Finite Mathematics Quiz: Interpreting Graphs And Tables
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Interpreting Graphs And TablesQuestion 1 of 1

A company tracks the relationship between advertising expenditure (in thousands of dollars) and monthly sales revenue (in thousands of dollars) over 12 months. The data shows that when advertising spending increased from $15K to $25K, sales revenue increased from $180K to $220K. However, during the same period, the company also launched a new product line and hired additional sales staff. Based on this information, which statement most accurately describes what can be concluded from this data?

The correlation between advertising and sales proves that increasing advertising by $10K will always result in a $40K increase in sales revenue.
The data demonstrates causation since both advertising expenditure and sales revenue increased during the same time period.
The observed relationship suggests correlation between advertising and sales, but confounding variables prevent establishing direct causation.
Since multiple variables changed simultaneously, no meaningful relationship can be determined between advertising expenditure and sales revenue.
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Finite Mathematics Quiz

Finite Mathematics Quiz: Interpreting Graphs And Tables

Practice Interpreting Graphs And Tables in Finite Mathematics with focused quiz questions that help you check what you know, review explanations, and build confidence with test-style prompts.

What this quiz covers

This quiz focuses on Interpreting Graphs And Tables, giving you a quick way to practice the rules, question types, and explanations that matter most for Finite Mathematics.

How to use this quiz

Try each quiz question before looking at the correct answer. Use the explanations to review missed ideas, then come back to similar questions until the pattern feels familiar.

All questions

Question 1

A company tracks the relationship between advertising expenditure (in thousands of dollars) and monthly sales revenue (in thousands of dollars) over 12 months. The data shows that when advertising spending increased from $15K to $25K, sales revenue increased from $180K to $220K. However, during the same period, the company also launched a new product line and hired additional sales staff. Based on this information, which statement most accurately describes what can be concluded from this data?

  1. The correlation between advertising and sales proves that increasing advertising by $10K will always result in a $40K increase in sales revenue.
  2. The data demonstrates causation since both advertising expenditure and sales revenue increased during the same time period.
  3. The observed relationship suggests correlation between advertising and sales, but confounding variables prevent establishing direct causation. (correct answer)
  4. Since multiple variables changed simultaneously, no meaningful relationship can be determined between advertising expenditure and sales revenue.
Explanation: Choice C correctly identifies that while there's an observable correlation between advertising spending and sales revenue, the presence of confounding variables (new product line and additional sales staff) makes it impossible to establish that advertising alone caused the sales increase. Choice A incorrectly assumes causation and extrapolates a fixed relationship. Choice B confuses correlation with causation. Choice D goes too far in dismissing any relationship—correlation can still be observed even with confounding variables present.