2. There are 5 existing subspecies of cheetah³ (we'll use these descriptors: A, NA, SA, S, T), but it is challenging to tell them apart genetically because they only retain 0.1-4% of the overall genetic variation seen in most living species. The wrist fusing seen in Masika, is an uncommon defective trait in cheetahs and each subspecies have differing rates in which this trait occurs. Subspecies A have a 3 percent rate of having this trait, Subspecies NA has a 5 percent rate, Subspecies SA has a 10 percent rate, Subspecies S has a 1 percent rate, and Subspecies T has a 15 percent rate. Since subspecies S are the least likely to have this trait, the Species Survival Plan wants to make sure they preserve genetic material from this species in the "Frozen Zoo" at the San Diego Zoo. Recently, the operators at the Frozen Zoo found a very large batch of samples of cheetah genetic material that was unlabeled. To determine which subspecies it came from, the company selected from the batch a random sample of 80 DNA samples and found 10 of them carried the genetic markers for fused wrists. (a) Construct and interpret a 90% confidence interval for the proportion of DNA samples with the genetic marker for fused wrists. (b) Does the interval calculated in part (a) allow the Frozen Zoo operators to clearly determine the subspecies of cheetah that the DNA came from? Explain.
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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