3. Mariana would like to purchase a home and is interested in finding out the average interest rate for a 30-year fixed mortgage. Bankrate.com states that the population standard deviation for a 30- year fixed mortgage interest rate is .13%. Mariana does some research and collects a simple random sample of 24 interest rates for a 30-year fixed mortgage and finds that the average interest rate is 2.99%. Assume that the data is normally distributed. a) Construct a 95% confidence interval for the average interest rate for a 30-year fixed mortgage. Explain the meaning in the context of the problem. b) If normality were not given, would you have been able to do part a? Explain your reasoning. c) If Mariana took a simple random sample of 37 homes, (with all other values being the same) would you expect the confidence interval to get wider or narrower? Explain your reasoning.
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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