Sentences with phrase «using normal distribution»

Your point that using the normal distribution should be questioned is valid.

Specifically, this lesson is for teaching when to use the normal distribution as an approximation for a binomial distribution.

So, this suggests we can simply use a normal distribution with the given sigma value (0.05) to approximate the uncertainty distribution for each year.

Not exact matches

PJ is simply using the normal approximation to the binomial distribution.

The χ2 test was used to check for normal distribution of the data.

For variables with normal distribution, one way analysis of variance was used to compare mean values.

Using a mathematical model known as the Ising model, invented to describe phase transitions in statistical physics, such as how a substance changes from liquid to gas, the Johns Hopkins researchers calculated the probability distribution of methylation along the genome in several different human cell types, including normal and cancerous colon, lung and liver cells, as well as brain, skin, blood and embryonic stem cells.

In this particular case, the researchers used DESI mass spectrometry imaging to look at the distribution and amounts of fatty acid substances, called lipids, within breast tissue and normal tissue from 61 samples obtained from 14 breast cancer patients that underwent mastectomy.

Additionally, researchers examined prostate cells — normal and cancerous — using immunofluorescence, allowing them to visualize the distribution of the target molecule and look specifically at centrosomal abnormalities and growth patterns.

Using gravitational lensing as a cosmological probe, he described the distributions of normal and dark matter within galaxies, groups and clusters.

Confidence intervals for geometric mean AMA1 antibody levels (µg / mL) were estimated by using log10 - transformed values, calculating the 95 % confidence interval based on the normal distribution, and then converting the limits to the original scale for presentation.

Determination of transporter distributions and densities around select synapses in normal adult brains and how these parameters change during development, ageing, drug use and disease

A good example is if you try and fit a normal distribution to 10 data values using a flat prior for the variance... the final variance estimate you get is higher than anything that any of the standard methods will give you, and is really just nonsense: it's extremely biased, and the resulting predictions of the normal are much too wide.

Gaussian mixture models can be used to estimate such underlying normal distributions.

Normal distribution of change in sugar intake from sweet food / beverages was verified using a histogram.

This tutorial video looks at using Autograph to explore the Binomial and normal distributions, and the Central Limit Theorem.

Norm Dist 1 - explores how the mean and standard deviation effect the normal distribution function Norm Dist 2 - explores the probability distribution for a symmetrical two tailed event Norm Dist 3 - explores the probability of a general two tailed event You will need to allow macros to run when using most of the sheets available here.

* This estimate would be adequate to use if pension payments formed a normal distribution and there were no high or low outliers.

Worse is that this sometimes signals to the greater public that these «new and improved» teacher evaluation systems are being used for more discriminatory purposes (i.e., to actually differentiate between good and bad teachers on some sort of discriminating continuum), or that, indeed, there is a normal distribution of teachers, as per their levels of effectiveness.

Mini says the ALL4 uses front - wheel drive in normal driving conditions but adapts instantly to different driving conditions as its control unit continuously calculates the ideal distribution of power between the front and rear wheels.

Power distribution is fully variable: during normal driving the GLA 45 AMG uses front - wheel drive for optimal efficiency.

Power distribution is fully variable: during normal driving the GLA45 AMG uses frontwheel drive for optimal efficiency.

Power distribution is fully variable: in normal driving, the A 45 AMG uses front - wheel drive in the interests of optimum efficiency.

Power distribution is fully variable: in normal driving, the CLA 45 AMG uses front - wheel drive in the interests of optimum efficiency.

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Meanwhile, CreateSpace has recently started sending books directly to Amazon CA — something it used to farm out to Lightning through the Expanded Distribution Channel — and these copies are selling at normal prices.

As a long time investor I'm used to normal stock splits and year - end captial gains distributions affecting the apparent value of my portfolio.

I would conclude that returns do conform closer to normal distributions, but only when using a well - diversified portfolio and only when considering portfolio - level returns.

Confidence limits are determined by using these standard deviations and assuming a normal distribution.

Given that impacts don't scale linearly — that's true both because of the statistics of normal distributions, which imply that (damaging) extremes become much more frequent with small shifts in the mean, and because significant breakpoints such as melting points for sea ice, wet - bulb temperatures too high for human survival, and heat tolerance for the most significant human food crops are all «in play» — the model forecasts using reasonable emissions inputs ought to be more than enough for anyone using sensible risk analysis to know that we making very bad choices right now.

The problem in New England, which has resulted in electricity prices that are four times higher than normal for sustained periods, is that all of the pipeline transmission capacity has been purchased by the local gas distribution companies that sell gas for home heating and retail uses.

The Kendall test (rank based test) used by WHCC does not require a normal distribution and is also fairly insensitive to serial correlation

Because it is the most familiar, I will use the example of the normal distribution (a.k.a. Gaussian or bell - curve distribution) below10.

Demand response is a non-persistent intentional change in net electricity usage by end - use customers from normal consumptive patterns in response to a request on behalf of, or by, a power and / or distribution / transmission system operator.

If an uncertain quantity X can not have negative values, then the use of a normal distribution is simply inappropriate, regardless of its tractability.

In this situation, using the words Hubbert Linearization for a rate plot is a little confusing, because normal distributions curve a bit on a rate plot.

Unfortunately, what we determined that the supposed «normal» distribution of weather data using long period data like 50 and 100 year thermometer measurements produced what is known as a FAT TAIL distribution... Imagine the classical bell curve sitting on top of a rectangle laying on its side.

From the close match to the IPCC's graph (see Figure 5, below) achieved using a normal error distribution, it is evident that the IPCC made a normality assumption, so that has also been done here.

I then used the residuals and calculated the correlation, r, for AR1 autocorrelation and the goodness of fit of the residuals to a normal distribution.

The normal distribution has been used so widely, because it is so easy to apply and also because there remain very many applications, where it presents the probabilities well.

My preference would be to compute a confidence interval (or rather credible interval since Bayes is invoked) using the Ratio of 2 Normals distribution, as discussed in my paper on Lonnie Thompson's 2003 ice core index, rather than the traditional CCE method.

Also this is no different in hypothesis testing, it is quite routine to use a null hypothesis that we know from the outset is not true, for instance «the coin is unbiased» or «this is a sample from a normal distribution» (which is only actually true asymptotically).

A good example is if you try and fit a normal distribution to 10 data values using a flat prior for the variance... the final variance estimate you get is higher than anything that any of the standard methods will give you, and is really just nonsense: it's extremely biased, and the resulting predictions of the normal are much too wide.

I have found efforts using the log - normal distribution and also the gamma distribution; neither works as well as desired measured over all locations.

The classic bell curve that models the normal statistical distribution of many human qualities, from IQ scores to height, to the likelihood that the bus will arrive on time, can also be used to model the impact of family law legislation on dissolving families.

According to the AG, supported by a (similar) decision of the Commission concerning Deutsche Post and doctrine, average variable costs is not the appropriate parameter to use for such undertakings, since (a part of) the average variable costs relate to their network and exist regardless of whether direct mail services are provided or not; in other words the costs are common to, in this case, the distribution of direct mail and «normal» mail falling under the universal postal service.

Tobit regression will be used to confirm the sensitivity of linear regression to a non-normal distribution for outcomes with a censored normal distribution, and ordinal logistic regression for outcomes with up to five ordered categories.

Regarding the normal distribution of the data based on Klomogrov - Smironov test (p > 0.05), the parametric statistics of one - way ANOVA, ANCOVA, MANCOVA, Bonfereni post hoc test and partial eta squared were used as appropriated.

If some primary studies report an outcome as a dichotomous measure and others use a continuous measure of the same construct, we will convert results for the former from an OR to a SMD, provided that we can assume the underlying continuous measure has approximately a normal or logistic distribution (otherwise we will perform two separate analyses).

Because the requirements for a MANOVA (multivariate normal distribution of dependent variables and homogeneity of variance and of the covariance matrices) were not fulfilled for the broadband aggression / delinquency scale in the CBCL, the results were re-evaluated using non-parametric tests (not shown).