Translation of "skew" to Japanese language:
Dictionary English-Japanese
Skew - translation :
Examples (External sources, not reviewed)
| Skew | 傾斜 |
| Skew Selection | 選択範囲を傾斜させる |
| Skew Image | 画像を傾斜させる |
| After skew | 傾斜後 |
| Skew Selection? | 選択範囲を傾斜させる |
| Skew Image? | 画像を傾斜させる |
| Hobnob is showing a positive skew and Four Play is showing a negative skew. | そして歪度(skew)という概念は 分布のなかでちょっとしかいない人がいる場所がある と覚えると良いでしょう |
| Then, we got the nice normal, we've got a little positive skew, and a little negative skew. | これらが広い視野をとり サンプルの分布をヒストグラムで |
| And the way to remember this skew idea is the skew is where there are few in the distribution. | 例えばHobnobは 2 3人だけ 本当に好きな品評家が居る だから歪んでいる |
| And then finally, skew and kurtosis. Let's not worry about SE just yet. | Standard Error 標準エラー を表しているに すぎません では最初に |
| Skew the coordinate system in x and y direction by alpha and beta degrees. | 座標系をxおよびy方向にそれぞれalpha度 beta度歪ませます |
| And we ran descriptive statistics like the mean, the standard deviation, skew and kurtosis. | 記述統計を行いました 今日やるのは 実際にRのスクリプトを書いて |
| Truck was 5.5 and writ mean for Woop Woop was 5.5, Hobnob again is a little lower like that it has a positive skew and Four Play a higher it has a negative skew. | 正の歪みを持っています そしてFourPlayはより高い 負の歪みを持っているから 次の列は標準偏差です これはばらつきの指標ですぐ後に説明します |
| So the important concepts to take away from the segment are measures of central tendency, measures of variability, skew, and critosis. | ばらつきの指標 歪度 尖度です そしてそれらは平均の4つのモーメントなのを 覚えて下さい ふたたび ワインのテイスティングに行きます |
| There are some cases though where. We, won't want to use the mean. Especially when we have a high degree of skew. | ある場合や 分布の中に少しだけ凄く極端な スコアを持つ物がある場合です |
| lecture two. We just have the mean, the standard deviation, the median, trimmed mean and so on. Here's the skew, here's the kurtosis. | これが歪度 これが尖度 これら4つのワインに対する |
| The summary statistics that we'll focus on here are measures of central tendency, measures of variability, measures of skew, and measures of kurtosis. | ばらつき 歪み 尖りの指標です 中心的傾向は主に平均つまりアベレージ に頼る事が多い 時々メディアンも使う |
| So, we need to know how to spot non normal distributions and for that, I'll, I'll talk about the idea of skew and kurtosis. | 私は歪度(skew)と尖度(kurtosis)のアイデアを説明します で まず あなたは何故ヒストグラムからなのかな |
| After you define a shape, a text object, a sprite, or a button, you add it to the movie, then use the returned handle to move, rotate, scale, or skew the thing. | Here's where all the animation takes place. After you define a shape, a text object, a sprite, or a button, you add it to the movie, then use the returned handle to move, rotate, scale, or skew the thing. |
| We're going to assume that some of our variables are normally distributed, we'll question that assumption but we'll assume it. And, we'll learn how to spot non normal distributions by looking at skew and kurtosis. | そして非正規分布をどう見るか というのを 歪度と尖度で |
| We could plot histograms, and we could use the describe function in R to get the mean, the standard deviation, and values representing skew and kertosis, to determine if it is a normal distribution or not. | 標準偏差や歪度や尖度を表す値を取得する そして正規分布かどうかを決める だからこれは本当に正規分布なのかを判断するために 記述統計を実行するだけ |
| We're going to look at measures of central tendency, we're going to look at measures of variability, then skew and kurtosis, which refers to the peak or like the uniform distribution ah, as the opposite of a, of a peak. | そして歪みやとんがり それはピークとも言われて 近一な分布の反対の意味ですが などを見ていきます そしてもしあなたが 数学が凄い得意なら |
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