Problemas
The asking price (in thousands of dollars) of some four-bedroom homes in a certain city are described by the dotplot. Asking Prices of Four-Bedroom Homes Q Q Complete parts (a) through (e) .The proportion of homes that the buyer can afford is 0.697 (Round to the nearest thousandth as needed.) b. What proportion of the homes have asking prices between 250 thousand and 350 thousand? The proportion of homes with asking prices between 250 thousand and 350 thousand is 0.152 (Round to the nearest thousandth as needed.) C. If there were two outliers, estimate their values. The values of the outliers are 435 thousand and 445 thousand. d. It turns out that the two homes with asking prices you identified in part (c) also have square footages that are outliers. Why does this make sense? A. This makes sense because houses with large square footages tend to have low asking prices. B. This makes sense because houses with small square footages tend to have low asking prices. C. This makes sense because houses with small square footages tend to have high asking prices. D. This makes sense because houses with large square footages tend to have high asking prices. e. The data set does not include the asking prices of foreclosed homes If the population were all types of four -bedroom homes, what type of bias in sar A. Sampling bias B. Nonresponse bias C. Response bias D. No bias in sampling occurred.
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d. It turns out that the two homes with asking prices you identified in part (c) also have square footages that are outliers. Why does this make sense?D. This makes sense because houses with large square footages tend to have high asking prices.e. The data set does not include the asking prices of foreclosed homes. If the population were all types of four-bedroom homes, what type of bias is present?A. Sampling bias