What do you understand by the term MODE? Name the function which is used to calculate it.

Question

Accepted Answer

> [!TLDR]
> `mode()` returns the value that occurs most often in a column. Applied to this chapter's own Hindi marks, `df['Hindi'].mode()` returns **24** -- three students scored 24 in Hindi, more than any other single mark.

## What Mode Measures

Mean, median and mode are all "typical value" summaries, but they answer different questions. The mean averages every value; the median finds the middle value once sorted; the **mode** simply counts occurrences and reports whichever value appears most often. It's the only one of the three that makes sense for **categorical** data too (e.g. the most common blood group in a class) -- you can't meaningfully "average" categories, but you can count which one is most frequent.

A dataset can have one mode (unimodal), several tied modes (multimodal), or -- if every value is unique -- no mode at all.

## The Chapter's Own Example

Section 3.2.7 of this chapter runs `mode()` directly on the case-study DataFrame's Hindi column:

```python
print(df['Hindi'])
```
**Output:**
```
0     20
1     22
2     24
3     24
4     25
5     23
6     15
7     17
8     21
9     22
10    24
11    25
Name: Hindi, dtype: int64
```

```python
print(df['Hindi'].mode())
```
**Output:**
```
0    24
dtype: int64
```

Counting the values by hand confirms it: 24 appears **three** times (indices 2, 3, 10), 25 and 22 each appear twice, and every other mark (20, 23, 15, 17, 21) appears once. No other value ties or beats 24's count of three, so `mode()` correctly returns a single-element Series containing 24.

> [!TIP]
> `mode()` always returns a `Series`, never a bare scalar -- even when there is exactly one mode, as here. That's because pandas can't know in advance whether a column is multimodal; if two values were tied for most frequent, `mode()` would return BOTH in the Series. To pull out just the first value, use `df['Hindi'].mode()[0]`.

The chapter leaves a natural follow-up as **Activity 3.3**: "Calculate the mode of marks scored in Maths" -- solved th

Q.What do you understand by the term MODE? Name the function which is used to calculate it.

Concept understanding — Measures Of Dispersion

Measures of Dispersion

The Core Idea

Why It Matters in Commerce and Humanities

What the NCERT Textbook Emphasises

Key Points to Remember

Understanding the Mode

Function to Calculate Mode

What Mode Measures

The Chapter's Own Example

The Function …

Step 1 — List genuine measures of dispersion

Step 2 — Identify the intruder

Step 1 — First blank: based on all observations

Step 2 — Second blank: central 50% of observations

Step 1 — Recall the measures of dispersion

Step 2 — Identify the odd one out

Q.What do you understand by the term MODE? Name the function which is used to calculate it.

What Mode Measures

The Chapter's Own Example

The Function …

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