ccording to a survey on part-time workers, the average base salary for women in sales is higher than the average base salary for men. The average base salary for women is $2800/month, and the average base salary for men is $2500/month. Assume monthly salaries are normally distributed with a standard deviation of $300 for both men and women. Further assume salaries are independent across different months. How much would a woman have to make in a year to have a higher salary than 99% of her male counterparts?
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
According to a survey on part-time workers, the average base salary for women in sales is higher than the average base salary for men. The average base salary for women is $2800/month, and the average base salary for men is $2500/month. Assume monthly salaries are
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