I used the following code to retrieve a confidence level for my data:

```
c <- t.test(my_data$my_col, conf.level = 0.95)
c
```

This returns something like:

```
data: my_data$my_column
t = 30, df = 20, p-value < 2.1e-14
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
62.23191 80.11201
sample estimates:
mean of x
75.10457
```

I’ve tried doing:

```
c[4][1]
```

But this returns:

```
$conf.int
[1] 62.23191 80.11201
attr(,"conf.level")
[1] 0.95
```

How do I specifically get the lower bound and upper bound from this respectively? (i.e. how do I extract 62.23191 and 80.11201 as variables?)

### >Solution :

The output from `t.test()`

is a list.

To access the confidence intervals use `c$conf.int[1]`

& `c$conf.int[2]`

Example:

```
c<-t.test(1:10, y = c(7:20))
out$conf.int
#[1] -11.052802 -4.947198
#attr(,"conf.level")
#[1] 0.95
out$conf.int[1]
#[1] -11.0528
out$conf.int[2]
#[1] -4.947198
```