Quotes About Sample

All forms are complex once you get to a really high level, and jazz and hip-hop are so connected. In hip-hop, you sample, while in jazz, you take Broadway tunes and turn them into something different. They're both forms that repurpose other forms of music.

Cable's on fire. Traditional broadcast TV's hearing a death knell. I sample as much television as possible. I like 'Homeland,' 'Game of Thrones,' 'Veep.' Now reinvention's important.

I make soul music for hip-hop heads. It's music I'd want to sample if I were a rapper.

The word sample stresses that one sees only one realization among a collection of possible ones. Now, a sample path can be either deterministic or random, which brings the next distinction.

Mathematicians of probability give that a fancy name: ergodicity. It means, roughly, that (under certain conditions) very long sample paths would end up resembling each other. The properties of a very, very long sample path would be similar to the Monte Carlo properties of an average of shorter ones.

However, our presence in the sample completely vitiates the computation of the odds.

As a rule of thumb, the sample size must be at least 30 for the central limit theorem to hold true.) This

The standard error is what tells us how much dispersion we can expect in our results from sample to sample, which in this case means poll to poll.

You should see that a bigger sample makes for a shrinking standard error, which is how large national polls can end up with shockingly accurate results.

The central limit theorem tells us that a large sample will not typically deviate sharply from its underlying population

The central limit theorem tells us that the sample means will be distributed roughly as a normal distribution around the population mean.

First of all, our best guess for what the mean of any sample will be is the mean of the population from which it's drawn.

The whole point of a representative sample is that it looks like the underlying population.

The standard error measures the dispersion of the sample means.

Life gets a little trickier when we are doing our regression analysis (or other forms of statistical inference) with a small sample of data.

Logic suggests that we should be less confident about generalizing our results to the entire adult population from a sample of 25 than from a sample of 3,000.

Our sample of 25 will still give us meaningful information, as would a sample of 5 or 10—but how meaningful? The t-distribution answers that question.

The t-distribution is actually a series, or "family," of probability density functions that vary according to the size of our sample.

Specifically, the more data we have in our sample, the more "degrees of freedom" we have when determining the appropriate distribution against which to evaluate our results.

His speech was a fine sample, on the whole, Of rhetoric, which the learn'd call "rigmarole."

Historians are not scientists. They cannot (and should not even trying to) establish universal laws of social or political physics with reliable predictive powers. Why? Because there is no possibility of repeating the single, multi-millennium experiment that constant to the past. The sample size of human history is one.

We know Uncle George directly, so he gives us music to sample, all we gotta do is tell him directly and we can use it.

The ability to have that mobility of music right now, where you can be in an airport with a sample library, it means that you can channel that mind-space you're in when you're overly tired and in an unfamiliar place.

Think of a story as a stream of information. At best it's an ever-changing series of rhythms. Now think of yourself, the writer, as a DJ mixing tracks. The more music you have to sample from—the more records you have to spin—the more likely you'll keep your audience dancing.