In a study of 2000 population, mean value of hemoglobin is 13.5 gm, which follows normal distribution curve. Percentage of people having higher hemoglobin than 13.5 gm:
**Core Concept**
The normal distribution curve is a probability distribution where the majority of data points cluster around the mean, and the probability of data points decreases as you move away from the mean. In this context, the normal distribution curve is used to model the hemoglobin levels in the population.
**Why the Correct Answer is Right**
Since the mean value of hemoglobin is 13.5 gm, and the distribution is normal, we can use the properties of the normal distribution curve to determine the percentage of people with higher hemoglobin levels. In a normal distribution, about 50% of the data points lie above the mean, and about 50% lie below the mean. Therefore, about 50% of the population will have a hemoglobin level higher than 13.5 gm.
**Why Each Wrong Option is Incorrect**
**Option A:** This option is not provided in the question. However, if it were a value, it would be incorrect if it were significantly different from 50%.
**Option B:** This option is not provided in the question. However, if it were a value, it would be incorrect if it were significantly different from 50%.
**Option D:** This option is not provided in the question. However, if it were a value, it would be incorrect if it were significantly different from 50%.
**Clinical Pearl / High-Yield Fact**
The 68-95-99.7 rule states that in a normal distribution, about 68% of the data points lie within 1 standard deviation of the mean, about 95% lie within 2 standard deviations, and about 99.7% lie within 3 standard deviations. This rule can be useful in understanding the spread of data in a normal distribution.
**Correct Answer:** C. 50%.