Quotes About Mean

Gentleness is not apathy but is an aggressive expression of how we view people. We see people as so valuable that we deal with them in gentleness, fearing the slightest damage to one for whom Christ died. To be apathetic is to turn people over to mean and destructive elements, to truly love people cause for us to be aggressively gentle.

She wasn't easy to be around at the best of times, and during the worst, well, she sucked flaming balls of mean...Still she wanted his eternal admiration.

You mean me entering the Library may have destroyed the universe?" Catherine asked. "You don't need to sound quite so impressed by it," Irene chided. "It's not something you want on your yearly performance review.

Men have to do some awfully mean things to keep up their respectability.

A patronizing disposition always has its meaner side.

Had he gone eagerly to that rendezvous and was he now, in what strange heaven of release, 'set free', whatever that might mean?

He nothing common did, or mean, Upon that memorable scene.

Look, bro, you mean to tell me that Elon Musk not a alien? C'mon, brah, he's trying to get people to go on Mars.

We used to go around tipping outhouses over, or turning over corn shocks on Halloween. Anything to be mean.

Asking someone to be with us turns out to be an impossibly demanding and therefore pretty mean thing to suggest to anyone we would really want the best for.

He sighed heavily. "Girls are mean. At least faeries simply kill you if they don't want you around." He put a hand on the wall, leaning against it and tapping his foot impatiently.

Stop trying to be cute. You're too mean to be cute.

We're not excusing the ones who are mean, but I want girls to understand the psychology. It's not in everyone. But the bully needs to put this pain somewhere.

I think being mean to people in high school is healthy. It's sort of like you're in this situation with all these other kids and sometimes you need to get your aggression out. And if you'd had people be mean to you before, it really does build character.

When your sample is large, no single instance will significantly change the aggregate or the total.

Regression to the mean, the tendency for behavior to move toward "normal" or average, is a persistently powerful phenomenon in physics and sociology and investing.) Yes, several funds beat the market in any particular year and some in any decade, but scrutiny of the long-term records reveals that very few funds beat the market averages over the long haul—and nobody has yet figured out how to tell in advance which funds will do it. The

The mean, or average, turns out to have some problems in that regard, namely, that it is prone to distortion by "outliers," which are observations that lie farther from the center.

Probability tells us that any outlier—an observation that is particularly far from the mean in one direction or the other—is likely to be followed by outcomes that are more consistent with the long-term average.

For distributions without serious outliers, the median and the mean will be similar.

The standard deviation is the descriptive statistic that allows us to assign a single number to this dispersion around the mean.

The beauty of the normal distribution - its Michael Jordan power, finesse, and elegance - comes from the fact that we know by definition exactly what proportion of the observations in a normal distribution lie within one standard deviation of the mean (68.2 percent), within two standard deviations of the mean (95.4 percent), within three standard deviations of the mean (99.7 percent), and so on.

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.

Specifically, the sample means will form a normal distribution around the population mean, which in this case is $70,900.