Question

the plot shows the temperatures (in f) for a group of children who visited a doctors office. temperature of children at a doctors office what conclusions can be drawn from the data set? check all that apply. the measures of center are the same. the interquartile range is 4. there is little variability in the data. the average temperature is 98. the data is clustered around the mean.

Explanation:

Step1: Analyze data - clustering

Count the number of data - points around each value. Most of the data - points are around 98, so the data is clustered around the mean.

Step2: Calculate average

To find the average (mean), sum all the data - points and divide by the number of data - points. But just by looking at the plot, we can see that 98 has the most data - points, so it is a good estimate for the average.

Step3: Check variability

The data seems to be mostly in the range of 96 - 100, so there is not a large spread, indicating little variability.

Step4: Calculate IQR

To find the inter - quartile range (IQR), we need to find the first quartile (Q1), the third quartile (Q3), and then Q3 - Q1. But from the plot, we can't accurately determine Q1 and Q3 to say the IQR is 4. Also, we can't say the measures of center are the same without calculating mean, median, and mode.

Answer:

The data is clustered around the mean.
The average temperature is 98.
There is little variability in the data.