準線 y=6x^2

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`x`²	`x`^□	log_□	√☐	^□√☐	≤	≥	□□	·	÷	`x`^◦	π
(☐)^′	`ddx`	∂∂`x`	∫	∫_□^□	lim	∑	∞	`θ`	(`f` ◦ `g`)	`f`(`x`)

☐²

x^☐

√☐

^□√☐

□□

log_□

θ

∞

∫

ddx

≥	≤	·	÷	`x`^◦	(☐)	\|☐\|	(`f` ◦ `g`)	`f`(`x`)	ln	`e`^☐
(☐)^′	∂∂`x`	∫_□^□	lim	∑	sin	cos	tan	cot	csc	sec

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頂点 x²−4

Solution

最小値 (0, −4)

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標本分散

標本分散は,標本内でデータがどれくらい分散しているかを測定する。
平均 ̅ x のデータセット x₁, … , x_n (n 元) の場合,Var(X)=∑_i=1ⁿ(x_i−̅ x)²n−1

平均を計算する: ̅ x: 3.6

計算 ∑_i=1ⁿ(x_i−̅ x)²: 91.2

データセットの項数を計算する: n=5

以下を計算する: Var(X)=∑_i=1ⁿ(x_i−̅ x)²n−1 : 22.8

22.8

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−▭▭	<	7	8	9	÷	`AC`
+▭▭	>	4	5	6	×	☐☐☐
×▭▭	(	1	2	3	−	`x`
▭ \|▭	)	.	0	=	+	`y`

準線 y=6x^2

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