Robert is using the following data samples to make a claim about the house values in his neighborhood: house value a $250,000 b $275,000 c $300,000 d $267,000 e $250,000 based on the data, should robert use the mean or the median to make an inference about the house values in his neighborhood?

He should use the mean because there are no outliers that affect the mean

Step-by-step explanation:

The mean is ($250,000 + $275,000 + $300,000 + $267,000 + $250,000)/5 = $268,400

To calculate the median we have to order the values from least to greatest:  

$250,000 - $250,000 - $267,000 - $275,000 - $300,000

and then take the number that is halfway into the set. In this case, the median is $267,000

Median value is preferred when an outlier is present because in that case mean value loss representability of the sample. In this case mean and median are similar, there are no outliers, and mean should be used to make an inference.

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step-by-step explanation:

step-by-step explanation:

consider an orange peel: if you want to try and lay it flat, you have to stretch it, we know exactly how things are being stretched or squashed at any given point. we have many different map projections because each has different patterns of some projections can even preserve certain features of the earth without