Final answer:
The interquartile range for the cholesterol level of 30 adults cannot be calculated without specific data. It is the measure between the first and third quartiles but individual cholesterol levels are necessary to determine these quartiles.
Step-by-step explanation:
The question pertains to the calculation of the interquartile range (IQR) for the cholesterol level of 30 adults. The interquartile range is a measure of statistical dispersion and is the difference between the first quartile (Q1) and the third quartile (Q3) in a dataset. To find the IQR, you need the data organized in ascending order and then locate the median to divide the dataset into two halves. The medians of these halves are the first and third quartiles respectively. However, the provided information does not include specific cholesterol levels for the 30 adults; therefore, we cannot calculate the exact IQR without the individual cholesterol level data. To answer the student's question, the adult cholesterol level data would be required to determine the quartiles and interquartile range.
The interquartile range (IQR) is a measure of variability that represents the range between the first quartile (Q1) and the third quartile (Q3). To calculate the IQR for the cholesterol level of 30 adults, you need the cholesterol values for each individual. Let's assume we have a set of cholesterol levels for these 30 adults. First, you will need to arrange the cholesterol levels from smallest to largest. Then, find the median of the data set. The median divides the data set into two halves. The first quartile (Q1) is the median of the lower half, and the third quartile (Q3) is the median of the upper half. Finally, calculate the IQR by subtracting Q1 from Q3.