deploy: f9dcb2c54b

404.html

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blog/2023/0301-fukue-island/index.html

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blog/2023/0303-fukue-island/index.html

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blog/2023/0304-fukue-island/index.html

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blog/2023/0319-moving/index.html

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note/index.xml

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 </li>
 &lt;/ul></description></item><item><title>tinycthread</title><link>https://ar.falsy.cat/note/info-tech/tinycthread/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/info-tech/tinycthread/</guid><description>tinycthread / API doc
-概要 スレッド関係の機能を提供するlightweightなライブラリ mtx: mutex cnd: condition variable thrd: thread tss: thread-specific storage C11 zlib license マルチプラットフォーム CMake利用可能 導入方法 CMake: FetchContent 1 2 3 4 5 6 7 8 9 10 # ---- tinycthread ---- # repository: https://github.</description></item><item><title>卵を片手で割る手法の提案</title><link>https://ar.falsy.cat/note/chores/one-hand-egg-cracking/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/chores/one-hand-egg-cracking/</guid><description>Abstract This paper proposes a method to crack eggs by one hand The method can reduce cooking time and promote multi-tasking No special appliance is needed However accuracy of action is necessary to keep yolk unbroken 概要 調理の時短とマルチタスク促進のために卵を片手で割る手法を提案する 本手法は一般家庭にある既存の器具のみで実行が可能 ただし黄身を割らないためには繊細な動作が要求される 背景 左手でゴミ袋を持ちながら右手で卵を割ると非常に時短になる 特に調理プロセスのなかで一度に複数の卵が関与する場合に著しい時短効果が得られる 先行研究の手法では調理対象に殻が混入してしまうことが多い 手法 卵をフォークボールを投げる時のように持つ 鋭端が人差し指と中指の間に来るように持つ 鈍端を親指と薬指で支える 皿の淵で卵の殻に割れ目を作る 卵の鋭端と鈍端を結ぶ線分の垂直二等分線が皿の淵と重なるように腕を何回か振り下ろす 皿を卵の直径の$\frac{1}{4}$程度まで食い込ませる 卵を皿に押し付けて真っ二つにするイメージ ここで皿を食い込ませすぎると黄身が割れる原因になる 人差し指の付け根で割れ目の裏側を押し出す 人差し指，中指，親指，薬指で卵をしっかりと支えておく 評価実験 本手法を用いて鶏卵2個を割った 1個は黄身が割れたが，1個は割れなかった 卵の殻が調理対象に混入することはなかった まとめ 卵を片手で割る手法を提案した 本手法では50%の確率で黄身が割れる 先行研究の手法と異なり，卵の殻が混入する確率は低い 今後の課題として，黄身が割れる確率を抑えることが挙げられる 理論上，左右両方の手で同時に2個の卵を割ることでさらなる効率化を図れる</description></item><item><title>国語教科書オールスターズ</title><link>https://ar.falsy.cat/note/word-play/japanese-text-all-stars/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/word-play/japanese-text-all-stars/</guid><description>&lt;h2 id="概要">概要&lt;/h2>
+概要 スレッド関係の機能を提供するlightweightなライブラリ mtx: mutex cnd: condition variable thrd: thread tss: thread-specific storage C11 zlib license マルチプラットフォーム CMake利用可能 導入方法 CMake: FetchContent 1 2 3 4 5 6 7 8 9 10 # ---- tinycthread ---- # repository: https://github.</description></item><item><title>仮説検定</title><link>https://ar.falsy.cat/note/study/statistics-test/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/study/statistics-test/</guid><description>概要 仮説検定とは，母集団の母数に関する帰無仮説について，棄却/受容を標本から客観的に判定する手続き 有意確率とは，帰無仮説が真だった場合に誤って棄却する確率である 仮説検定において，有意確率が事前に定めた有意水準よりも小さかった場合，帰無仮説を棄却する 検定手順 帰無仮説を仮定する 帰無仮説のもとで検定したい事象が発生する確率$p$を求める $p$が事前に定めた有意水準よりも小さいならば，帰無仮説を棄却する 結論に生じうる誤り 第一種の誤り: 帰無仮説が正しい，かつ，帰無仮説を棄却してしまう 発生確率=有意確率 発生確率を設定できる 第二種の誤り: 帰無仮説が誤っている，かつ，帰無仮説を受容してしまう 発生確率は不明 発生確率を設定できない 有意水準を小さくすることで第一種の誤りは起こりにくくなるが，第二種の誤りが起こりやすくなる（トレードオフ） 大体の場合で5% 第一種の誤りが許されない場面（医療など）では1% 例 コイントスを10回して7回表が出た．コイントスは公平か？ 7回表が出る確率は$\frac{1}{2^{10}} \cdot {}_{10} \mathrm{C}_7=0.</description></item><item><title>卵を片手で割る手法の提案</title><link>https://ar.falsy.cat/note/chores/one-hand-egg-cracking/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/chores/one-hand-egg-cracking/</guid><description>Abstract This paper proposes a method to crack eggs by one hand The method can reduce cooking time and promote multi-tasking No special appliance is needed However accuracy of action is necessary to keep yolk unbroken 概要 調理の時短とマルチタスク促進のために卵を片手で割る手法を提案する 本手法は一般家庭にある既存の器具のみで実行が可能 ただし黄身を割らないためには繊細な動作が要求される 背景 左手でゴミ袋を持ちながら右手で卵を割ると非常に時短になる 特に調理プロセスのなかで一度に複数の卵が関与する場合に著しい時短効果が得られる 先行研究の手法では調理対象に殻が混入してしまうことが多い 手法 卵をフォークボールを投げる時のように持つ 鋭端が人差し指と中指の間に来るように持つ 鈍端を親指と薬指で支える 皿の淵で卵の殻に割れ目を作る 卵の鋭端と鈍端を結ぶ線分の垂直二等分線が皿の淵と重なるように腕を何回か振り下ろす 皿を卵の直径の$\frac{1}{4}$程度まで食い込ませる 卵を皿に押し付けて真っ二つにするイメージ ここで皿を食い込ませすぎると黄身が割れる原因になる 人差し指の付け根で割れ目の裏側を押し出す 人差し指，中指，親指，薬指で卵をしっかりと支えておく 評価実験 本手法を用いて鶏卵2個を割った 1個は黄身が割れたが，1個は割れなかった 卵の殻が調理対象に混入することはなかった まとめ 卵を片手で割る手法を提案した 本手法では50%の確率で黄身が割れる 先行研究の手法と異なり，卵の殻が混入する確率は低い 今後の課題として，黄身が割れる確率を抑えることが挙げられる 理論上，左右両方の手で同時に2個の卵を割ることでさらなる効率化を図れる</description></item><item><title>国語教科書オールスターズ</title><link>https://ar.falsy.cat/note/word-play/japanese-text-all-stars/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/word-play/japanese-text-all-stars/</guid><description>&lt;h2 id="概要">概要&lt;/h2>
 &lt;ul>
 &lt;li>今までの国語の教科書に出てきた忘れられない奴等を忘れないために記録しておく&lt;/li>
-&lt;/ul></description></item><item><title>明晰夢を利用した現実の証明</title><link>https://ar.falsy.cat/note/word-play/proof-of-reality-using-lucid-dream/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/word-play/proof-of-reality-using-lucid-dream/</guid><description>概要 今の意識が現実であることを証明する手法を論理的に導く ただの言葉遊びなので哲学的な何かは期待しないでほしい 前提 ここでは次の前提のもと議論を進める 夢を見ていることを自覚している夢を見ている，ならばかつその時に限り，明晰夢を見ている 明晰夢を見ている，ならば，全てが思い通りになる 夢でないならば現実である 証明は次の定義の元で行う 状況$A$: 夢を見ている 状況$B$: 夢を見ていることを自覚している 状況$C$: 明晰夢を見ている 状況$D$: 全てが思い通りである 証明の最終的な目標は$X\implies \overline{A}$を導くことである 証明 前提より $P_1: A\cap B\iff C$ $P_2: C \implies D$ $P_1,P_2$より，三段論法を用いて $P_3: A \cap B \implies D$ $P_3$の対偶より $P_4: \overline{D}\implies \overline{A\cap B}$ $P_4$より，ド・モルガンの公式を用いて $P_5: \overline{D}\implies \overline{A} \cup \overline{B}$ $B$は意図的に真にできるため，$P_5$より $\overline{D}\cap B \implies \overline{A}$ 結論 事前に夢を見ていることを自覚している，かつ，思い通りにならないことが存在する，ならば，それは現実である ただし，この手法では全ての現実を証明できるとは言えないことに留意されたい</description></item><item><title>片手鍋で米を炊く</title><link>https://ar.falsy.cat/note/chores/cooking-rice-with-saucepan/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/chores/cooking-rice-with-saucepan/</guid><description>概要 炊飯器が無くても米は炊ける ただし火を使う間，22分程度拘束される 手順 片手鍋で米(3合)を研ぐ 水(500ml)を入れる 蓋をして鍋ごと冷蔵庫で30分冷やす 蓋をしたまま中火で13分 弱火で3分 とろ火で6分 火を消して蓋をしたまま10分放置 補足 冷やす時間は15分程度まで短縮しても良い 短縮した場合は中火の時間も12分程度に縮める 最後の放置が結構重要 火を消した直後はまだべちゃべちゃしてる</description></item><item><title>統計検定</title><link>https://ar.falsy.cat/note/study/statistics-test/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/study/statistics-test/</guid><description>概要 統計検定とは，母集団の母数に関する帰無仮説について，棄却/受容を標本から客観的に判定する手続き 有意確率とは，帰無仮説が真だった場合に誤って棄却する確率である 統計検定において，有意確率が事前に定めた有意水準よりも小さかった場合，帰無仮説を棄却する 検定手順 帰無仮説を仮定する 帰無仮説のもとで検定したい事象が発生する確率$p$を求める $p$が事前に定めた有意水準よりも小さいならば，帰無仮説を棄却する 結論に生じうる誤り 第一種の誤り: 帰無仮説が正しい，かつ，帰無仮説を棄却してしまう 発生確率=有意確率 発生確率を設定できる 第二種の誤り: 帰無仮説が誤っている，かつ，帰無仮説を受容してしまう 発生確率は不明 発生確率を設定できない 有意水準を小さくすることで第一種の誤りは起こりにくくなるが，第二種の誤りが起こりやすくなる（トレードオフ） 大体の場合で5% 第一種の誤りが許されない場面（医療など）では1% 例 コイントスを10回して7回表が出た．コイントスは公平か？ 7回表が出る確率は$\frac{1}{2^{10}} \cdot {}_{10} \mathrm{C}_7=0.</description></item></channel></rss>
+&lt;/ul></description></item><item><title>明晰夢を利用した現実の証明</title><link>https://ar.falsy.cat/note/word-play/proof-of-reality-using-lucid-dream/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/word-play/proof-of-reality-using-lucid-dream/</guid><description>概要 今の意識が現実であることを証明する手法を論理的に導く ただの言葉遊びなので哲学的な何かは期待しないでほしい 前提 ここでは次の前提のもと議論を進める 夢を見ていることを自覚している夢を見ている，ならばかつその時に限り，明晰夢を見ている 明晰夢を見ている，ならば，全てが思い通りになる 夢でないならば現実である 証明は次の定義の元で行う 状況$A$: 夢を見ている 状況$B$: 夢を見ていることを自覚している 状況$C$: 明晰夢を見ている 状況$D$: 全てが思い通りである 証明の最終的な目標は$X\implies \overline{A}$を導くことである 証明 前提より $P_1: A\cap B\iff C$ $P_2: C \implies D$ $P_1,P_2$より，三段論法を用いて $P_3: A \cap B \implies D$ $P_3$の対偶より $P_4: \overline{D}\implies \overline{A\cap B}$ $P_4$より，ド・モルガンの公式を用いて $P_5: \overline{D}\implies \overline{A} \cup \overline{B}$ $B$は意図的に真にできるため，$P_5$より $\overline{D}\cap B \implies \overline{A}$ 結論 事前に夢を見ていることを自覚している，かつ，思い通りにならないことが存在する，ならば，それは現実である ただし，この手法では全ての現実を証明できるとは言えないことに留意されたい</description></item><item><title>片手鍋で米を炊く</title><link>https://ar.falsy.cat/note/chores/cooking-rice-with-saucepan/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/chores/cooking-rice-with-saucepan/</guid><description>概要 炊飯器が無くても米は炊ける ただし火を使う間，22分程度拘束される 手順 片手鍋で米(3合)を研ぐ 水(500ml)を入れる 蓋をして鍋ごと冷蔵庫で30分冷やす 蓋をしたまま中火で13分 弱火で3分 とろ火で6分 火を消して蓋をしたまま10分放置 補足 冷やす時間は15分程度まで短縮しても良い 短縮した場合は中火の時間も12分程度に縮める 最後の放置が結構重要 火を消した直後はまだべちゃべちゃしてる</description></item></channel></rss>

note/info-tech/flutter/index.html

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note/info-tech/install-archlinux/index.html

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note/info-tech/library-c-cpp/index.html

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note/info-tech/obsidian/index.html

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note/info-tech/pleroma/index.html

@@ -9,7 +9,7 @@
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note/info-tech/publish-obsidian-by-quartz/index.html

@@ -45,7 +45,7 @@ Quartzの紹介文からの引用
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note/info-tech/qemu/index.html

@@ -33,7 +33,7 @@ M1/M2向けVirtualBoxはまだ開発者プレビューしかなく，まとも
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note/info-tech/tinycthread/index.html

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note/word-play/japanese-text-all-stars/index.html

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note/word-play/proof-of-reality-using-lucid-dream/index.html

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tags/blog/index.html

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tags/c-language/index.html

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tags/cat/index.html

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tags/chores/index.html

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tags/cooking/index.html

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tags/cpp/index.html

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tags/development/index.html

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tags/fediverse/index.html

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tags/gourmet/index.html

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tags/info-tech/index.html

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tags/library/index.html

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tags/lifehack/index.html

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tags/linux/index.html

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tags/mountain/index.html

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tags/note/index.xml

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 &lt;/ul></description></item><item><title>tinycthread</title><link>https://ar.falsy.cat/note/info-tech/tinycthread/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/info-tech/tinycthread/</guid><description>tinycthread / API doc
-概要 スレッド関係の機能を提供するlightweightなライブラリ mtx: mutex cnd: condition variable thrd: thread tss: thread-specific storage C11 zlib license マルチプラットフォーム CMake利用可能 導入方法 CMake: FetchContent 1 2 3 4 5 6 7 8 9 10 # ---- tinycthread ---- # repository: https://github.</description></item><item><title>卵を片手で割る手法の提案</title><link>https://ar.falsy.cat/note/chores/one-hand-egg-cracking/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/chores/one-hand-egg-cracking/</guid><description>Abstract This paper proposes a method to crack eggs by one hand The method can reduce cooking time and promote multi-tasking No special appliance is needed However accuracy of action is necessary to keep yolk unbroken 概要 調理の時短とマルチタスク促進のために卵を片手で割る手法を提案する 本手法は一般家庭にある既存の器具のみで実行が可能 ただし黄身を割らないためには繊細な動作が要求される 背景 左手でゴミ袋を持ちながら右手で卵を割ると非常に時短になる 特に調理プロセスのなかで一度に複数の卵が関与する場合に著しい時短効果が得られる 先行研究の手法では調理対象に殻が混入してしまうことが多い 手法 卵をフォークボールを投げる時のように持つ 鋭端が人差し指と中指の間に来るように持つ 鈍端を親指と薬指で支える 皿の淵で卵の殻に割れ目を作る 卵の鋭端と鈍端を結ぶ線分の垂直二等分線が皿の淵と重なるように腕を何回か振り下ろす 皿を卵の直径の$\frac{1}{4}$程度まで食い込ませる 卵を皿に押し付けて真っ二つにするイメージ ここで皿を食い込ませすぎると黄身が割れる原因になる 人差し指の付け根で割れ目の裏側を押し出す 人差し指，中指，親指，薬指で卵をしっかりと支えておく 評価実験 本手法を用いて鶏卵2個を割った 1個は黄身が割れたが，1個は割れなかった 卵の殻が調理対象に混入することはなかった まとめ 卵を片手で割る手法を提案した 本手法では50%の確率で黄身が割れる 先行研究の手法と異なり，卵の殻が混入する確率は低い 今後の課題として，黄身が割れる確率を抑えることが挙げられる 理論上，左右両方の手で同時に2個の卵を割ることでさらなる効率化を図れる</description></item><item><title>国語教科書オールスターズ</title><link>https://ar.falsy.cat/note/word-play/japanese-text-all-stars/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/word-play/japanese-text-all-stars/</guid><description>&lt;h2 id="概要">概要&lt;/h2>
+概要 スレッド関係の機能を提供するlightweightなライブラリ mtx: mutex cnd: condition variable thrd: thread tss: thread-specific storage C11 zlib license マルチプラットフォーム CMake利用可能 導入方法 CMake: FetchContent 1 2 3 4 5 6 7 8 9 10 # ---- tinycthread ---- # repository: https://github.</description></item><item><title>仮説検定</title><link>https://ar.falsy.cat/note/study/statistics-test/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/study/statistics-test/</guid><description>概要 仮説検定とは，母集団の母数に関する帰無仮説について，棄却/受容を標本から客観的に判定する手続き 有意確率とは，帰無仮説が真だった場合に誤って棄却する確率である 仮説検定において，有意確率が事前に定めた有意水準よりも小さかった場合，帰無仮説を棄却する 検定手順 帰無仮説を仮定する 帰無仮説のもとで検定したい事象が発生する確率$p$を求める $p$が事前に定めた有意水準よりも小さいならば，帰無仮説を棄却する 結論に生じうる誤り 第一種の誤り: 帰無仮説が正しい，かつ，帰無仮説を棄却してしまう 発生確率=有意確率 発生確率を設定できる 第二種の誤り: 帰無仮説が誤っている，かつ，帰無仮説を受容してしまう 発生確率は不明 発生確率を設定できない 有意水準を小さくすることで第一種の誤りは起こりにくくなるが，第二種の誤りが起こりやすくなる（トレードオフ） 大体の場合で5% 第一種の誤りが許されない場面（医療など）では1% 例 コイントスを10回して7回表が出た．コイントスは公平か？ 7回表が出る確率は$\frac{1}{2^{10}} \cdot {}_{10} \mathrm{C}_7=0.</description></item><item><title>卵を片手で割る手法の提案</title><link>https://ar.falsy.cat/note/chores/one-hand-egg-cracking/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/chores/one-hand-egg-cracking/</guid><description>Abstract This paper proposes a method to crack eggs by one hand The method can reduce cooking time and promote multi-tasking No special appliance is needed However accuracy of action is necessary to keep yolk unbroken 概要 調理の時短とマルチタスク促進のために卵を片手で割る手法を提案する 本手法は一般家庭にある既存の器具のみで実行が可能 ただし黄身を割らないためには繊細な動作が要求される 背景 左手でゴミ袋を持ちながら右手で卵を割ると非常に時短になる 特に調理プロセスのなかで一度に複数の卵が関与する場合に著しい時短効果が得られる 先行研究の手法では調理対象に殻が混入してしまうことが多い 手法 卵をフォークボールを投げる時のように持つ 鋭端が人差し指と中指の間に来るように持つ 鈍端を親指と薬指で支える 皿の淵で卵の殻に割れ目を作る 卵の鋭端と鈍端を結ぶ線分の垂直二等分線が皿の淵と重なるように腕を何回か振り下ろす 皿を卵の直径の$\frac{1}{4}$程度まで食い込ませる 卵を皿に押し付けて真っ二つにするイメージ ここで皿を食い込ませすぎると黄身が割れる原因になる 人差し指の付け根で割れ目の裏側を押し出す 人差し指，中指，親指，薬指で卵をしっかりと支えておく 評価実験 本手法を用いて鶏卵2個を割った 1個は黄身が割れたが，1個は割れなかった 卵の殻が調理対象に混入することはなかった まとめ 卵を片手で割る手法を提案した 本手法では50%の確率で黄身が割れる 先行研究の手法と異なり，卵の殻が混入する確率は低い 今後の課題として，黄身が割れる確率を抑えることが挙げられる 理論上，左右両方の手で同時に2個の卵を割ることでさらなる効率化を図れる</description></item><item><title>国語教科書オールスターズ</title><link>https://ar.falsy.cat/note/word-play/japanese-text-all-stars/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/word-play/japanese-text-all-stars/</guid><description>&lt;h2 id="概要">概要&lt;/h2>
 &lt;ul>
 &lt;li>今までの国語の教科書に出てきた忘れられない奴等を忘れないために記録しておく&lt;/li>
-&lt;/ul></description></item><item><title>明晰夢を利用した現実の証明</title><link>https://ar.falsy.cat/note/word-play/proof-of-reality-using-lucid-dream/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/word-play/proof-of-reality-using-lucid-dream/</guid><description>概要 今の意識が現実であることを証明する手法を論理的に導く ただの言葉遊びなので哲学的な何かは期待しないでほしい 前提 ここでは次の前提のもと議論を進める 夢を見ていることを自覚している夢を見ている，ならばかつその時に限り，明晰夢を見ている 明晰夢を見ている，ならば，全てが思い通りになる 夢でないならば現実である 証明は次の定義の元で行う 状況$A$: 夢を見ている 状況$B$: 夢を見ていることを自覚している 状況$C$: 明晰夢を見ている 状況$D$: 全てが思い通りである 証明の最終的な目標は$X\implies \overline{A}$を導くことである 証明 前提より $P_1: A\cap B\iff C$ $P_2: C \implies D$ $P_1,P_2$より，三段論法を用いて $P_3: A \cap B \implies D$ $P_3$の対偶より $P_4: \overline{D}\implies \overline{A\cap B}$ $P_4$より，ド・モルガンの公式を用いて $P_5: \overline{D}\implies \overline{A} \cup \overline{B}$ $B$は意図的に真にできるため，$P_5$より $\overline{D}\cap B \implies \overline{A}$ 結論 事前に夢を見ていることを自覚している，かつ，思い通りにならないことが存在する，ならば，それは現実である ただし，この手法では全ての現実を証明できるとは言えないことに留意されたい</description></item><item><title>片手鍋で米を炊く</title><link>https://ar.falsy.cat/note/chores/cooking-rice-with-saucepan/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/chores/cooking-rice-with-saucepan/</guid><description>概要 炊飯器が無くても米は炊ける ただし火を使う間，22分程度拘束される 手順 片手鍋で米(3合)を研ぐ 水(500ml)を入れる 蓋をして鍋ごと冷蔵庫で30分冷やす 蓋をしたまま中火で13分 弱火で3分 とろ火で6分 火を消して蓋をしたまま10分放置 補足 冷やす時間は15分程度まで短縮しても良い 短縮した場合は中火の時間も12分程度に縮める 最後の放置が結構重要 火を消した直後はまだべちゃべちゃしてる</description></item><item><title>統計検定</title><link>https://ar.falsy.cat/note/study/statistics-test/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/study/statistics-test/</guid><description>概要 統計検定とは，母集団の母数に関する帰無仮説について，棄却/受容を標本から客観的に判定する手続き 有意確率とは，帰無仮説が真だった場合に誤って棄却する確率である 統計検定において，有意確率が事前に定めた有意水準よりも小さかった場合，帰無仮説を棄却する 検定手順 帰無仮説を仮定する 帰無仮説のもとで検定したい事象が発生する確率$p$を求める $p$が事前に定めた有意水準よりも小さいならば，帰無仮説を棄却する 結論に生じうる誤り 第一種の誤り: 帰無仮説が正しい，かつ，帰無仮説を棄却してしまう 発生確率=有意確率 発生確率を設定できる 第二種の誤り: 帰無仮説が誤っている，かつ，帰無仮説を受容してしまう 発生確率は不明 発生確率を設定できない 有意水準を小さくすることで第一種の誤りは起こりにくくなるが，第二種の誤りが起こりやすくなる（トレードオフ） 大体の場合で5% 第一種の誤りが許されない場面（医療など）では1% 例 コイントスを10回して7回表が出た．コイントスは公平か？ 7回表が出る確率は$\frac{1}{2^{10}} \cdot {}_{10} \mathrm{C}_7=0.</description></item></channel></rss>
+&lt;/ul></description></item><item><title>明晰夢を利用した現実の証明</title><link>https://ar.falsy.cat/note/word-play/proof-of-reality-using-lucid-dream/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/word-play/proof-of-reality-using-lucid-dream/</guid><description>概要 今の意識が現実であることを証明する手法を論理的に導く ただの言葉遊びなので哲学的な何かは期待しないでほしい 前提 ここでは次の前提のもと議論を進める 夢を見ていることを自覚している夢を見ている，ならばかつその時に限り，明晰夢を見ている 明晰夢を見ている，ならば，全てが思い通りになる 夢でないならば現実である 証明は次の定義の元で行う 状況$A$: 夢を見ている 状況$B$: 夢を見ていることを自覚している 状況$C$: 明晰夢を見ている 状況$D$: 全てが思い通りである 証明の最終的な目標は$X\implies \overline{A}$を導くことである 証明 前提より $P_1: A\cap B\iff C$ $P_2: C \implies D$ $P_1,P_2$より，三段論法を用いて $P_3: A \cap B \implies D$ $P_3$の対偶より $P_4: \overline{D}\implies \overline{A\cap B}$ $P_4$より，ド・モルガンの公式を用いて $P_5: \overline{D}\implies \overline{A} \cup \overline{B}$ $B$は意図的に真にできるため，$P_5$より $\overline{D}\cap B \implies \overline{A}$ 結論 事前に夢を見ていることを自覚している，かつ，思い通りにならないことが存在する，ならば，それは現実である ただし，この手法では全ての現実を証明できるとは言えないことに留意されたい</description></item><item><title>片手鍋で米を炊く</title><link>https://ar.falsy.cat/note/chores/cooking-rice-with-saucepan/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/chores/cooking-rice-with-saucepan/</guid><description>概要 炊飯器が無くても米は炊ける ただし火を使う間，22分程度拘束される 手順 片手鍋で米(3合)を研ぐ 水(500ml)を入れる 蓋をして鍋ごと冷蔵庫で30分冷やす 蓋をしたまま中火で13分 弱火で3分 とろ火で6分 火を消して蓋をしたまま10分放置 補足 冷やす時間は15分程度まで短縮しても良い 短縮した場合は中火の時間も12分程度に縮める 最後の放置が結構重要 火を消した直後はまだべちゃべちゃしてる</description></item></channel></rss>

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tags/software/index.html

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tags/statistics/index.html

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+<label id=toggle-label-light for=darkmode-toggle tabindex=-1><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" id="dayIcon" viewBox="0 0 35 35" style="enable-background:new 0 0 35 35"><title>Light Mode</title><path d="M6 17.5C6 16.672 5.328 16 4.5 16h-3C.672 16 0 16.672.0 17.5S.672 19 1.5 19h3C5.328 19 6 18.328 6 17.5zM7.5 26c-.414.0-.789.168-1.061.439l-2 2C4.168 28.711 4 29.086 4 29.5 4 30.328 4.671 31 5.5 31c.414.0.789-.168 1.06-.44l2-2C8.832 28.289 9 27.914 9 27.5 9 26.672 8.329 26 7.5 26zm10-20C18.329 6 19 5.328 19 4.5v-3C19 .672 18.329.0 17.5.0S16 .672 16 1.5v3C16 5.328 16.671 6 17.5 6zm10 3c.414.0.789-.168 1.06-.439l2-2C30.832 6.289 31 5.914 31 5.5 31 4.672 30.329 4 29.5 4c-.414.0-.789.168-1.061.44l-2 2C26.168 6.711 26 7.086 26 7.5 26 8.328 26.671 9 27.5 9zM6.439 8.561C6.711 8.832 7.086 9 7.5 9 8.328 9 9 8.328 9 7.5c0-.414-.168-.789-.439-1.061l-2-2C6.289 4.168 5.914 4 5.5 4 4.672 4 4 4.672 4 5.5c0 .414.168.789.439 1.06l2 2.001zM33.5 16h-3c-.828.0-1.5.672-1.5 1.5s.672 1.5 1.5 1.5h3c.828.0 1.5-.672 1.5-1.5S34.328 16 33.5 16zM28.561 26.439C28.289 26.168 27.914 26 27.5 26c-.828.0-1.5.672-1.5 1.5.0.414.168.789.439 1.06l2 2C28.711 30.832 29.086 31 29.5 31c.828.0 1.5-.672 1.5-1.5.0-.414-.168-.789-.439-1.061l-2-2zM17.5 29c-.829.0-1.5.672-1.5 1.5v3c0 .828.671 1.5 1.5 1.5s1.5-.672 1.5-1.5v-3C19 29.672 18.329 29 17.5 29zm0-22C11.71 7 7 11.71 7 17.5S11.71 28 17.5 28 28 23.29 28 17.5 23.29 7 17.5 7zm0 18c-4.136.0-7.5-3.364-7.5-7.5s3.364-7.5 7.5-7.5 7.5 3.364 7.5 7.5S21.636 25 17.5 25z"/></svg></label><label id=toggle-label-dark for=darkmode-toggle tabindex=-1><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" id="nightIcon" viewBox="0 0 100 100" style="enable-background='new 0 0 100 100'"><title>Dark Mode</title><path d="M96.76 66.458c-.853-.852-2.15-1.064-3.23-.534-6.063 2.991-12.858 4.571-19.655 4.571C62.022 70.495 50.88 65.88 42.5 57.5 29.043 44.043 25.658 23.536 34.076 6.47c.532-1.08.318-2.379-.534-3.23-.851-.852-2.15-1.064-3.23-.534-4.918 2.427-9.375 5.619-13.246 9.491-9.447 9.447-14.65 22.008-14.65 35.369.0 13.36 5.203 25.921 14.65 35.368s22.008 14.65 35.368 14.65c13.361.0 25.921-5.203 35.369-14.65 3.872-3.871 7.064-8.328 9.491-13.246C97.826 68.608 97.611 67.309 96.76 66.458z"/></svg></label></div></header><article><h1>Tag: statistics</h1><ul class=section-ul><li class=section-li><div class=section><p class=meta>Apr 23, 2023</p><div class=desc><h3><a href=https://ar.falsy.cat/note/study/statistics-test/ class=internal-link data-src=/note/study/statistics-test/>仮説検定</a></h3></div><div class=spacer></div><ul class=tags><li><a href=https://ar.falsy.cat/tags/note/>Note</a></li><li><a href=https://ar.falsy.cat/tags/study/>Study</a></li><li><a href=https://ar.falsy.cat/tags/statistics/>Statistics</a></li></ul></div></li></ul></article><div id=contact_buttons><footer><p>Made by falsycat using <a href=https://github.com/jackyzha0/quartz>Quartz</a>, © 2023</p><ul><li><a href=https://ar.falsy.cat/>Home</a></li><li><a href=https://falsy.cat/>Portfolio</a></li><li><a href=https://falsy.cat/admin>Fediverse</a></li><li><a href=https://github.com/falsycat>GitHub</a></li><li><a href=https://youtube.com/@falsycat>YouTube</a></li></ul></footer></div></div></body></html>

tags/statistics/index.xml

@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>statistics on</title><link>https://ar.falsy.cat/tags/statistics/</link><description>Recent content in statistics on</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://ar.falsy.cat/tags/statistics/index.xml" rel="self" type="application/rss+xml"/><item><title>統計検定</title><link>https://ar.falsy.cat/note/study/statistics-test/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/study/statistics-test/</guid><description>概要 統計検定とは，母集団の母数に関する帰無仮説について，棄却/受容を標本から客観的に判定する手続き 有意確率とは，帰無仮説が真だった場合に誤って棄却する確率である 統計検定において，有意確率が事前に定めた有意水準よりも小さかった場合，帰無仮説を棄却する 検定手順 帰無仮説を仮定する 帰無仮説のもとで検定したい事象が発生する確率$p$を求める $p$が事前に定めた有意水準よりも小さいならば，帰無仮説を棄却する 結論に生じうる誤り 第一種の誤り: 帰無仮説が正しい，かつ，帰無仮説を棄却してしまう 発生確率=有意確率 発生確率を設定できる 第二種の誤り: 帰無仮説が誤っている，かつ，帰無仮説を受容してしまう 発生確率は不明 発生確率を設定できない 有意水準を小さくすることで第一種の誤りは起こりにくくなるが，第二種の誤りが起こりやすくなる（トレードオフ） 大体の場合で5% 第一種の誤りが許されない場面（医療など）では1% 例 コイントスを10回して7回表が出た．コイントスは公平か？ 7回表が出る確率は$\frac{1}{2^{10}} \cdot {}_{10} \mathrm{C}_7=0.</description></item></channel></rss>
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>statistics on</title><link>https://ar.falsy.cat/tags/statistics/</link><description>Recent content in statistics on</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://ar.falsy.cat/tags/statistics/index.xml" rel="self" type="application/rss+xml"/><item><title>仮説検定</title><link>https://ar.falsy.cat/note/study/statistics-test/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/study/statistics-test/</guid><description>概要 仮説検定とは，母集団の母数に関する帰無仮説について，棄却/受容を標本から客観的に判定する手続き 有意確率とは，帰無仮説が真だった場合に誤って棄却する確率である 仮説検定において，有意確率が事前に定めた有意水準よりも小さかった場合，帰無仮説を棄却する 検定手順 帰無仮説を仮定する 帰無仮説のもとで検定したい事象が発生する確率$p$を求める $p$が事前に定めた有意水準よりも小さいならば，帰無仮説を棄却する 結論に生じうる誤り 第一種の誤り: 帰無仮説が正しい，かつ，帰無仮説を棄却してしまう 発生確率=有意確率 発生確率を設定できる 第二種の誤り: 帰無仮説が誤っている，かつ，帰無仮説を受容してしまう 発生確率は不明 発生確率を設定できない 有意水準を小さくすることで第一種の誤りは起こりにくくなるが，第二種の誤りが起こりやすくなる（トレードオフ） 大体の場合で5% 第一種の誤りが許されない場面（医療など）では1% 例 コイントスを10回して7回表が出た．コイントスは公平か？ 7回表が出る確率は$\frac{1}{2^{10}} \cdot {}_{10} \mathrm{C}_7=0.</description></item></channel></rss>

tags/study/index.html

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-<label id=toggle-label-light for=darkmode-toggle tabindex=-1><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" id="dayIcon" viewBox="0 0 35 35" style="enable-background:new 0 0 35 35"><title>Light Mode</title><path d="M6 17.5C6 16.672 5.328 16 4.5 16h-3C.672 16 0 16.672.0 17.5S.672 19 1.5 19h3C5.328 19 6 18.328 6 17.5zM7.5 26c-.414.0-.789.168-1.061.439l-2 2C4.168 28.711 4 29.086 4 29.5 4 30.328 4.671 31 5.5 31c.414.0.789-.168 1.06-.44l2-2C8.832 28.289 9 27.914 9 27.5 9 26.672 8.329 26 7.5 26zm10-20C18.329 6 19 5.328 19 4.5v-3C19 .672 18.329.0 17.5.0S16 .672 16 1.5v3C16 5.328 16.671 6 17.5 6zm10 3c.414.0.789-.168 1.06-.439l2-2C30.832 6.289 31 5.914 31 5.5 31 4.672 30.329 4 29.5 4c-.414.0-.789.168-1.061.44l-2 2C26.168 6.711 26 7.086 26 7.5 26 8.328 26.671 9 27.5 9zM6.439 8.561C6.711 8.832 7.086 9 7.5 9 8.328 9 9 8.328 9 7.5c0-.414-.168-.789-.439-1.061l-2-2C6.289 4.168 5.914 4 5.5 4 4.672 4 4 4.672 4 5.5c0 .414.168.789.439 1.06l2 2.001zM33.5 16h-3c-.828.0-1.5.672-1.5 1.5s.672 1.5 1.5 1.5h3c.828.0 1.5-.672 1.5-1.5S34.328 16 33.5 16zM28.561 26.439C28.289 26.168 27.914 26 27.5 26c-.828.0-1.5.672-1.5 1.5.0.414.168.789.439 1.06l2 2C28.711 30.832 29.086 31 29.5 31c.828.0 1.5-.672 1.5-1.5.0-.414-.168-.789-.439-1.061l-2-2zM17.5 29c-.829.0-1.5.672-1.5 1.5v3c0 .828.671 1.5 1.5 1.5s1.5-.672 1.5-1.5v-3C19 29.672 18.329 29 17.5 29zm0-22C11.71 7 7 11.71 7 17.5S11.71 28 17.5 28 28 23.29 28 17.5 23.29 7 17.5 7zm0 18c-4.136.0-7.5-3.364-7.5-7.5s3.364-7.5 7.5-7.5 7.5 3.364 7.5 7.5S21.636 25 17.5 25z"/></svg></label><label id=toggle-label-dark for=darkmode-toggle tabindex=-1><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" id="nightIcon" viewBox="0 0 100 100" style="enable-background='new 0 0 100 100'"><title>Dark Mode</title><path d="M96.76 66.458c-.853-.852-2.15-1.064-3.23-.534-6.063 2.991-12.858 4.571-19.655 4.571C62.022 70.495 50.88 65.88 42.5 57.5 29.043 44.043 25.658 23.536 34.076 6.47c.532-1.08.318-2.379-.534-3.23-.851-.852-2.15-1.064-3.23-.534-4.918 2.427-9.375 5.619-13.246 9.491-9.447 9.447-14.65 22.008-14.65 35.369.0 13.36 5.203 25.921 14.65 35.368s22.008 14.65 35.368 14.65c13.361.0 25.921-5.203 35.369-14.65 3.872-3.871 7.064-8.328 9.491-13.246C97.826 68.608 97.611 67.309 96.76 66.458z"/></svg></label></div></header><article><h1>Tag: study</h1><ul class=section-ul><li class=section-li><div class=section><p class=meta>Apr 23, 2023</p><div class=desc><h3><a href=https://ar.falsy.cat/note/study/statistics-test/ class=internal-link data-src=/note/study/statistics-test/>統計検定</a></h3></div><div class=spacer></div><ul class=tags><li><a href=https://ar.falsy.cat/tags/note/>Note</a></li><li><a href=https://ar.falsy.cat/tags/study/>Study</a></li><li><a href=https://ar.falsy.cat/tags/statistics/>Statistics</a></li></ul></div></li></ul></article><div id=contact_buttons><footer><p>Made by falsycat using <a href=https://github.com/jackyzha0/quartz>Quartz</a>, © 2023</p><ul><li><a href=https://ar.falsy.cat/>Home</a></li><li><a href=https://falsy.cat/>Portfolio</a></li><li><a href=https://falsy.cat/admin>Fediverse</a></li><li><a href=https://github.com/falsycat>GitHub</a></li><li><a href=https://youtube.com/@falsycat>YouTube</a></li></ul></footer></div></div></body></html>
+<label id=toggle-label-light for=darkmode-toggle tabindex=-1><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" id="dayIcon" viewBox="0 0 35 35" style="enable-background:new 0 0 35 35"><title>Light Mode</title><path d="M6 17.5C6 16.672 5.328 16 4.5 16h-3C.672 16 0 16.672.0 17.5S.672 19 1.5 19h3C5.328 19 6 18.328 6 17.5zM7.5 26c-.414.0-.789.168-1.061.439l-2 2C4.168 28.711 4 29.086 4 29.5 4 30.328 4.671 31 5.5 31c.414.0.789-.168 1.06-.44l2-2C8.832 28.289 9 27.914 9 27.5 9 26.672 8.329 26 7.5 26zm10-20C18.329 6 19 5.328 19 4.5v-3C19 .672 18.329.0 17.5.0S16 .672 16 1.5v3C16 5.328 16.671 6 17.5 6zm10 3c.414.0.789-.168 1.06-.439l2-2C30.832 6.289 31 5.914 31 5.5 31 4.672 30.329 4 29.5 4c-.414.0-.789.168-1.061.44l-2 2C26.168 6.711 26 7.086 26 7.5 26 8.328 26.671 9 27.5 9zM6.439 8.561C6.711 8.832 7.086 9 7.5 9 8.328 9 9 8.328 9 7.5c0-.414-.168-.789-.439-1.061l-2-2C6.289 4.168 5.914 4 5.5 4 4.672 4 4 4.672 4 5.5c0 .414.168.789.439 1.06l2 2.001zM33.5 16h-3c-.828.0-1.5.672-1.5 1.5s.672 1.5 1.5 1.5h3c.828.0 1.5-.672 1.5-1.5S34.328 16 33.5 16zM28.561 26.439C28.289 26.168 27.914 26 27.5 26c-.828.0-1.5.672-1.5 1.5.0.414.168.789.439 1.06l2 2C28.711 30.832 29.086 31 29.5 31c.828.0 1.5-.672 1.5-1.5.0-.414-.168-.789-.439-1.061l-2-2zM17.5 29c-.829.0-1.5.672-1.5 1.5v3c0 .828.671 1.5 1.5 1.5s1.5-.672 1.5-1.5v-3C19 29.672 18.329 29 17.5 29zm0-22C11.71 7 7 11.71 7 17.5S11.71 28 17.5 28 28 23.29 28 17.5 23.29 7 17.5 7zm0 18c-4.136.0-7.5-3.364-7.5-7.5s3.364-7.5 7.5-7.5 7.5 3.364 7.5 7.5S21.636 25 17.5 25z"/></svg></label><label id=toggle-label-dark for=darkmode-toggle tabindex=-1><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" id="nightIcon" viewBox="0 0 100 100" style="enable-background='new 0 0 100 100'"><title>Dark Mode</title><path d="M96.76 66.458c-.853-.852-2.15-1.064-3.23-.534-6.063 2.991-12.858 4.571-19.655 4.571C62.022 70.495 50.88 65.88 42.5 57.5 29.043 44.043 25.658 23.536 34.076 6.47c.532-1.08.318-2.379-.534-3.23-.851-.852-2.15-1.064-3.23-.534-4.918 2.427-9.375 5.619-13.246 9.491-9.447 9.447-14.65 22.008-14.65 35.369.0 13.36 5.203 25.921 14.65 35.368s22.008 14.65 35.368 14.65c13.361.0 25.921-5.203 35.369-14.65 3.872-3.871 7.064-8.328 9.491-13.246C97.826 68.608 97.611 67.309 96.76 66.458z"/></svg></label></div></header><article><h1>Tag: study</h1><ul class=section-ul><li class=section-li><div class=section><p class=meta>Apr 23, 2023</p><div class=desc><h3><a href=https://ar.falsy.cat/note/study/statistics-test/ class=internal-link data-src=/note/study/statistics-test/>仮説検定</a></h3></div><div class=spacer></div><ul class=tags><li><a href=https://ar.falsy.cat/tags/note/>Note</a></li><li><a href=https://ar.falsy.cat/tags/study/>Study</a></li><li><a href=https://ar.falsy.cat/tags/statistics/>Statistics</a></li></ul></div></li></ul></article><div id=contact_buttons><footer><p>Made by falsycat using <a href=https://github.com/jackyzha0/quartz>Quartz</a>, © 2023</p><ul><li><a href=https://ar.falsy.cat/>Home</a></li><li><a href=https://falsy.cat/>Portfolio</a></li><li><a href=https://falsy.cat/admin>Fediverse</a></li><li><a href=https://github.com/falsycat>GitHub</a></li><li><a href=https://youtube.com/@falsycat>YouTube</a></li></ul></footer></div></div></body></html>

tags/study/index.xml

@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>study on</title><link>https://ar.falsy.cat/tags/study/</link><description>Recent content in study on</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://ar.falsy.cat/tags/study/index.xml" rel="self" type="application/rss+xml"/><item><title>統計検定</title><link>https://ar.falsy.cat/note/study/statistics-test/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/study/statistics-test/</guid><description>概要 統計検定とは，母集団の母数に関する帰無仮説について，棄却/受容を標本から客観的に判定する手続き 有意確率とは，帰無仮説が真だった場合に誤って棄却する確率である 統計検定において，有意確率が事前に定めた有意水準よりも小さかった場合，帰無仮説を棄却する 検定手順 帰無仮説を仮定する 帰無仮説のもとで検定したい事象が発生する確率$p$を求める $p$が事前に定めた有意水準よりも小さいならば，帰無仮説を棄却する 結論に生じうる誤り 第一種の誤り: 帰無仮説が正しい，かつ，帰無仮説を棄却してしまう 発生確率=有意確率 発生確率を設定できる 第二種の誤り: 帰無仮説が誤っている，かつ，帰無仮説を受容してしまう 発生確率は不明 発生確率を設定できない 有意水準を小さくすることで第一種の誤りは起こりにくくなるが，第二種の誤りが起こりやすくなる（トレードオフ） 大体の場合で5% 第一種の誤りが許されない場面（医療など）では1% 例 コイントスを10回して7回表が出た．コイントスは公平か？ 7回表が出る確率は$\frac{1}{2^{10}} \cdot {}_{10} \mathrm{C}_7=0.</description></item></channel></rss>
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>study on</title><link>https://ar.falsy.cat/tags/study/</link><description>Recent content in study on</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://ar.falsy.cat/tags/study/index.xml" rel="self" type="application/rss+xml"/><item><title>仮説検定</title><link>https://ar.falsy.cat/note/study/statistics-test/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ar.falsy.cat/note/study/statistics-test/</guid><description>概要 仮説検定とは，母集団の母数に関する帰無仮説について，棄却/受容を標本から客観的に判定する手続き 有意確率とは，帰無仮説が真だった場合に誤って棄却する確率である 仮説検定において，有意確率が事前に定めた有意水準よりも小さかった場合，帰無仮説を棄却する 検定手順 帰無仮説を仮定する 帰無仮説のもとで検定したい事象が発生する確率$p$を求める $p$が事前に定めた有意水準よりも小さいならば，帰無仮説を棄却する 結論に生じうる誤り 第一種の誤り: 帰無仮説が正しい，かつ，帰無仮説を棄却してしまう 発生確率=有意確率 発生確率を設定できる 第二種の誤り: 帰無仮説が誤っている，かつ，帰無仮説を受容してしまう 発生確率は不明 発生確率を設定できない 有意水準を小さくすることで第一種の誤りは起こりにくくなるが，第二種の誤りが起こりやすくなる（トレードオフ） 大体の場合で5% 第一種の誤りが許されない場面（医療など）では1% 例 コイントスを10回して7回表が出た．コイントスは公平か？ 7回表が出る確率は$\frac{1}{2^{10}} \cdot {}_{10} \mathrm{C}_7=0.</description></item></channel></rss>

tags/tool/index.html

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tags/travel/index.html

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tags/virtualization/index.html

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tags/web/index.html

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tags/word-play/index.html

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