A webpage's Design A is to be compared with Design B. The number of clicks on an ad is counted for 15 days for each design. The measured average and standard deviation of the daily number of clicks are given in the table below: Design A Design B Average 11 18 Standard deviation Assume the daily number of dicks is normally and independently distributed. Assume the true variances of the daily number of clicks for both designs are equal. Use a = 0.05. Conduct a hypothesis test to determine if the mean daily number of clicks for Design A, HA, Is smaller than that for Design B, HB- a. Is this a two-sided or one-sided test? Write "wo" or "one". b. How many degrees of freedom are associated with the test statistic? c. What is the pooled estimate of the common variance for both designs? Round to 2 decimal places.
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!
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