1. Writing the technical notes section of your report
ANALYSIS
Writing the technical notes section of your report

2. “Technical notes is writing in a language that not everybody understands.”

3. The output.

4. The output

5. The output

6. WHAT do you SEE? S
Statement: I notice that… N
Numbers c
Context

7. WHAT do you SEE? Example: Centre (sample median)
“I notice that the sample median female income is $409 per week compared with the sample median male income of $743 per week. The sample median income for males is $334 per week larger than the sample median income for females.”

8. WHAT does it mean?
Firstly, for the difference between the sample medians.
Secondly, for the difference between the population medians.

9. WHAT does it mean? Example: Centre (sample median)
“The difference in the sample median weekly income, suggests that there could be a difference between weekly income of males and females in New Zealand.”

10. WHAT do you SEE? Example: Centre (sample distribution)
“I notice that the sample distribution of female weekly income appears to be right skewed compared with the sample distribution of male weekly income which appears to be normally distributed.” ”

11. WHAT does it mean? Example: Centre (sample distribution)
“This suggests that in New Zealand, the majority of males earn more per week than females earn per week, which means that there could be a difference between median weekly income of males and females in New Zealand.”

12. WHY should I believe you?
You need evidence from research to back up what you have found.
…Male median income higher than females…
…Males higher up the scale…
…Males earn more than females?

13. WHY should I believe you?

14. WHY should I believe you?
A possible reason for these differences is the continued trend of women (in general) being less valued in society than men. Evidence from The Encyclopedia of New Zealand (2013) details that in 1840 most settlers into New Zealand were male, with only in the 1880s women began to campaign for equal rights, but social change not happening until the 1960s. The effect of this seems to be seen in recent times, as per the sample data.

15. Centre. Done.

16. Repeat process for spread. Interquartile range.
Shift of interquartile range.
Overlap of interquartile range.

17. Repeat process for unusual features. Outliers Clusters.

18. See Example 1 for the rest of the analysis…
Practicing writing these statements and getting feedback is the only way to improve.