Question

how much variability should mrs. perez expect in the data? no variability some variability a lot of variability

Explanation:

Step1: Analyze the nature of data

In real - world data (assuming this is about real - world data collection, for example, if it's about student test scores, people's heights etc.), it's very rare for all data points to be exactly the same.

Step2: Consider the options

• “No variability” would mean all data values are identical. This is highly unlikely in most practical data - collection scenarios.
• “Some variability” is a more reasonable expectation. For example, if measuring the time it takes students to complete a task, there will be differences among students but not an extremely wide range in a relatively homogeneous group (e.g., same - age students in the same class).
• “A lot of variability” would imply a very wide spread. Unless the data is from a very heterogeneous group (e.g., combining data from adults and infants for a physical trait), this is also not the most common case for a single, relatively homogeneous data - collection context.

Answer:

Some variability