Received: from [192.168.123.254] (port=54792 helo=jukni.digitalkingdom.org) by stodi.digitalkingdom.org with smtp (Exim 4.92) (envelope-from ) id 1jGCNR-0005vK-J6 for jbovlaste-admin@lojban.org; Sun, 22 Mar 2020 18:59:44 -0700 Received: by jukni.digitalkingdom.org (sSMTP sendmail emulation); Sun, 22 Mar 2020 18:59:41 -0700 From: "Apache" To: gleki.is.my.name@gmail.com, curtis289@att.net Reply-To: webmaster@lojban.org Subject: [jvsw] Definition Edited At Word zu'oi -- By krtisfranks Date: Sun, 22 Mar 2020 18:59:41 -0700 MIME-Version: 1.0 Content-Type: text/plain; charset="UTF-8" Message-Id: X-Spam-Score: -2.9 (--) X-Spam_score: -2.9 X-Spam_score_int: -28 X-Spam_bar: -- In jbovlaste, the user krtisfranks has edited a definition of "zu'oi" in the language "English". Differences: 5,5c5,5 < If $X_2 = 0$, then $X_1$ is to be interpreted as a quantile and the output is the corresponding (canonical-gaussian) z-score; if $X_2 = 1$ (which is the default), then $X_1$ is to be interpreted as the area below the canonical gaussian and between the output number of standard deviations from the mean of the canonical gaussian. Thus, zu'oi($X_1$, 1) = zu'oi((1/2) + ($X_1$ / 2), 0). Example: zu'oi(.95, 1) = zu'oi(.975, 0) ~ 1.959964; for more information on this example, see: https://en.wikipedia.org/wiki/1.96 . For the purposes of this definition, the canonical guassian is such that its mean is 0 and its standard deviation is 1. This number is used in confidence interval calculations, via the sample mean and standard error. --- > If $X_2 = 0$, then $X_1$ is to be interpreted as a quantile and the output is the corresponding (canonical-gaussian) z-score; if $X_2 = 1$ (which is the default), then $X_1$ is to be interpreted as the area below the canonical gaussian and between the output number of standard deviations from the mean of the canonical gaussian. Thus, zu'oi($X_1$, 1) = zu'oi((1/2) + ($X_1$ / 2), 0). Example: zu'oi(.95, 1) = zu'oi(.975, 0) $\approx$ 1.959964...; for more information on this example, see: https://en.wikipedia.org/wiki/1.96 . For the purposes of this definition, the canonical guassian is such that its mean is 0 and its standard deviation is 1. This number is used in confidence interval calculations, via the sample mean and standard error. 10a11,11 \n> Word: 1.92, In Sense: approximate; a.k.a.: standard normal deviate, 97.5th percentile point, .975 point 13,13d13 < Word: 1.92, In Sense: approximate; a.k.a.: standard normal deviate, 97.5th percentile point, .975 point \n Old Data: Definition: mekso; binary operator: z-score for the $X_1$ quantile; $X_2$ (default: 1) acts as the descriptor toggle (see notes). Notes: If $X_2 = 0$, then $X_1$ is to be interpreted as a quantile and the output is the corresponding (canonical-gaussian) z-score; if $X_2 = 1$ (which is the default), then $X_1$ is to be interpreted as the area below the canonical gaussian and between the output number of standard deviations from the mean of the canonical gaussian. Thus, zu'oi($X_1$, 1) = zu'oi((1/2) + ($X_1$ / 2), 0). Example: zu'oi(.95, 1) = zu'oi(.975, 0) ~ 1.959964; for more information on this example, see: https://en.wikipedia.org/wiki/1.96 . For the purposes of this definition, the canonical guassian is such that its mean is 0 and its standard deviation is 1. This number is used in confidence interval calculations, via the sample mean and standard error. Jargon: Gloss Keywords: Word: standard normal deviate, In Sense: Word: z point, In Sense: Word: 1.92, In Sense: approximate; a.k.a.: standard normal deviate, 97.5th percentile point, .975 point Place Keywords: New Data: Definition: mekso; binary operator: z-score for the $X_1$ quantile; $X_2$ (default: 1) acts as the descriptor toggle (see notes). Notes: If $X_2 = 0$, then $X_1$ is to be interpreted as a quantile and the output is the corresponding (canonical-gaussian) z-score; if $X_2 = 1$ (which is the default), then $X_1$ is to be interpreted as the area below the canonical gaussian and between the output number of standard deviations from the mean of the canonical gaussian. Thus, zu'oi($X_1$, 1) = zu'oi((1/2) + ($X_1$ / 2), 0). Example: zu'oi(.95, 1) = zu'oi(.975, 0) $\approx$ 1.959964...; for more information on this example, see: https://en.wikipedia.org/wiki/1.96 . For the purposes of this definition, the canonical guassian is such that its mean is 0 and its standard deviation is 1. This number is used in confidence interval calculations, via the sample mean and standard error. Jargon: Gloss Keywords: Word: 1.92, In Sense: approximate; a.k.a.: standard normal deviate, 97.5th percentile point, .975 point Word: standard normal deviate, In Sense: Word: z point, In Sense: Place Keywords: You can go to to see it.