$135.54, the median of the data set is $31.27, the first quartile is $17.15, and the third quartile is $53.67. Additionally, the mean is $38.45 and the standard deviation is $28.04.

those included in the five number summary as well as the mean

and standard deviation, one can infer that the amount of money

spent at a grocery store can easily vary from one consumer to another. Using inferential statistics, it is evident that the amount spent at a store definitely  vary far more than those values given in the sampled population. According to our findings, although the least amount spent was $2.32 and the greatest amount spent was $135.54, most of the data falls within the standard deviation, meaning that a great amount of people typically spent between $10.41 and $66.49. This proves to be logical because both the first and third quartiles fall in this range. The shape shows the frequency of the values while the center emphasizes the frequency relative to the mean. In conclusion, the values that our group found compliment our findings with the histogram and box-and-whiskers plot.

key features that  the

box-and-whiskers plot does not.

A noticeable difference is that the

histogram demonstrates the

prevalence of each individual

value of the sample rather than

only the sample as a whole.

This helps us be able to better 

compare the range of numbers in

the set. Although it does not show

specific quartiles, the histogram

is essential for showcasing the

frequency and absence of

certain values within the set. It

makes it easier for us to ultimately

get a better idea of how high or low

the majority of the values fall with

respect to the sample as a whole.