Making Inferences About Range

This lesson teaches how to make inferences about data range by comparing populations on different graphs. It covers methods to determine range, using examples like basketball scores and school event attendance. The lesson emphasizes the importance of comparing the same population and understanding the implications of range on data consistency and mean reliability. It concludes with a cost analysis of meals using line plots.

What can be inferred about Matt's performance compared to Brock's in the basketball games?

• Matt is less consistent than Brock.

• Brock has a lower range of scores.

• Matt is more consistent due to a lower range.

• Matt has a wider range of scores.

What is the range of attendance for the welcome picnic?

• 16

• 24

• 7

• 38

Why is it important to compare the same population when finding the range?

• To avoid calculating the difference between unrelated data sets.

• To ensure the data is symmetric.

• To increase the range value.

• To make the mean less reliable.

What can be inferred about people's spending on breakfast compared to dinner?

• People spend more on breakfast than dinner.

• People spend the same amount on both meals.

• People spend approximately $11 more on dinner than breakfast.

• People spend less on dinner than breakfast.

What is the shared range for the cost of breakfast and dinner?

• Between $3 and $10

• Between $15 and $22

• The same range for both meals

• A range of $11