In a dataset, the median value can provide an important comparison to the mean. Unlike a mean, the median is not affected by outliers. This becomes important in *skewed* datasets, datasets whose values are not distributed evenly. Let’s write a program that explores this idea further.

### Instructions

**1.**

The company that you work for wants to know the average amount of time someone spends on the company website in minutes. We’ve imported this dataset into your program as `time_spent`

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Press ‘Run’ to print the data set to the terminal, and take a look at the values.

**2.**

Find the average amount of time in minutes spent on the website and save it to the variable `minutes_mean`

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**3.**

Now, find the median of the array and save it to the variable `minutes_median`

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**4.**

Print the mean and the median to the terminal.

**5.**

Take a moment to notice the difference between the two values. Which one do you think **best** represents the majority of the data present?

Choose the variable that represents this value, and save it to the variable `best_measure`

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