Practice Data Handling & Analysis: Making Sense Of Information (5) - Unit 5: Data Handling & Analysis: Making Sense of Information
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Data Handling & Analysis: Making Sense of Information

Practice - Data Handling & Analysis: Making Sense of Information

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What type of data describes characteristics that cannot be measured numerically?

💡 Hint: Think about categories like colors or flavors.

Question 2 Easy

If the heights are recorded as 1.2m, 1.5m, and 1.3m, what type of data is this?

💡 Hint: Is this data about qualities or is it numeric?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What type of data is height considered?

Qualitative
Quantitative
Categorical

💡 Hint: Think of whether you can measure it with numbers.

Question 2

True or False: The mode is the average of a dataset.

True
False

💡 Hint: Recall the definitions of mean and mode.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You have a dataset that shows the number of pets: 1, 2, 3, 3, 2, 4, 1, 0, 2, 3. Calculate the mean, median, and mode. Explain what these measures indicate about the dataset.

💡 Hint: Use the definitions for mean, median, and mode to structure your answer.

Challenge 2 Hard

Analyze a dataset of students’ test scores: 55, 60, 75, 75, 80, 85, 90, 95. Calculate the range and IQR. Discuss what these measures say about the scores.

💡 Hint: Find Q1 and Q3 by ordering the data.

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