Discover the most popular and inspiring quotes and sayings on the topic of Quantitative. Share them with your friends on social media platforms like Facebook, Twitter, or your personal blogs, and let the world be inspired by their powerful messages. Here are the Top 100 Quantitative Quotes And Sayings by 92 Authors including Alexander Von Humboldt,Fyodor Dostoyevsky,Brett Blair,Steven Sinofsky,Karl Pearson for you to enjoy and share.
Statistical projections which speak to the senses without fatiguing the mind, possess the advantage of fixing the attention on a great number of important facts.
There's a measure in all things.
What gets measured gets done.
As much as we think of performance management as numeric and thus perfectly quantifiable, it is as much a product of context and social science as the products we design and develop.
That which is measured improves. That which is measured and reported improves exponentially.
I bathe in statistics.
With a metric you can really go to town, otherwise it is just abstract nonsense.
[Statistics] The science that can prove everything except the usefulness of statistics.
Quantity brings recognition and accolades
Statistics has been the handmaid of science, and has poured a flood of light upon the dark questions of famine and pestilence, ignorance and crime, disease and death.
Econometrics may be defined as the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference.
There is a tendency in all of us to ask for better statistical performance. There is a tendency to impose quotas behind which usually lies imposition of pressure to achieve improved statistics.
Mathematics may, be briefly defined as the science of quantities, and is one of the most important of disciplining studies which engage the practical student.
When we deal in generalities, we shall never succeed. When we deal in specifics, we shall rarely have a failure. When performance is measured, performance improves. When performance is measured and reported, the rate of performance accelerates.
You can use all the quantitative data you can get, but you still have to distrust it and use your own intelligence and judgment.
The analysis of statistics is a big part of the modern game, and it's important as a modern manager to embrace areas that can help your team and players improve.
As every bookie knows instinctively, a number such as reliability - a qualitative rather than a quantitative measure - is needed to make the valuation of information practically useful.
The most distinctive characteristic which differentiates mathematics from the various branches of empirical science, and which accounts for its fame as the queen of the sciences, is no doubt the peculiar certainty and necessity of its results.
If measures are taken only at the micro level, analyzing the data at the micro level is a correct way to proceed, as long as one takes into account that observations within a macro-unit may be correlated. In
Is a feeling, not a calculation. It is perception. One
The primary factor is proportions.
Merely quantitative differences, beyond a certain point, pass into qualitative changes.
A certain elementary training in statistical method is becoming as necessary for everyone living in this world of today as reading and writing.
Numbers instill a feeling for the lie of the land, and furnish grist for the mathematical mill that is the physicist's principal tool.
The advantage of the analytical approach is that it is widely applicable, and it can provide a considerable amount of quantitative information even with a relatively poor resolving power.
Away from the numbers
What gets measured gets improved.
I focus on the most important form of innumeracy in everyday life, statistical innumeracy
that is, the inability to reason about uncertainties and risk.
Quantity equals scale weight.
We lisp in numbers, in the U.S. We are deluged by ample, often mysterious statistics ... Like many in this country, I have come to regard statistics with doubt and merely as a hint of the probable shape of fact.
Measure what is important, don't make important what you can measure
Knowing what to measure and how to measure it makes a complicated world much less so.
We must measure what leads to results, not simply what is easy to measure.
The world is a bell curve. Classroom test scores, employee performance in a company or how many people really, really like you. No matter the population you're studying, they always fit neatly across the standard deviations of the famous bell curve.
In our lust for measurement, we frequently measure that which we can rather than that which we wish to measure ... and forget that there is a difference.
What gets measured gets managed.
if you can't measure it, you can't manage it.
Let probability and sample size do the heavy lifting.
Let the numbers speak.
We cannot measure, what it is we do not know to value.
The value of having numbers - data - is that they aren't subject to someone else's interpretation. They are just the numbers. You can decide what they mean for you.
Statistics are like miniskirts: They give you good ideas but hide the important things.
The heart of science is measurement.
I have been struck again and again by how important measurement is to improving the human condition.
Consider data without prejudice.
The more I study the things of the mind the more mathematical I find them. In them as in mathematics it is a question of quantities; they must be treated with precision. I have never had more satisfaction than in proving this in the realms of art, politics and history.
Quality, not quantity, is my measure.
The goal of measurement is to not only do things right but do the right things and continuously improve doing that.
Before gathering any data, one must have concepts about the data being gathered. These are conceptual categories, meanings, and relationships that are all pre-empirical. They are purely theoretical. Imagine
Who wants to get really granular with sabermetrics when you're going to see a two-and-a-half-hour Brad Pitt movie? You don't go to the cinema for a maths lesson.
Quantity has a quality all its own.
Regression toward the mean. That is, in any series of random events an extraordinary event is most likely to be followed, due purely to chance, by a more ordinary one.
A percentage! What splendid words they have; they are so scientific, so consolatory ... Once you've said 'percentage' there's nothing more to worry about. If we had any other word ... maybe we might feel more uneasy ...
The first requirement in using statistics is that the facts treated shall be reduced to comparable units.
I am not very good at statistics. I am also a poor thinker.
Be precise. A lack of precision is dangerous when the margin of error is small.
All you nerds out there (me included) - don't always rely on stats for the perfect answer.
Statistics is the grammar of science.
Measure me while I live - after it will be too late.
We've taken disturbances and fluctuations and averaged them together to give us comfortable statistics. Our training has been to look for big numbers, important trends, major variances. Yet it is the slight variations - soft-spoken, even whispered at first - that we need to encourage.
From the cradle to the grave, you are measured against the ever-present yardstick of the average, judged according to how closely you approximate it or how far you are able to exceed it.
Whatever the measurement system is, it needs to be consistent, repeatable and as unbiased as possible.
No really. What exactly did you do today, Jenny? Quantify it for me."
"It's not quantifiable. There aren't even metrics for the shit I do.
When you're an investor, you can look at the quantitative and qualitative elements of an investment, but there's a third aspect: What you feel in your gut.
Statistics are somewhat like old medical journals, or like revolvers in newly opened mining districts. Most men rarely use them, and find it troublesome to preserve them so as to have them easy of access; but when they do want them, they want them badly.
The actual and physical conduct of an experiment must govern the statistical procedure of its interpretation.
Mathematicians come to the solution of a problem by the simple arrangement of the data, and reducing the reasoning to such simple operations, to judgments so brief, that they never lose sight of the evidence that serves as their guide.
Human progress is achieved by taking exact measurements.
The exact Quantity and Quality being found out, is to be kept to constantly.
When you cannot measure, your knowledge is meager and unsatisfactory.
Learn to see by feeling, because that's the essence of analytical quality.
The space you occupy and the authority you exercise may be measured with mathematical exactness by the service you render.
All I know is that I am excessively calculating, especially when I appear not to be.
Science begins with counting. To understand a phenomenon, a scientist must first describe it; to describe it objectively, he must first measure it.
I try not to be overly analytical.
The manipulation of statistical formulas is no substitute for knowing what one is doing.
You cannot evade quantity. You may fly to poetry and music, and quantity and number will face you in your rhythms and your octaves.
Quality is determined by accuracy and completeness.
A new, a vast, and a powerful language is developed for the future use of analysis, in which to wield its truths so that these may become of more speedy and accurate practical application for the purposes of mankind than the means hitherto in our possession have rendered possible.
It is given to us to live for the most part under the guidance of mathematics ... It is impossible to distinguish from other living creatures anyone who does not understand how to quantify.
Pure mathematics, may it never be of any use to anyone.
The most important measures are both unknown and unknowable.
What you measure affects what you do. If you don't measure the right thing, you don't do the right thing.
Data-driven statistics has the danger of isolating statistics from the rest of the scientific and mathematical communities by not allowing valuable cross-pollination of ideas from other fields.
The language of mathematics, scientific observations, and our perceptivity together knit the window to reality.
I'm not a very analytical person.
A population of four million is not quantitatively but qualitatively different from an individual, because it involves systems of interaction among the individuals.
ask yourself why, what you will measure, and what you can learn from it.
I often say that when you can measure what you are speaking about, and express it in numbers, you know something about it; but when you cannot measure it, when you cannot express it in numbers, your knowledge is of a meagre and unsatisfactory kind.
You can tell all that about me from your measuring tape?'
'Well, I use the metric system, It's the only way to get really exact numbers.
I'm a pretty analytical guy, all right?
It is very difficult to make a vigorous, plausible, and job-risking defense of an estimate that is derived by no quantitative method, supported by little data, and certified chiefly by the hunches of the managers
Certainty, not data, is knowledge.
It is strange that we know so little about the properties of numbers. They are our handiwork, yet they baffle us; we can fathom only a few of their intricacies. Having defined their attributes and prescribed their behavior, we are hard pressed to perceive the implications of our formulas.
We turn to quantities when we can't compare the qualities of things.
First, measure the right things, and then measure them right.
Estimating is what you do when you don't know.
Numbers are the product of counting. Quantities are the product of measurement. This means that numbers can conceivably be accurate because there is a discontinuity between each integer and the next.
Statistics cannot substitute for the human being before you; statistics embody averages, not individuals.
Don't let the measurable drive out the relevant