Pizza franchise conducted a survey to determine the number of pizzas that a person ate last month and two cities the results are displayed in the dot plots compare the spreads of city a and city B what conclusions can you draw about the spread?
To compare the spreads of City A and City B, we need to look at the distribution of the data in each dot plot. A wider spread indicates that the data is more dispersed, while a narrower spread indicates that the data is more concentrated.
If the dot plot for City A shows a wider spread with dots spread out over a larger range of values, while the dot plot for City B shows a narrower spread with dots clustered closely together, then we can conclude that the data in City A is more varied and spread out compared to the data in City B.
On the other hand, if both dot plots show similar spreads or if the spread in City B is wider than the spread in City A, then we can draw different conclusions. For example, if City B has a wider spread, it may indicate more variability in pizza consumption among individuals in that city.
In summary, by comparing the spreads of the dot plots for City A and City B, we can draw conclusions about the variability and dispersion of pizza consumption data in each city.