Notebook

Oct 15, 2024, 5:11 PM

MCOB Final Data.sav

Missing file

A meaningful output that will help the client to make data-driven decisions. Specifically:

Differential analysis and a data-driven recommendation.
Associative analysis and a data-driven recommendation.
The dataset has been successfully loaded. It contains a large number of columns, each representing different survey questions and metadata. Let's proceed with the analyses you requested:

Differential Analysis

Differential analysis involves comparing different groups within the dataset to identify significant differences. For this dataset, we can perform a differential analysis on the Progress variable across different Q3 (year groups).

Associative Analysis

Associative analysis involves finding relationships between different variables in the dataset. We can explore associations between Progress and Duration__in_seconds_ to see if longer durations correlate with higher progress.
Let's start with the differential analysis first.
The boxplot above illustrates the differential analysis of Progress across different Year Groups (Q3). This visualization helps identify any significant differences in progress among the different year groups.

Observations:

  • The median progress seems to vary across different year groups.
  • There might be outliers in some groups, indicating variability in responses.

Recommendation:

  • If certain year groups consistently show lower progress, targeted interventions or support could be beneficial.
Let's proceed with the associative analysis to explore the relationship between Progress and Duration__in_seconds_. This will help us understand if longer durations are associated with higher progress.
The scatter plot above illustrates the associative analysis between Progress and Duration (in seconds). This visualization helps identify any potential correlation between the time spent and the progress made.

Observations:

  • There appears to be a positive correlation between duration and progress, suggesting that longer durations might be associated with higher progress.
  • However, there are also instances of high progress with shorter durations, indicating variability.

Recommendation:

  • Encourage participants to spend more time on the survey to potentially improve their progress.
  • Further analysis could be conducted to understand the factors contributing to high progress in shorter durations.
If you have any more questions or need further analysis, feel free to ask!
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