## Code Challenges

- FizzBuzz
- Mean of a List
- Median of a List
- Variance of a List
- Standard Deviation of a List
- Sample Covariance
- Correlation Coefficient
- Simple Linear Regression
- Vector Dot Product
- Random Matrix

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## Loading Runtime

Create a function called `sample_covariance`

.

This function will be passed two lists of numbers of equal length and should return the ** sample covariance** of the two lists.

As a reminder, the equation for sample covariance is as follows:

Where:

`x`

and`y`

represent our two lists (random variables)`n`

is the sample size`x_bar`

is the mean of the`x`

variable list`y_bar`

is the mean of the`y`

variable list`(x_i - x_bar)(y_i - y_bar)`

represents finding the product of the two deviations (which we will calculate for each pair of values across the two lists in an element-wise fashion)

The final number that is returned by your function must be accurate to two decimal places, but does not need to be rounded to two decimal places.

### Example:

`sample_covariance([3,6,8,4,5,9], [8,5,3,0,4,3])`

Returns: `-1.833333333333333`

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