STATISTICS CLASS TASK: DESCRIPTIVE ANALYSIS OF ECONOMIC
DATA
Objective:
This task will help you understand and apply descriptive statistical tools to analyze economic
data. You will use graphical representation and numerical summaries to interpret economic
activities.
TASK INSTRUCTIONS
1. Data Analysis Task
You are provided with hypothetical data on regional economic indicators in South Sulawesi
from 2015 to 2024. The dataset includes:
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GDP Growth Rate (%)
Inflation Rate (%)
Unemployment Rate (%)
Household Consumption Growth (%)
Using this data, complete the following:
2. Required Calculations
a) Compute the mean, median, and standard deviation for each economic indicator over
the 10-year period.
b) Identify the year with the highest and lowest values for each indicator.
c) Compare economic trends before and after COVID-19 (2019–2024) to analyze the impact
of the pandemic on South Sulawesi’s economy.
3. Data Visualization
a) Create at least two graphs (line chart, bar chart, or histogram) to visually represent
economic trends over time.
b) Use appropriate titles, labels, and legends to make your graphs easy to understand.
c) Ensure the graphs help explain the patterns and trends in economic data.
4. Interpretation & Report Writing
Prepare a 2-3 page report discussing:
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Key insights from your statistical calculations.
What the graphs reveal about economic fluctuations in South Sulawesi.
Possible economic events that might have influenced trends (e.g., policy changes,
COVID-19 impact, external shocks).
A comparison between pre-pandemic (2015–2019) and post-pandemic (2020–2024)
periods.