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- median:function(a,c,d){if(d<=(a+c)/2)return c-b.sqrt((c-a)*(c-d))/b.sqrt(2);if(d>(a+c)/2)return a+b.sqrt((c-a)*(d-a))/b.sqrt(2)},mode:function(a,b,c){return c},sample:function(a76 KB (14,744 words) - 01:00, 1 September 2023
- [math]\displaystyle{ p }[/math] is computed as: [math]\displaystyle{ \sigma_p=\sqrt{\frac{p(1-p)}{\sum^n_{i=1}w_i - b}} }[/math] where [math]\displaystyle{ b=129 KB (3,570 words) - 14:50, 19 April 2023
- {\displaystyle {\tilde {\bar {x}}}\pm z_{\alpha /2}{\sqrt {\frac {{\tilde {\bar {x}}}(1-{\tilde {\bar {x}}})}{\tilde {n}}}}} where:4 KB (632 words) - 22:56, 2 June 2021
- {\displaystyle t={\frac {{\bar {x}}-{\bar {y}}}{\sqrt {s_{\bar {x}}^{2}+s_{\bar {y}}^{2}}}}} , where:732 bytes (163 words) - 01:07, 17 November 2020
- median:function(a,c,d){if(d<=(a+c)/2)return c-b.sqrt((c-a)*(c-d))/b.sqrt(2);if(d>(a+c)/2)return a+b.sqrt((c-a)*(d-a))/b.sqrt(2)},mode:function(a,b,c){return c},sample:function(a39 KB (9,653 words) - 15:38, 24 May 2023
- formula for the sample standard deviation is: [math]\displaystyle{ \sigma_{x}=\sqrt{\frac{\sum^n_{i=1}(x_i -\frac{\sum^n_{i=1}x_i }{n})^2}{n-1}} }[/math] where17 KB (2,597 words) - 15:47, 27 June 2023
- median:function(a,c,d){if(d<=(a+c)/2)return c-b.sqrt((c-a)*(c-d))/b.sqrt(2);if(d>(a+c)/2)return a+b.sqrt((c-a)*(d-a))/b.sqrt(2)},mode:function(a,b,c){return c},sample:function(a40 KB (9,709 words) - 19:08, 22 May 2023
- {\displaystyle mr_{t}={\frac {{\bar {x}}_{1}-{\bar {x}}_{2}}{{\sqrt {\frac {e_{1}max(1,e_{1}-b)s_{{\bar {x}}_{1}}^{2}+e_{2}max(e_{2}-b,1)s_{{\bar2 KB (515 words) - 05:19, 25 July 2019
- obtained using the following formula: [math]\displaystyle{ SE_{\beta_j}=\sqrt{\frac{\sum^I_i\epsilon_i^2}{I-J-1}(X^TX)^{-1}_{jj}} }[/math] where [math]\displaystyle{21 KB (3,241 words) - 14:59, 28 April 2023
- {\displaystyle t={\frac {{\bar {x}}-{\bar {y}}}{\sqrt {{\frac {s_{x}^{2}}{m}}+{\frac {s_{y}^{2}}{n}}}}}} where:898 bytes (215 words) - 21:51, 17 November 2019
- {\displaystyle t={\frac {g_{1}-g_{2}}{\sqrt {d_{eff}(se_{1}^{2}+se_{2}^{2})}}}} , where: p787 bytes (196 words) - 05:08, 17 November 2020
- ") c("Ave." = ave <- wtd.mean(x, w), N = N, "Miss." = n - N, "St.Dev." = sqrt(wtd.var(x, w)), "Range" = as.numeric(five[5] - five[1]), Sum = ave * sum(w)4 KB (422 words) - 00:36, 8 April 2024
- step3 = (shortestArrayLength * sum_y2) - (sum_y * sum_y); var step4 = Math.sqrt(step2 * step3); var answer = step1 / step4; return answer;} pearsonCorrelation(v14 KB (627 words) - 05:47, 4 September 2020
- √{{{1}}} [create] Template documentation235 bytes (4 words) - 10:57, 29 January 2012
- of correlations was computed using (1 - R2)/sqrt(n - 1). This is not correct. It now is computed using sqrt((1-R2)/(n-2)). The statistical tests were using85 KB (10,650 words) - 01:54, 8 May 2024
- averages[r][0]; var left_se = se[r][0]; var right_se = se[r][1]; var pooled_se = Math.sqrt(left_se*left_se + right_se*right_se) var t = diff/pooled_se; z[r][0] = -t;6 KB (987 words) - 21:14, 15 June 2023
- temporary variable names nameSequentialVariables(new_r_question.variables, "sqrt.vals"); if (!is_displayr && give_warning) log(warning_message); reportNe6 KB (881 words) - 00:51, 8 May 2023
- median:function(a,c,d){if(d<=(a+c)/2)return c-b.sqrt((c-a)*(c-d))/b.sqrt(2);if(d>(a+c)/2)return a+b.sqrt((c-a)*(d-a))/b.sqrt(2)},mode:function(a,b,c){return c},sample:function(a50 KB (11,144 words) - 00:52, 8 May 2023
- isNaN(xx[i])) tmp_sd += (xx[i] - mean) * (xx[i] - mean); } let sd = Math.sqrt(tmp_sd/(n-1)) let outliers = false; let min_permissable = mean - number_sd_from_mean8 KB (1,186 words) - 20:18, 19 July 2023
- se[r][left_column]; let right_se = se[r][right_column]; let pooled_se = Math.sqrt(left_se*left_se + right_se*right_se) let t = diff/pooled_se; if (t < -lower_tstat)5 KB (988 words) - 00:51, 8 May 2023