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Fix a couple typos in 01_02_notation #44

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9d5e636
Fix a couple typos in 01_02_notation
data-nerd Jun 4, 2014
19842ff
Merge remote-tracking branch 'upstream/master'
data-nerd Sep 2, 2014
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6 changes: 3 additions & 3 deletions 07_RegressionModels/01_02_notation/index.Rmd
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Expand Up @@ -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.

---

Expand Down Expand Up @@ -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
$$
Expand All @@ -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
$$
Expand Down
6 changes: 3 additions & 3 deletions 07_RegressionModels/01_02_notation/index.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -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.

---

Expand Down Expand Up @@ -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
$$
Expand All @@ -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
$$
Expand Down