📊 Part 1: Software Basics and Data Input

1. Which of the following is the FIRST step when using statistical software to analyse data?

Create visualisations immediately

Input and check your data for errors

Calculate the mean

Print the results

2. Select ALL the types of visualisations that statistical software can create:

Box plots

Histograms

Scatterplots

Bar graphs

Dot plots

3. When inputting data about student heights in centimetres, which data entry would be INCORRECT?

165

172.5

5 feet 8 inches

158

4. Complete this sentence: Statistical software helps us analyse data more efficiently because it can _________________ and _________________ much faster than manual calculations.

📈 Part 2: Interpreting Software Outputs

5. A box plot generated by software shows the median temperature in Auckland as 16°C, with the upper quartile at 20°C. What does this tell us about Auckland's temperature data?

6. You create a histogram of student test scores using software. The histogram shows most scores clustered between 70-85 marks, with a few scores below 50. The outliers below 50 might represent:

Students who performed exceptionally well

Students who may have struggled or been absent

The average performance of the class

Data entry errors only

7. When using the 'Making the call Year 11' guide with software outputs, you should consider:

The context of your data

Sample size and representation

Potential sources of bias

Only the numerical results

8. Describe one advantage of using statistical software compared to calculating statistics by hand:

🎯 Part 3: Communication and Application

9. You've used software to analyse data about favourite sports in your class. Write a clear statement you could share with parents that includes evidence from your analysis:

10. Extension Challenge: Explain how you could use statistical software to test whether there's a relationship between hours of study and test scores. What type of visualisation would be most helpful?

11. Reflection: How did using statistical software help you understand data better than manual calculations? Give a specific example.