Answer:
Explanation:
Question 1:
The best measure of center for the given data is the median, which is equal to 7. This is because the data is skewed and has some outliers, which could heavily impact the mean. The median is the middle value when the data is arranged in order, and it is less sensitive to outliers compared to the mean.
Answer: The median is the best measure of center, and it equals 7.
Question 2:
The appropriate measure of center for the given data is the median of 49. This is because the data is skewed, with a long tail towards the higher end, and there are some outliers present. The median is less sensitive to outliers and better represents the center of skewed data compared to the mean.
Answer: The median of 49 is the most accurate measure of center to use.
Question 3:
The appropriate measure of variability for the given data is the interquartile range (IQR), which is equal to 6. The IQR is a good measure of variability for skewed data because it is not affected by extreme values or outliers, and it gives a sense of the spread of the middle 50% of the data.
Answer: The IQR is the best measure of variability, and it equals 6.
Question 4:
The appropriate measure of variability for the given data is the range, which is equal to 29 (49 - 20). The range is a good measure of variability for small datasets and provides an idea of the spread of the data.
Answer: The range is the best measure of variability, and it equals 29.
Question 5:
The best measure of variability for the given data is the interquartile range (IQR), which is 1.5 for Player A and 3.5 for Player B. A smaller IQR suggests more consistent data as the middle 50% of the data is less spread out, and there are fewer outliers.
Answer: Player A is the most consistent with an IQR of 1.5.
Question 6:
The appropriate measure of center for the given data is the median because there are outliers present. The median is less sensitive to outliers and provides a better representation of the central tendency of the data.
Answer: The median is the best measure of center because there are outliers present.
Question 7:
The appropriate measure of center for the given data is the median, which is equal to 11. The data is skewed, and there are outliers present, which could heavily impact the mean. The median is less sensitive to outliers compared to the mean and provides a better representation of the central tendency of the data.
Answer: The median is the best measure of center, and it equals 11.