Data Analysis and Interpretation Flashcards
7 cards from real SSPO practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Data Analysis and Interpretation flashcards as text
A report states the correlation coefficient between poverty rate and property crime is r = 0.82. How should an officer interpret this?
Answer: There is a strong positive association between poverty rate and property crime
r = 0.82 indicates a strong positive correlation — the two variables tend to increase together — but does not confirm causation.
A supervisor receives a report that clearance rates dropped from 65% to 52%. By how many percentage points did the clearance rate drop?
Answer: 13
65% − 52% = 13 percentage points decrease.
Weekly theft counts over five weeks are: 14, 18, 22, 26, 30. What type of trend does this represent?
Answer: Linear increase
Each week increases by exactly 4, producing a consistent linear (arithmetic) increase.
An officer is given a dataset with an outlier value of 150 in a set where all other values range from 5 to 20. Which measure of central tendency is LEAST affected by this outlier?
Answer: Median
The median is based on rank position rather than magnitude, so extreme outliers have minimal effect on it.
A two-year crime comparison shows: Year 1 = 480 incidents, Year 2 = 516 incidents. What is the approximate percentage increase?
Answer: 7.5%
(516 − 480) / 480 × 100 = 36/480 × 100 = 7.5% increase.
A report shows that 3 out of every 10 domestic disturbance calls result in an arrest. In a city with 350 such calls per month, how many arrests are expected?
Answer: 105
3/10 × 350 = 105 expected arrests per month.
A Venn diagram shows 60 criminals with prior drug offenses, 80 with prior theft offenses, and 20 in the overlap. How many criminals have ONLY theft offenses?
Answer: 60
Those with only theft offenses = 80 total theft − 20 overlap = 60.