The employees of a soda bottling plant are examining the amount of soda in milliliters that is in each can before and after a new dispenser was installed. The employees measured the amount in a sample of cans before the new dispenser was installed and then after the installation. The results are provided in the table below. Explain the measure that should be used to determine whether the new dispenser is filling the cans close to the desired 355ml on average.



(1 point)
Responses

The range should be used because there are no outliers in both data sets.
The range should be used because there are no outliers in both data sets.

The interquartile range should be used because there is one outlier before the new dispenser was installed and after it was installed.
The interquartile range should be used because there is one outlier before the new dispenser was installed and after it was installed.

The median should be used because there is one outlier before the new dispenser was installed.
The median should be used because there is one outlier before the new dispenser was installed.

The mean should be used because both distributions are symmetric, and both data sets do not have any outliers.
The mean should be used because both distributions are symmetric, and both data sets do not have any outliers.
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The mean should be used because both distributions are symmetric, and both data sets do not have any outliers. The mean is a measure of central tendency that takes into account all the values in the data set, making it a good measure to determine if the new dispenser is filling the cans close to the desired 355ml on average.