find median,mode,q1,q3 of following data 2,3,1,22,13,17,12,32,23,19,25,24,11,23,23,26,40,50,28,18,6,11,12

import numpy as np
import pandas as pd

# Data
data = [2, 3, 1, 22, 13, 17, 12, 32, 23, 19, 25, 24, 11, 23, 23, 26, 40, 50, 28, 18, 6, 11, 12]

# Sorting the data
sorted_data = sorted(data)

# Calculating median
median = np.median(data)

# Calculating mode
mode = pd.Series(data).mode().tolist()

# Calculating Q1 and Q3
q1 = np.percentile(data, 25)
q3 = np.percentile(data, 75)

median, mode, q1, q3(19.0, [23], 11.5, 24.5)(19.0, [23], 11.5, 24.5)successFor the given data, the calculated values are:

- **Median**: 19.0
- **Mode**: 23 (most frequently occurring number)
- **Q1 (First Quartile)**: 11.5
- **Q3 (Third Quartile)**: 24.5

Would you like a detailed explanation of these calculations or have any additional questions?

Here are 5 related questions for further exploration:
1. How are quartiles different from percentiles?
2. Can you calculate the interquartile range (IQR) using Q1 and Q3?
3. How would you handle finding the mode if there were no repeated values?
4. What is the significance of these statistics in real-world data analysis?
5. How would outliers affect the median and mode?

**Tip**: For skewed datasets, the median is often a better measure of central tendency than the mean.

Find the median, mode, Q1, and Q3 of the following data: 2, 3, 1, 22, 13, 17, 12, 32, 23, 19, 25, 24, 11, 23, 23, 26, 40, 50, 28, 18, 6, 11, 12.

Discover how to calculate the median, mode, Q1, and Q3 for the dataset: 2, 3, 1, 22, 13, 17, 12, 32, 23, 19, 25, 24, 11, 23, 23, 26, 40, 50, 28, 18, 6, 11, 12. Learn key descriptive statistics methods, suitable for Grades 9-12, with detailed explanations and examples.

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