Time-Series Data Insights - Day 1

Name:

Date:

📊 Part 1: Understanding Time-Series Data

1. What is time-series data?

Data collected at one point in time

Data collected over several time periods

Data that never changes

Data about time zones

2. Which of these could be time-series data? (Check all that apply)

Daily temperature readings for a week

Mass of a plant measured each day

Your favourite colour

Weekly rainfall amounts

3. Complete the data collection table below. Record the mass of carrots over 5 days:

4. Why is it important to check data for errors?

5. Look at this data set: 45g, 47g, 46g, 450g, 48g. Which reading looks like an error?

The error is: _______ because _________________________________

6. List two ways you can ensure your data collection is accurate:

1. ________________________________________________

2. ________________________________________________

7. Your group collected this data about plant height over 5 days: 12cm, 13cm, 14cm, 15cm, 16cm. What do you notice about this pattern?