67, 88, 95, 76, 56, 40, 99, 93, 48, 87, 77, 59, 100, 65, 83, 79, 61, 92, 89, 90, 54, 73, 84, 80, 60, 96, 89, 76, 54, 60, 65, 88, 85, 77, 82, 43, 75, 70, 69, 80, 50, 78, 80, 81, 79, 61, 80, 86, 90, 49, 87, 40, 90, 89, 76, 75 Find mean, median and mode

 numpy as np
from scipy import stats

# Data
data = [
    67, 88, 95, 76, 56, 40, 99, 93, 48, 87, 77, 59, 100, 65, 83, 79, 61, 92, 89, 90,
    54, 73, 84, 80, 60, 96, 89, 76, 54, 60, 65, 88, 85, 77, 82, 43, 75, 70, 69, 80,
    50, 78, 80, 81, 79, 61, 80, 86, 90, 49, 87, 40, 90, 89, 76, 75
]

# Calculations
mean = np.mean(data)
median = np.median(data)
mode = stats.mode(data)

mean, median, mode.mode[0]The statistical measures for the given data are as follows:

- **Mean**: 74.91 (approximately)
- **Median**: 78.5
- **Mode**: 80

Do you want a detailed explanation or further assistance? Here are related questions for deeper exploration:

1. How can the mode be used in analyzing frequency distributions?
2. What is the difference between mean, median, and mode in terms of data representation?
3. How do outliers affect the mean and median differently?
4. What is the significance of the mode when there are multiple modes?
5. How would removing a value from this dataset affect the mean, median, and mode?

**Tip**: Always visualize your data using a histogram or boxplot to better understand the distribution and spot outliers.

Find the mean, median, and mode of the dataset: 67, 88, 95, 76, 56, 40, 99, 93, 48, 87, 77, 59, 100, 65, 83, 79, 61, 92, 89, 90, 54, 73, 84, 80, 60, 96, 89, 76, 54, 60, 65, 88, 85, 77, 82, 43, 75, 70, 69, 80, 50, 78, 80, 81, 79, 61, 80, 86, 90, 49, 87, 40, 90, 89, 76, 75.

Learn how to calculate the mean (74.91), median (78.5), and mode (80) for a dataset containing 56 numbers. This problem explores key statistical concepts and formulas, perfect for students in Grades 6-8. Discover the importance of measures of central tendency in data analysis.

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