To assess the two sets of dot plots for City A and City B, we can analyze the data values:
- City A Daily High Temperatures: The values range from 68 to 74 degrees Fahrenheit.
- City B Daily High Temperatures: The values range from 79 to 85 degrees Fahrenheit.
Now, evaluating the provided options:
-
Data values in both distributions have similar spread: This is not true because the ranges of the two cities are different (68-74 for City A vs. 79-85 for City B). Therefore, the spread is not similar.
-
Based on visual overlap of the distribution, all data values overlap: This is also false because there is no overlap between the temperature ranges of City A and City B.
-
These distributions have significantly different variability: This statement is true. The ranges and values in each city are significantly different, indicating different levels of variability.
-
Both distributions have outliers: There are no apparent outliers in either of the distributions based on the given data—it appears to be a concentrated range for both cities.
Given the analyses, the correct response is:
These distributions have significantly different variability.