For a sample of 36 houses, what would you expect the distribution of the sale pr

Question

For a sample of 36 houses, what would you expect the distribution of the sale prices to be? A real-estale agent has been assigned 10 houses at random to sell this month She warts to kn What, id anything, does she need to assume about the distribution of prices to be able to use the Centrail Limit Theorem? Are those assumptions reasonable? O A. Prices cannot be less than 0, but there is nothing to prevent some from being expensive, so they are lely to be skewed to the right O B. Prices tend to increase over time, so the distribution will be skewed to the right O C. Prioes follow a Poisson because price is discrete. OD. Prices tend to be about the same in any given area, so the What assumptions, any, need to be made to be able to use the Central Limit Theorem? Selact all ht distribution is probably uniorm A The prices must be assumed to be independent B. The prices must be assumed to be randomly selected D C. The DD. No assumptions are needed of prices must be assumed to be not too skewed and without outliers Are the assumptions reasonable? Select all that apply DA tis not reasonable to assume the houses are randomly selected B. Ris not reasonable to assume the prices are C. t is not reasonable to assume that there are no outiers D. No assumptions are needed

Explanation / Answer

Dustribution of price should be skewed to right because there are some houses are the expensive than other houses.

Correct option is A.

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Sample size is 36. That is sample size is greater than 30 so to apply central limit theorem so assumption needed.

Correct option is D.

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Correct option is D.

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