greater potential for volatility.Higher the Standard Deviation higher the fluctuations / volatility inDeviation higher the fluctuations / volatility in returns.

When a mutual fund has a high standard deviation, it means its range of performance is wide, implying greater volatility.

While the best runs of Closing Range are only 1.56 standard deviations away.

I would expect long - term stock returns to be in a range of 5.25 % real (15 % standard deviation * 0.35 Sharpe ratio) to 4 % real (2.2 % yield + 1.8 % real payout growth).

The reasonable range is calculated as + / - 1 standard deviation from the calculated benchmark using 10 year monthly rolling average returns over the 10 years to Oct» 15.

A high standard deviation indicates that the range is wide, implying greater potential for volatility.

Standard deviation is a statistical measure of the range of a portfolio's performance.

Over the interest rate range of 0 % to 30 %, the average absolute deviations from perfect doubling using the Rule of 72 was 2.794 %.

If a portfolio has an average expected return of 9.7 % and a standard deviation of 7.6 %, that means in 19 years out of 20 its annual return can be expected to range between — 6 % and 25 %.

There is very good consistency between past and future DGRs, which have similar medians, means, standard deviations, and ranges.

That study forecasts standard deviations for bonds in the 7 to 9 % range, which is a little higher than historical data.

These are ideal ranges; slight deviations are permissible.

The standard deviation of the residuals from a linear regression to annual averages 1975 - 2007 is 0.472, so we expect a range of variation of roughly + / - 0.94 deg.C from the long - term trend.

Applying six different models here, we estimate that CH4, NOx, CO and NMVOCs are respectively responsible for 44 ± 12 % (± 1 standard deviation range), 31 ± 9 %, 15 ± 3 % and 9 ± 2 % of the 1850s — 2000s ozone RF (Table 10).»

«Because T1 has no anthropogenic sulphate aerosol (ASA) forcing, its mean (Î 1/4 = 1.43 °C, median m = 1.38 °C) standard deviation (0.35 °C) and skewness (s = 0.80) are small, and its 90 % confidence interval 0.94 °C to 2.04 °C, is narrower and shifted toward smaller values than the IPCC range of 1.5 °C to 4.5 °C.

For instance, I'd like to know if the range and standard deviation of global temps is also increasing (I've asked this before).

There are any number of other statistics one can also use — the ratio of the standard deviation to the mean, the range, and so on.

In particular, there is now a vague but widespread sense that the entire range of 25 - 40 % for reductions in Annex I countries range is acceptable, and that «significant deviation from the baseline» might be attained by very modest developing country action.

These deviations from the traditional scientific process are brought about by a combination of strategies and tactics: professionalization of climate scientists, [39] the use of artificially constructed scientific consensus, [40] a wide range of rhetorical devices, [41] intimidating language, [42] «bullying» strategies, [43] political attacks, [44] and even civil and criminal litigation.

Why is range a preferable measure to standard deviation?

With the 1870 - 1950 range, my title of «to within a millikelvin» therefore is effectively claiming «to within five standard deviations.»

What substantive point are you trying to make here by insisting that I must have meant range instead of standard deviation?

Are you surprised that, having defined the starting point, and the error range, you can determine a standard deviation for a set of numbers generated on that basis?

By knowing what «normal» should be and the expected range of «wandering» above and below «normal», you can fine tune estimates of expected deviations from «normal» in a non-linear bi-stable system with recurrent decay patterns.

Data is shown with + / -3 sigma deviations, as all data within that range is considered a «normal» or Gaussian distribution.

Working from an ancient formula on optimal dam design he devised the equation: log (R / S) = K * log (N / 2) where R is the range of the time series, S is the standard deviation of year - to - year flood measurements and N is the number of years in the series.»

This range is constructed by computing the standard deviation (σ) of the 40 regression values at each grid box for each variable (SLP, SAT and P) based on detrended data during 1920 — 2012, and subtracting / adding these values (multiplied by two) from / to the ensemble mean regression value.

If we have prior knowledge that the real date is between 300 and 700 and if the red distribution tells the accuracy of determining the C14 data we know already before the collection of the data that we are likely to learn essentially nothing from measuring the C14 date, because the calibration line is close to horizontal over that range, horizontal enough to have all possible values within a range of less than one standard deviation of the empirical accuracy.

Investigate How big is a raindrop collect data and analyse mode, mean and median, range, interquartile range and standard deviation etc. - with thanks to Stephen Lyon at the National STEM centre.

As a rule of thumb the deviation of random garbage data should be 1/3 the range of temperature anomalies or 1/3 (0.4 --0.2) ~ 0.2 degrees.

I could be wrong, but I believe our normal temperature is somewhere in the range of 283 degrees Kelvin, and the normal deviation is around 2.5 degrees.

NSIDC is transitioning the sea ice extent time series graphs to show interquartile and interdecile ranges, with the median extent value, in place of standard deviations and the average values.

If we are not three standard deviations from the norm, we are still within the range of natural variation and there is no reason to look for any cause.

The 1981 - 2010 average is in dark gray, and the gray area around the average line shows the standard deviation range of the data.

The gray region shows the ± 2 standard deviation extent for that average; statistically speaking it's an expected range of extent (it's actually more subtle than that, but that's enough to understand what's going on here).