From 9d5e6365678dea9bc3326f7787964be6042f7cb5 Mon Sep 17 00:00:00 2001 From: data-nerd Date: Tue, 3 Jun 2014 20:57:47 -0700 Subject: [PATCH] Fix a couple typos in 01_02_notation Only updated the .Rmd and .md files, not the .html file. Knitting generated a radically different .html which I wasn't confident enough to check in. I probably need some packages... guess I'll find out in Developing Data Products! --- 07_RegressionModels/01_02_notation/index.Rmd | 6 +++--- 07_RegressionModels/01_02_notation/index.md | 6 +++--- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/07_RegressionModels/01_02_notation/index.Rmd b/07_RegressionModels/01_02_notation/index.Rmd index 040699101..e66d33fcf 100644 --- a/07_RegressionModels/01_02_notation/index.Rmd +++ b/07_RegressionModels/01_02_notation/index.Rmd @@ -18,7 +18,7 @@ mode : selfcontained # {standalone, draft} * In this module, we'll cover some basic definitions and notation used throughout the class. * We will try to minimize the amount of mathematics required for this class. -* No caclculus is required. +* No calculus is required. --- @@ -48,7 +48,7 @@ $$ $$ The the mean of the $\tilde X_i$ is 0. * This process is called "centering" the random variables. -* The mean is a measure of central tendancy of the data. +* The mean is a measure of central tendency of the data. * Recall from the previous lecture that the mean is the least squares solution for minimizing $$ @@ -57,7 +57,7 @@ The the mean of the $\tilde X_i$ is 0. --- -## The emprical standard deviation and variance +## The empirical standard deviation and variance * Define the empirical variance as $$ diff --git a/07_RegressionModels/01_02_notation/index.md b/07_RegressionModels/01_02_notation/index.md index 075a6e02b..eb86cc2bd 100644 --- a/07_RegressionModels/01_02_notation/index.md +++ b/07_RegressionModels/01_02_notation/index.md @@ -18,7 +18,7 @@ mode : selfcontained # {standalone, draft} * In this module, we'll cover some basic definitions and notation used throughout the class. * We will try to minimize the amount of mathematics required for this class. -* No caclculus is required. +* No calculus is required. --- @@ -48,7 +48,7 @@ $$ $$ The the mean of the $\tilde X_i$ is 0. * This process is called "centering" the random variables. -* The mean is a measure of central tendancy of the data. +* The mean is a measure of central tendency of the data. * Recall from the previous lecture that the mean is the least squares solution for minimizing $$ @@ -57,7 +57,7 @@ The the mean of the $\tilde X_i$ is 0. --- -## The emprical standard deviation and variance +## The empirical standard deviation and variance * Define the empirical variance as $$