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Florida International University *

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MISC

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Statistics

Date

Feb 20, 2024

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docx

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Uploaded by carlosbellido1551

1. Go to data view, how many cases (observations) are there in total? What is the unit of analysis here? There are 72 observation cases in total. The unit of analysis here are police officers. 2. Go to variable view, focus on the variable “Officer Age.” Create a histogram of officer’s age. Paste your screenshot here. Do you observe an age range in which most officers who pulled the trigger were clustered in this age range? What is the range? Yes, I do observe an age range in which most officers who pulled the trigger were clustered being between the age range of 32-37 years. 3. Is it common to see a 27 year old officer in Orlando to use deadly force? Why? Yes, it is common to see a 27-year-old officer in Orlando to use deadly force because the histogram shows that between the ages of 25- to 50-year-old officers in Orlando commit use of deadly force. 4. Is it common to see a 50 year old officer in Orlando to use deadly force? Why? Yes, it is still common to see a 50-year-old officer in Orlando to use deadly force because just like the previous question the histogram shows that until the age of 50 years old, officers in Orlando still use deadly force. 5. Now use the officer Tenure variable to create a histogram. This variable indicates the total years an officer has worked in Orlando PD. Paste your screenshot here. Determine the tenure rage (in years) in which it is most common to see an officer to draw the gun when on duty.

The tenure range in years in which it is most common to see an officer draw a gun when on duty is between 5-10 years of their officer tenure. 6. Is it common to see an officer who has worked for 25 years to use deadly force? Why? Yes, it is common to see an officer who has worked for 25 years to use deadly force because the officer tenure histogram shows that from 25-30 years it is still active. 7. Go to analyze—descriptive statistics—frequencies, put the variable “suspects weapon” under variables, click on charts, and click “bar charts”—“continue,” the click ok. Now look at the table and chart created. Paste your screenshot here. What type of measurement (variable) is this? Is this in normal distribution? The type of measurement is quantitative and no, this that in normal distribution because there is not a bell-shaped curve in the ‘’suspects weapon’’ chart which shows most data frequencies clustered toward the middle of the range rather, it does not show a constant rise.

8. In officer-involved shooting cases, what is the most frequently used weapon by the suspects? In officer-involved shooting cases the most frequently used weapon by the suspects are handguns. 9. Use the bar charts function again, examine the variable suspect Hit. Look at the table and chart for this variable. Paste screenshot here. What is the percentage among all cases in which suspect hit officers?

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The percentage among all cases in which suspect hit officers is 80.6%. 10. Use the bar charts function again, examine the variable “incident Type.” Paste your screenshot here. Is this in normal distribution? Why? No, this is not in normal distribution because both traffic stop and armed robbery reign over the others and there is no constant increase in the middle of the range but, mainly it is scattered around.