Step 1: Start with Small Datasets

Pick datasets with 5–8 numbers. Small sets help you understand calculations clearly.

Example:

4, 6, 8, 10, 12

Practice:

• Sum

• Count

• Mean

• Mode

• Minimum

• Maximum

Worksheets and practice sets commonly use small real-life datasets to strengthen understanding of mean, median, mode, and IQR.

Step 2: Follow a Fixed Practice Routine

For every dataset, follow this order:

1. Sort the data (smallest → largest)

2. Find:

   • Sum

   • Count

   • Mean

   • Mode

   • Minimum

   • Maximum

3. Then detect outliers using:

   • IQR method

   • Z-score (optional)

Sorting first makes it easier to find quartiles and outliers.

Step 3: Daily Practice Sets

Try these datasets.

Practice Set 1

3, 5, 7, 9, 11

Find:

• Sum

• Count

• Mean

• Mode

• Min

• Max

Practice Set 2

4, 6, 6, 8, 10, 12

Find:

• Mean

• Mode

• Min

• Max

Practice Set 3

2, 4, 5, 6, 7, 20

Find:

• Mean

• IQR

• Outlier using IQR method

Practice Set 4

10, 12, 13, 15, 18, 19, 100

Tasks:

• Mean

• Q1

• Q3

• IQR

• Outlier

Step 4: Real-Life Data Practice

Use real numbers from daily life:

Examples:

• Daily steps: 3000, 4200, 5000, 5100, 20000

• Test scores

• Sales numbers

• Temperatures

Real-world datasets are commonly used in statistics practice to build interpretation skills.

Step 5: Use the 5-Minute Daily Method

Every day:

1. Take one dataset.

2. Calculate all basic stats.

3. Check for outliers.

4. Repeat with a new dataset.

After 10–15 days, calculations become automatic.

Step 6: Challenge Practice (Mixed)

Dataset:

5, 7, 8, 9, 9, 10, 12, 50

Find:

• Sum

• Mean

• Mode

• Min

• Max

• IQR

• Outlier

Step 7: Tool-Based Practice (Optional)

Practice in:

• Excel

• Google Sheets

• Python

• Any BI tool (like Elldy)

Enter data and use functions:

• SUM()

• COUNT()

• AVERAGE()

• MIN()

• MAX()