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Central Tendency in Statistics [2023 Update] #dataanalytics #datascience #analytics #statistics

Measure of Central Tendencies: Unveiling Data's Heart 📈

🎯 Let's decode the concept of "Measure of Central Tendencies," a fundamental building block of statistics in data analytics! 📊

🔍 Definition: Central tendencies are values that represent the center or middle of a dataset, helping us understand its typical or central value. There are three main measures:

1️⃣ Mean (Average): The sum of all values divided by the number of values. It's your everyday "average." For instance, if you have test scores: 80, 85, 90, 92, and 88, the mean score is (80+85+90+92+88)/5 = 87.

2️⃣ Median: The middle value in a dataset when it's sorted in ascending order. If you have the same test scores, the median is 90, as it's the middle value.

3️⃣ Mode: The value that appears most frequently in a dataset. In the test scores example, if 90 appears twice while other scores are unique, then the mode is 90.

These measures provide insight into where the "center" of your data lies, whether it's the typical score, income, or any other numerical variable. 🎯

Understanding central tendencies is like finding the heartbeat of your data, revealing its core characteristics. 💓

Where central tendencies are used?
Determine central location using mean for data.
Find typical values with median in datasets.
Spot frequent occurrences using mode in categories.
Analyze qualitative data by identifying central themes.
Combine mean and mode for comprehensive insights.

Got questions or want more examples? Share them below! 👇
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