Answer:
Usually, the presence of an outlier indicates some sort of problem. This can be a case which does not fit the model under study, or an error in measurement. Outliers are often easy to spot in histograms.
Step-by-step explanation:
It is similar to a Bar Chart, but a histogram groups numbers into ranges
The air resistance acting on the un-crumbled sheet is greater.
Answer:
under the 48 is -24
on the right side of 6 is -5
on the right side of 48 is -40
What we can say with a good deal of certainty is that our sample is biased towards the higher spectrum and that the real value of the mean for our population is lower than the obtained value of our sample. If this is true, we should expect for the standard deviation to be higher than in the population.
