confidence_interval.Rmd

---
title: "R Notebook"
output: html_notebook
---

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```{r}
#Load in your 20 viral scaffolds data set (you may need to get this file from Emily, Nada, or Amanda if you don't have it already.)
#twenty_viral_scaffolds <- 

#twenty_viral_scaffolds
```

```{r}
#In order to write a function to calculate a 95% confidence interval for the mean of the 20 scaffolds data set, you will need to use a function called qt(), which outputs the t-value for a given confidence level and sample size.

#For example, if I want the two-tailed t-value for a confidence level of 95% and a sample size of 50, I would write:

qt(p=0.975, df = 49)

#We use p = 0.975, and not p = 0.95, because this is a two-tailed test: 1 - 0.975 is 0.025, and so the margin of error contains the mean +/- t at 0.025, or a total error of 0.05.
```

```{r}
#Write a function to output a confidence interval, based on the formula we discussed today, and using the function qt() to generate the t-value at a given confidence level.

conf_int <- 


  
#Calculate the 95% confidence interval for the twenty scaffolds data set.




```

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