Clarence collected data from a random sample of 900 working residents in his town asking whether or not they commute less than 10 miles to work. Based on the results, he reports that 54% of the working residents in his state commute less than 10 miles to work. Why is this statistic misleading?

Sample is biased

Step-by-step explanation:

If data contains an outlier therefore it is not possible for a single outlier to demonstrate such a dominant outcome for the sample statistics.

It would seem that the sample is biassed, and therefore it contains peoples commuting to work for less than 10 miles. And this can be the consequence.

Although the sample size is 900 and therefore sufficient size is required to come to conclusions.

step-by-step explanation:

the options are kind of confusing. i can tell you what i see going on here when i look at the graph.

the class and exam medians are closely related, and it looks like the low outlier on the exam did pull the median lower. [tex][/tex]