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When graphing a distribution of phenotypes for a continuous trait a broad curve implies?
Wiki User
∙ 10y ago
a large standard deviation
Wiki User
∙ 10y ago
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Can you have a z score above 3?
Yes. However, a z-score greater than 3 implies either that the outcome is rare (prob = 0.135%) or that some of the assumptions regarding the variable are incorrect. This could be the distribution itself or its parameters.
What is sampling precision?
it implies the degree to which the strate choosen for research is apt
How many different three-letter initials can people have?
first space filled with A-z this implies that n(first)=26.second space filled with all letters from a-z this implies that n(second)=26.third space filled with all letters from a-z this implies that n(third)=26.therefore by principle of counting26x26x26=17576
Is kink and a jagged line same in a graph?
No. A jagged line implies several kinks.
What does a positive correlation between variables x and y imply?
It implies that an increase in x is accompanied by an increase in y. And similarly, they decrease together.
Are differentiable functions always continuous?
Differentiability implies continuity This is easy to prove using the limit of the difference quotient
Why is it more accurate to describe the CPU and motherboard bus using the term frequency rather than speed?
Because the term speed implies a continuous flow, while the term frequency implies a digital or binary flow.
What word means always running around?
The word "obstreperous" (unruly) may apply to children in constant motion. The word "bustling" implies a lot of continuous activity, but not simply running. The word "rambunctious" implies tumultuous activity or being boisterous. "Dynamic" implies motion or force. As does "energetic" and "peppy".
Is selling marijuana a misdemeanor?
Depends on state but usually possession of large qty (implies distribution) is what seperates mis from felony some areas.
Describe the CPU and motherboard bus using the term frequency rather than speed?
Talking about frequency of these devices is more accurate, because the term "speed" implies continuous flow, while the term "frequency" implies a digital or binary flow: on and off, on and off.
Why normal distribution curve does not touch each other?
A single curve cannot touch "each other" since "each other" implies two curves.
What kind of distribution is a standard z distribution?
It is the normalised Gaussian distribution. To speak of a 'standard z' distribution is somewhat redundant because a z-score is already standardised. A z-score follows a normal or Gaussian distribution with a mean of zero and a standard deviation of one. It's these specific parameters (this mean and standard deviation) that are considered 'standard'. Speaking of a z-score implies a standard normal distribution. This is important because the shape of the normal distribution remains the same no matter what the mean or standard deviation are. As a consequence, tables of probabilities and other kinds of data can be calculated for the standard normal and then used for other variations of the distribution.
For tax purposes can a portion of your 401K distributions be carried into the next tax year?
As the name implies, the required minimum distribution (RMD) is required to be reported and made in the subject year. If you were referring to a lump some distribution you took (not a regular distribution, but an early withdrawal) the answer is no. Individuals are considered to be on a "cash basis". Therefore, it is all reportable in the year you received the money only.
Why is a linear equation shaded?
Actually, a linear inequality, such as y > 2x - 1, -3x + 2y < 9, or y > 2 is shaded, not a linear equation.The shaded region on the graph implies that any number in the shaded region is a solution to the inequality. For example when graphing y > 2, all values greater than 2 are solutions to the inequality; therefore, the area above the broken line at y>2 is shaded. Note that when graphing ">" or "=" or "
What does torrents of water mean?
"Torrents of water" refers to a large volume of water flowing rapidly and forcefully, often in a fast-moving stream or river. This phrase typically implies a strong and continuous flow of water.
Ecology principle of allocation?
Apparently the Principle of Allocation [PoA] was initially alluded to by Cody (1966), Williams (1966) and Gadgil & Bossert (1970). It basically implies that evolution will produce phenotypes that allocate limited resources between competing physiological processes in such a way as to maximise fitness. This involves trade-offs.
What is gaussian distribution and what is its significance in least squares analysis?
From a technical perspective, alternative characterizations are possible, for example: The normal distribution is the only absolutely continuous distribution all of whose cumulants beyond the first two (i.e. other than the mean and variance) are zero. For a given mean and variance, the corresponding normal distribution is the continuous distribution with the maximum entropy. In order to make statistical tests on the results it is necessary to make assumptions about the nature of the experimental errors. A common (but not necessary) assumption is that the errors belong to a Normal distribution. The central limit theorem supports the idea that this is a good approximation in many cases. The Gauss-Markov theorem. In a linear model in which the errors have expectation zero conditional on the independent variables, are uncorrelated and have equal variances, the best linear unbiased estimator of any linear combination of the observations, is its least-squares estimator. "Best" means that the least squares estimators of the parameters have minimum variance. The assumption of equal variance is valid when the errors all belong to the same distribution. In a linear model, if the errors belong to a Normal distribution the least squares estimators are also the maximum likelihood estimators. However, if the errors are not normally distributed, a central limit theorem often nonetheless implies that the parameter estimates will be approximately normally distributed so long as the sample is reasonably large. For this reason, given the important property that the error mean is independent of the independent variables, the distribution of the error term is not an important issue in regression analysis. Specifically, it is not typically important whether the error term follows a normal distribution. In a least squares calculation with unit weights, or in linear regression, the variance on the jth parameter, denoted , is usually estimated with where the true residual variance σ2 is replaced by an estimate based on the minimised value of the sum of squares objective function S. The denominator, n-m, is the statistical degrees of freedom; see effective degrees of freedom for generalizations. Confidence limits can be found if the probability distribution of the parameters is known, or an asymptotic approximation is made, or assumed. Likewise statistical tests on the residuals can be made if the probability distribution of the residuals is known or assumed. The probability distribution of any linear combination of the dependent variables can be derived if the probability distribution of experimental errors is known or assumed. Inference is particularly straightforward if the errors are assumed to follow a normal distribution, which implies that the parameter estimates and residuals will also be normally distributed conditional on the values of the independent variables.
