Sentences with phrase «what standard deviation»

As a test of whether 1.5 mK is significant, one could ask what standard deviation can be achieved by replacing the three AGW parameters by seven new shape parameters (in addition to the three I used, thereby bringing the total number of shape parameters to ten).

I mean, Poisson corrections and so on aside, if we know what the standard deviation is, then the fact that this kind of problem tends to lead to large standard deviations is rather beside the point, isn't it?

So they usually want to know things like, what the correlation coefficient and beta was compared to the S&P 500, and what the standard deviation was compared to bonds over X time frame.

If you don't know what standard deviation means, that's fine.

This is a whole lesson to teach the basics of what the standard deviation is and how to calculate it.

Not exact matches

What's more, gold is looking oversold, down two standard deviations for the 60 - day period, which has historically signaled a good buying opportunity.

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.

We recently experienced another dislocation in the market where stocks and ETFs were showing prices that were, and I'm guessing here, a ridiculous amount of standard deviations away from what would be considered normal.

What the two groups have found is the beginnings of a detection «bump»: ATLAS team quotes a tentative result at 125 - 126GeV with a statistical significance of 3.6 σ (3.6 standard deviations); the CMS team finds one at 124GeV at a lower confidence level of 2.6 σ.

He exudes the fact that he's doing me the favor — and man, he really is — but I forge on, explain my story, and what I want to get out of all this: to finally know what makes Wisconsin college football's great exception, the success story beyond a standard deviation, the one team that has won almost as much as anyone over the last 25 years with talent far below its peers.

What variables do you use for the mean and standard deviation?

If your growth is within the extremes of normal limits 2 1/2 standard deviations above and below the mean, if anybody knows what that means, then we're happy.

What researchers called «a 1 standard deviation increase» in cumulative depression during early adolescence was associated with a 50 percent higher likelihood of cannabis - use disorder.

Toxicologists do a standard mathematical test, called the standard deviation, on such data to see whether the difference is what you might expect from random variation, or can be considered significant.

«From the brief report it is not clear what the levels of disease mtDNA are in the various tissues of the offspring, although the average is relatively low, nor is it clear whether the + / -0.92 % is standard deviation, standard error or a confidence interval, although we assume standard deviation.

What might the economic impact of a 0.08 standard deviation improvement in average achievement nationwide be?

After two years in a middle school, on average a student who entered in the 7th grade will score 0.10 standard deviations in math and 0.09 standard deviations in English below what we would expect if he had gone to a K — 8 school.

Another major difference lies in the fact that in market economies not be possible to achieve rationality in the operation of the economic system of a country because the state does not exercise with effective planning and control of the economy, while in state planned economies this rationality can be performed in the formulation of objectives (performance standards) either in the correction of deviations between what was planned and what was achieved through the action of the State.

However, to be democratic, it would be necessary, however, that the governance of these systems count on the active participation of the population and civil society organizations in formulating goals (performance standard) to be pursued, as well as in policy or decision rules seeking to correct deviations between what was planned and carried out.

It can be seen from the above, that the purpose of planning and control structure would be to prevent or minimize the occurrence of deviations between what was planned (standard system performance) and what was done (the output of system execution).

It is clear that in a capitalist mixed economy predominantly state or predominantly private, the rationality in the operation of the economic system of a country can only be achieved in formulating goals (performance standard) and correction of deviations between what was planned and what was achieved if the State act in the governance of the system as a regulator of economic activity and as a mediator between the capitalists and civil society ensuring its participation in government decisions.

This does NOT go into areas like the normal distribution and some other applications of finding the standard deviation, this is just the first lesson on basically learning what it is and how to find it.

The reading performance of students at the five schools was, on average, 18 percent of a standard deviation below what could have been expected had the schools been under district management, a difference that is statistically significant in three of the six years.

The problem with so - called difference - to - difference research design is that it can inflate what would otherwise be minor increases and decreases in standard deviations during the time periods measured.

What I understand is the Standard Deviation close to 1 is better (avoid extreme disbursement).

It will give you a dollar figure on what your portfolio stands to gain or lose by taking the standard deviation of your portfolio.

A question I have is what is the standard deviation of manager returns around the index from the data you have?

Because of the asset correlations, the total portfolio risk, or standard deviation, is lower than what would be calculated by a weighted sum.

You could take several college courses in market volatility and learn about standard deviation and implied vs. historical vs. relative volatility, but to trade on Nadex, you just need to know what volatility looks like in the movement of the price.

(What is Standard Deviation?

For implied volatility it is okey to use Black and scholes but what to do with the historical volatility which carry the effect of past prices as a predictor of future prices.And then precisely the conditional historical volatility.i suggest that you must go with the process like, for stock returns 1) first download stock prices into excel sheet 2) take the natural log of (P1 / po) 3) calculate average of the sample 4) calculate square of (X-Xbar) 5) take square root of this and you will get the standard deviation of your required data.

«If I say the standard deviation of your portfolio is 18 %, what do you suppose that means to the average investor?»

When you see academic studies analyzing how many stocks you need for proper diversification what they are usually measuring is a portfolio's expected standard deviation from the index.

What we can know is that a business is currently cheaper / more expensive based on earnings than another business, has grown faster over the last 10 years, or has maintained a lower stock price standard deviation.

I would wager that something approaching 2 standard deviations of the population haven't got a clue what a bell curve is, and who's scientific and mathematical understanding is so poor that you would have to take a good half hour of one on one time to get a majority of them to grasp what a bell curve is and how it can be interpreted, and some never will..

All the fanfare, yet the snow off expanse continues, the arctic sea ice continues several standard deviations below, and my regional weather is highly anomalous... whats more watching plants and everything else living outdoors, nature is to me in panic mode... let's also ignore the bark beetle in the US pine forests... it's ain't true they say, the lobotomized.

What is the reason for dividing by the standard deviation?

If you have a situation where you are pretty sure that the likelihood will beat down the tails of your distribution, then what you really want in an uninformative prior is one that maximizes your width rather than the extreme tails of the distribution — relatively high standard deviation and relatively low kurtosis.

And what is its standard deviation?

Also to help with context what is the average and standard deviation of the change in temperature from one year to the next?

So without a proper estimate of the standard deviation, what is the criterion?

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

You mention» standard deviation of a set of non-random numbers» The numbers were generated on a spreadsheet using Excel's random number generator so they the net result was what, in electronic terms, I would say was real data (signal) and unwanted randomness (noise).

Since Forster and Gregory specified a mean and a standard deviation (couched as a 95 % interval), then one can only take this at face value and assume a normal Gaussian, as that is what maximizes the entropy.

BTW, if they are abusing basic ideas like standard deviation, who knows what they are doing with the averages!

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).

You tuck the significant ones up in a Kalman filtering algorithm, run it backwards and forwards over the data to prime it, and you can predict what is going to happen and, at the same time, generate the standard deviation of your estimates.

The effect was profound when we only increased the standard deviation by a factor of 1.1 — what if it increases by a factor of 1.2 or even more?

Then what happened since 1850 is a rise of 4 standard deviations, that is unlikely at less than 0.1 % to be part of that previous oscillation.

If so, what is the standard deviation?