Wage Distribution of Workers in a Factory

The wage distribution of workers in a factory follows a normal distribution.

Explanation:

Normal distribution is a continuous probability distribution that is widely used in statistics. It is also known as the Gaussian distribution or the bell curve. Normal distribution is characterized by a bell-shaped curve, where the mean, median, and mode are all equal.

The wage distribution of workers in a factory is likely to follow a normal distribution because:

1. Central Limit Theorem: The wage of workers in a factory is likely to be influenced by several factors such as education, experience, skills, etc. These factors are likely to be normally distributed in the population. According to the central limit theorem, the mean of a large sample from a population with any distribution will be approximately normally distributed.

2. Large Sample Size: The wage distribution of workers in a factory is likely to be based on a large sample size. According to the central limit theorem, the mean of a large sample from a population with any distribution will be approximately normally distributed.

3. Symmetry: The wage distribution of workers in a factory is likely to be symmetric around the mean. This is because there are likely to be as many workers with wages above the mean as there are with wages below the mean.

Conclusion:

In conclusion, the wage distribution of workers in a factory follows a normal distribution because of the central limit theorem, large sample size, and symmetry.

Their lies division of numbers to b solved...
for 0-20 /binomial
20-200/poisson
200-infinity/normal
and wages are always more than rs 1000