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The asking price (in thousands of dollars) of some four-bedroom homes in a certain city are described by the dotplot. Q Asking Prices of Four-Bedroom Homes Complete parts (a) through (e) 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 sampling occurred? A. Sampling bias B. Nonresponse bias C. Response bias D. No bias in sampling occurred. If the asking prices of foreclosed homes had been included, how would the dotplot most likely be different? A. The ratio of the number of dots on the left side to the right side would increase. B. All of the dots in the dotplot would be below the median price. C. The ratio of the number of dots on the left side to the right side would decrease. D. Some of the dots on the left side would be removed.

Problemas

The asking price (in thousands of dollars) of some four-bedroom homes in a certain city are described by the dotplot.
Q
Asking Prices of Four-Bedroom Homes
Complete parts (a) through (e)
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 sampling occurred?
A. Sampling bias
B. Nonresponse bias
C. Response bias
D. No bias in sampling occurred.
If the asking prices of foreclosed homes had been included, how would the dotplot most likely be different?
A. The ratio of the number of dots on the left side to the right side would increase.
B. All of the dots in the dotplot would be below the median price.
C. The ratio of the number of dots on the left side to the right side would decrease.
D. Some of the dots on the left side would be removed.

The asking price (in thousands of dollars) of some four-bedroom homes in a certain city are described by the dotplot. Q Asking Prices of Four-Bedroom Homes Complete parts (a) through (e) 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 sampling occurred? A. Sampling bias B. Nonresponse bias C. Response bias D. No bias in sampling occurred. If the asking prices of foreclosed homes had been included, how would the dotplot most likely be different? A. The ratio of the number of dots on the left side to the right side would increase. B. All of the dots in the dotplot would be below the median price. C. The ratio of the number of dots on the left side to the right side would decrease. D. Some of the dots on the left side would be removed.

Solución

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Oliviamaestro · Tutor durante 5 años
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**d. Why does this make sense?** <br />**Correct Answer: D. This makes sense because houses with large square footages tend to have high asking prices.** <br />Explanation: Larger homes generally have higher asking prices due to their increased size and amenities, which is why the outliers in square footage correspond to outliers in asking price.<br /><br />---<br /><br />**e. What type of bias in sampling occurred?** <br />**Correct Answer: A. Sampling bias** <br />Explanation: Excluding foreclosed homes from the data set introduces sampling bias because it systematically omits a specific subset of homes, potentially skewing the results.<br /><br />**How would the dotplot most likely be different?** <br />**Correct Answer: C. The ratio of the number of dots on the left side to the right side would decrease.** <br />Explanation: Including foreclosed homes, which typically have lower asking prices, would add more dots to the left side of the dotplot, decreasing the ratio of dots on the left side to the right side.
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