. Sales Decay At the end of an advertising campaign,the sales (in dollars) declined, with weekly salesgiven by the equation y = 40,000(3-0.1x ), where xis the number of weeks after the end of the campaign.In how many weeks will sales be less than half of thesales at the end of the ad campaign?
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!
. Sales Decay At the end of an advertising campaign,
the sales (in dollars) declined, with weekly sales
given by the equation y = 40,000(3-0.1x ), where x
is the number of weeks after the end of the campaign.
In how many weeks will sales be less than half of the
sales at the end of the ad campaign?
Step by step
Solved in 3 steps