From bd3bcc65ae5b3742d2ad7d1eee3fb1f4c3479e44 Mon Sep 17 00:00:00 2001 From: Jake D Date: Thu, 9 Nov 2023 13:12:23 -0800 Subject: [PATCH] Minor typo fixes. --- chapters/13/2/Bootstrap.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/chapters/13/2/Bootstrap.ipynb b/chapters/13/2/Bootstrap.ipynb index 2157e83dc..bef72666c 100644 --- a/chapters/13/2/Bootstrap.ipynb +++ b/chapters/13/2/Bootstrap.ipynb @@ -632,7 +632,7 @@ "source": [ "## Bootstrap Empirical Distribution of the Sample Median\n", "\n", - "We can now repeat the bootstrap process multiple times by running a `for` loop as usual. In each iteration, we will call the function `one_bootstrap_median` to generate one value of the bootstrapped median based on our original sample `our_sample`. Then we will append the boostrapped median to the collection array `bstrap_medians`.\n", + "We can now repeat the bootstrap process multiple times by running a `for` loop as usual. In each iteration, we will call the function `one_bootstrap_median` to generate one value of the bootstrapped median based on our original sample `our_sample`. Then we will append the bootstrapped median to the collection array `bstrap_medians`.\n", "\n", "Since we are asking for 5000 repetitions, the code might take a while to run. It has a lot of resampling to do!" ] @@ -797,7 +797,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We will start by writing a function `bootstrap_median` that takes two arguments: the name of the table containing the original random sample, and the number of bootstrap samples to draw. It returns an array of bootstrapped medians, one from each boostrap sample." + "We will start by writing a function `bootstrap_median` that takes two arguments: the name of the table containing the original random sample, and the number of bootstrap samples to draw. It returns an array of bootstrapped medians, one from each bootstrap sample." ] }, {