Mean < Median < Mode is seen in which type of curve –
So, the question states that Mean < Median < Mode. I remember that in skewed distributions, the order of these measures changes. Let me think: in a normal distribution, all three are equal. But when the distribution is skewed, they differ. Right, in a left-skewed (negatively skewed) distribution, the tail is on the left. The mean is pulled towards the tail, so it's less than the median. The mode is the highest point, which is on the right. So in left skew, Mean < Median Median > Mode. Normal distribution has all three equal. Bimodal would have two modes, but the question is about the order of mean, median, mode. So those are incorrect.
The clinical pearl here is remembering that skewness affects the order. Left skew is mean < median < mode. A mnemonic could be "Lefty Less" (left skew, mean less than median). Also, in exams, students might confuse the direction of skew. It's important to visualize the tail: where the tail is, the mean is pulled towards it. So left tail means mean is lower.
**Core Concept**
The relationship between mean, median, and mode in skewed distributions reflects the direction of skewness. **Left (negative) skew** occurs when the tail extends toward lower values, pulling the mean below the median and mode.
**Why the Correct Answer is Right**
In a **left-skewed distribution**, the **mean < median median > mode** due to a tail on the right.
**Option B:** *Normal distribution* has **mean = median = mode** (symmetrical bell curve).
**Option D:** *Bimodal* curves have two peaks but do not inherently define a specific mean-median-mode relationship.
**Clinical Pearl / High-Yield Fact**
Remember: **"Lefty Less"** (left skew → mean < median < mode). Avoid confusing skew direction with tail direction—mean is always pulled toward the tail. Exams often test this reversal.
**Correct Answer: C. Left-skewed (negatively skewed) curve**