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Added some missing static files

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Brandon Rozek 2025-05-09 21:06:34 -04:00
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content/blog/2017-03-07-uniformity-math-random.md
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@ -41,7 +41,7 @@ grep -oE '[0-9]+' Random.csv > Random_corrected.csv
Do this with all three files and make sure to keep track of which is which.
Here are a copy of my files for [Firefox](https://brandonrozek.com/wp-content/uploads/2017/03/Firefox_corrected.csv), [Chrome](https://brandonrozek.com/wp-content/uploads/2017/03/Chrome_corrected-1.csv), and [IE11](https://brandonrozek.com/wp-content/uploads/2017/03/IE11_corrected.csv)
Here are a copy of my files for [Firefox](/data/browser-random/Firefox_corrected.csv), [Chrome](/data/browser-random/Chrome_corrected-1.csv), and [IE11](/data/browser-random/IE11_corrected.csv)
## Check Conditions
@ -70,19 +70,19 @@ ie11 = read.csv("~/IE11_corrected.csv", header = F)
hist(ie11$V1, main = "Distribution of Random Values for IE11", xlab = "Random Value")
```
![](https://brandonrozek.com/wp-content/uploads/2017/03/ie11hist.png)
![](/files/images/blog/ie11hist.png)
```R
hist(firefox$V1, main = "Distribution of Random Values for Firefox", xlab = "Random Value")
```
![](https://brandonrozek.com/wp-content/uploads/2017/03/firefoxhist.png)
![](/files/images/blog/firefoxhist.png)
```R
hist(chrome$V1, main = "Distribution of Random Values for Chrome", xlab = "Random Value")
```
![](https://brandonrozek.com/wp-content/uploads/2017/03/chromehist.png)
![](/files/images/blog/chromehist.png)
## Chi-Square Test
@ -134,4 +134,4 @@ As you can see in the test results below, we fail to reject the null hypothesis
## Conclusion
At a 5% significance level, we fail to obtain enough evidence to suggest that the distribution of random number is not uniform. This is a good thing since it shows us that our random number generators give all numbers an equal chance of being represented. We can use `Math.random()` with ease of mind.
At a 5% significance level, we fail to obtain enough evidence to suggest that the distribution of random number is not uniform. This is a good thing since it shows us that our random number generators give all numbers an equal chance of being represented. We can use `Math.random()` with ease of mind.