To find the third quartile's value, we need to arrange the dataset in ascending order: 18, 20, 22, 22, 24, 25, 29, 30, 31.
Since we have 9 data points, the third quartile corresponds to the data point at position (9 + 1) * 3/4 = 7.5, which is between the 7th and 8th data points.
The 7th data point is 29 and the 8th data point is 30. To find the average of these two values, we add them together and divide by 2: (29 + 30) / 2 = 59 / 2 = 29.5.
Therefore, the third quartile's value is 29.5.
Consider the following dataset: 22, 29, 31, 30, 22, 24, 18, 20, 25. What is the third quartile’s value? Round to the nearest tenth if necessary.(1 point)
3 answers
Given the following dataset, what are the extremes?
58, 32, 8, 25, 13, 12, 3, 11, 22, 10(1 point)
The smallest extreme value is
.
The largest extreme value is
.
58, 32, 8, 25, 13, 12, 3, 11, 22, 10(1 point)
The smallest extreme value is
.
The largest extreme value is
.
To find the extremes in the dataset, we need to identify the smallest and largest values.
The smallest value in the dataset is 3 (as it is the lowest value).
The largest value in the dataset is 58 (as it is the highest value).
Therefore, the smallest extreme value is 3 and the largest extreme value is 58.
The smallest value in the dataset is 3 (as it is the lowest value).
The largest value in the dataset is 58 (as it is the highest value).
Therefore, the smallest extreme value is 3 and the largest extreme value is 58.