atients with hypertension (a.k.a. high blood pressure). In a randomized, double-blind experiment rith 200 patients, 100 are given the name-brand drug (control group) and 100 are given a generic ersion of the drug (treatment group). In the control group, the average reduction in blood pressure 5 15.2 mmHG with a standard deviation of 11.5 mmHG. In the treatment group, there is an average reduction of 14.6 mmHG and a standard deviation of 12.5 mmHG. Neither group has any outliers. A researcher claims that this study shows the generic drug is not as effective as the name-brand drug. What would be the reply of a statistician? You have two attempts for this problem so choose wisely. If you do not receive 5 points in the Gradebook after submitting this assignment then you have answered incorrectly. Make sure to try it again before the deadline. O Because the difference in sample means is under 1 mmHG, we can safely conclude the drugs are equally effective. O The point estimate for the generic drug is lower than that of the name-brand drug, which means the generic drug is less effective. The researcher is correct. O While there is some uncertainty in the point estimates, the sample sizes for each group are large, indicating that the difference must be real. O The standard deviations are quite large within each group relative to the size of the difference in point estimates. It is unclear if there is a real difference in the effectiveness of the two drugs or if the difference is just due to chance. Question Help: Message instructor DPost to forum > Next Question
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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