what statistical test would be most appropriate to test whether the intervention was effective
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!
An unidentified genetic disease is believed to have reduced the lifespan of members of a certain family until quite recently when the disease was identified and necessary behavioral intervention measures instituted. researchers gathered data on the lifespan [in years] of eleven members of the family before the intervention measures were instituted, and eleven other members of the family after the intervention measures were instituted. what statistical test would be most appropriate to test whether the intervention was effective? Explain your answer.
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