Quantitative Data Quotes

In terms of segments, I think we've done 1,200.

It always cracks me up when program directors or music directors or companies will say, 'Well, we did research, and we interviewed 25 people in our focus group, and this is what they said.' And I'm like, 'I've talked to 25 people in two hours! I talk to 50, 60, 70 people a night! Five or six days a week!'

You can use all the quantitative data you can get, but you still have to distrust it and use your own intelligence and judgment.

I'm a pollster by trade, so I'm into things that are actually quantifiable.

I don't care about hundreds, fifties, averages.

We turn to quantities when we can't compare the qualities of things.

No great marketing decisions have ever been made on qualitative data

This is what analysts have calculated. It's a number that's out there and we're not arguing with it.

I don't really look at numbers. I couldn't tell you what my home-road stats are or anything like that.

The type of measure used placed constraints on which statistics can be used.

What I tend to do is blend quantitative with the qualitative to allow me to plot the qualitative data in some way. It's a question of what quantitative data are most applicable. So I'm playing with that, merging the two.

If a picture is worth a thousand words, in business, so is a number.

The seventeenth century witnessed the birth of modern science as we know it today. This science was something new, based on a direct confrontation of nature by experiment and observation. But there was another feature of the new science-a dependence on numbers, on real numbers of actual experience.

The key to making a good forecast is not in limiting yourself to quantitative information.

Serious numbers will speak to us always.

Unlike the position that exists in the physical sciences, in economics and other disciplines that deal with essentially complex phenomena, the aspects of the events to be accounted for about which we can get quantitative data are necessarily limited and may not include the important ones.

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 for losers.

There are two types of claims: those based on hard numbers and those based on slippery numbers.

We are ... led to a somewhat vague distinction between what we may call "hard" data and "soft" data. This distinction is a matter of degree, and must not be pressed; but if not taken too seriously it may help to make the situation clear. I mean by "hard" data those which resist the solvent influence of critical reflection, and by "soft" data those which, under the operation of this process, become to our minds more or less doubtful.

I don't read good reviews. I like to know what percentages are going on. When Sony sends out something saying that people are liking the movie, I like to know that, but I don't actually sit and read the good stuff.

I really love numbers.

Know your numbers' is a fundamental precept of business.

Them as counts counts moren them as dont count

Are there quantitative aspects to the phenomena of war that can be counted? Evidently!