Construct and explain a histogram regarding nationwide officer involved shootings resulting in fatalities using the following data 2015 = 995, 2016 = 963, 2017 = 987, and 2018 = 998
Solution:-
Year | Frequency | Relative Frequency | Cumulative Frequency | Cumulative relative Frequency | |
2015 | 995 | 995/3943=
|
995 | 0.252346 | |
2016 | 963 | 963/3943=
|
995+963=1958 | 0.252346+0.24423=0.496576 | |
2017 | 987 | 987/3943=
|
1958+987=2945 | 0.496576+0.250317=0.746893 | |
2018 | 998 | 998/3943=
|
2945+998=3943 | 0.746893+0.253107=1 | |
Total |
|
1 |
Histogram:-
from the graph we can conclude that the nationwide officers involved shootings resulting in fatalities distribution are distributed Uniformly.
Construct and explain a histogram regarding nationwide officer involved shootings resulting in fatalities using the following...
Construct and explain a histogram by choosing an external law enforcement related data series. Examples of external data are reports published by the FBI or NIJ. include the following three elements: frequency distribution table for the data selected (includes cumulative frequency, relative frequency, and cumulative relative frequency) histogram graph based on the frequency distribution summary paragraph discussing observations and conclusions