Tables, Graphs & Patterns in Data — Drills · Grade 6 Science

Chapter: Inquiry, Measurement & Models

What these drills covers

By the end of Tables, Graphs & Patterns in Data you should be able to:

4 questions, multiple choice and written answer, each with a worked explanation.

Vocabulary used: mean, pattern, evidence, system boundary, uncertainty.

Problem 1

Recall the first key distinction: which statement is accurate?
  1. A sample with missing measurements has proved those values are zero.
  2. A missing value is automatically a measured zero.
  3. A graph’s association automatically establishes a cause.
  4. mean: The sum of comparable values divided by their count.
Answer and explanation

mean: The sum of comparable values divided by their count.

The sum of comparable values divided by their count.

Problem 2

Recall the second key distinction: which statement is accurate?
  1. pattern: A relationship observed in records that may guide a test or explanation.
  2. A graph’s association automatically establishes a cause.
  3. A missing value is automatically a measured zero.
  4. Repeating any method makes every causal claim true.
Answer and explanation

pattern: A relationship observed in records that may guide a test or explanation.

A relationship observed in records that may guide a test or explanation.

Problem 3

Without opening guidance: Does a mean of 7 mean every trial held 7?
Answer and explanation

No. It summarizes three values; the individual loads differ and should remain available.

Compare the scientific meaning and reasoning after an independent attempt. A different accurate supported response can be correct; human review is required.

Problem 4

Without opening guidance: Can a graph fix a confounded comparison?
Answer and explanation

No. Clear display improves interpretation but cannot remove a problem in how the evidence was collected.

Compare the scientific meaning and reasoning after an independent attempt. A different accurate supported response can be correct; human review is required.

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