A report announced that the median sales price of new houses sold one year was $231,000, and the mean sales price was $271,000. Assume that the standard deviation of the prices is $100,000. Complete parts (a) through (d) below. (a) If you select samples of n=2, describe the shape of the sampling distribution of X. Choose the correct answer below. A. The sampling distribution will be approximately normal. B. The sampling distribution will depend on the specific sample and will not have a constant shape. C. The sampling distribution is skewed to the right, but less skewed to the right than the population. D. The sampling distribution will be approximately uniform. (b) If you select samples of n=100, describe the shape of the sampling distribution of X. Choose the correct answer below. A. The sampling distribution will depend on the specific sample and will not have a constant shape. B. The sampling distribution will be approximately uniform. C. The sampling distribution will be approximately normal. D. The sampling distribution is skewed to the right, but lessed skew to the right than the population. (c) If you select a random sample of n=100, what is the probability that the sample mean will be less than $290,000? The probability that the sample mean will be less than $290,000 is (Round to four decimal places as needed.) (d) If you select a random sample of n=100, what is the probability that the sample mean will be between $275,000 and $295,000? The probability that the sample mean will be be between $275,000 and $295,000 is (Round to four decimal places as needed.)
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!
(a)
|
If you select samples of
n=2,
describe the shape of the sampling distribution of
X.
|
(b)
|
If you select samples of
n=100,
describe the shape of the sampling distribution of
X.
|
(c)
|
If you select a random sample of
n=100,
what is the $290,000?
|
(d)
|
If you select a random sample of
n=100,
what is the probability that the sample mean will be between
$275,000
and
$295,000?
|
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