# data[].attributes.body
The z-score for the 10th patient in the sample (with a wait time of 37 minutes) at offices without a wait-tracking system is approximately 0.476. This means the wait time for this patient is about 0.476 standard deviations above the mean wait time for the sample.

# data[].attributes.headline
b) z-score for the 6th patient. Compare your answer with part (a)

# data[].attributes.subject
b) z-score for the 6th patient. Compare your answer with part (a)

# data[].attributes.body
The z-score for the 6th patient in the sample at offices with a wait-tracking system, who has a wait time of 37 minutes, is approximately 2.133.

Comparing this to part (a), where the z-score for the 10th patient without a wait-tracking system was approximately 0.476, we can see that the 37-minute wait time is more unusual (further from the mean) in the context of the wait-tracking system than in the context of no wait-tracking system.

# data[].attributes.body
There are no outliers for the z-scores in either the "Without Wait-Tracking System" or "With Wait-Tracking System" columns.

Generally, outliers in z-scores are considered to be values greater than 3 or less than -3. In the table you provided, all z-scores are within this range. The highest z-score is 2.133 for the 6th patient with the tracking system, and the lowest z-score is -1.030 for the 12th patient without the tracking system.

However, it's important to consider the context and sample size when interpreting z-scores. The table only shows data for 10 patients, which is a relatively small sample. With a larger sample, there might be outliers that wouldn't be apparent in this data.

# data[].attributes.body
The 6th patient's wait time (31 minutes) was higher than the mean wait time (29.1 minutes) for patients without the tracking system. Their z-score of 0.97 indicates that their wait time was almost 1 standard deviation above the mean.

The 10th patient's wait time (16 minutes) was lower than the mean wait time for patients without the tracking system. Their z-score of -0.789 indicates that their wait time was almost 1 standard deviation below the mean.

In comparison:

The 6th patient had a significantly longer wait time than the 10th patient.

The 6th patient waited for almost 15 minutes more than the average, while the 10th patient waited for almost 13 minutes less than the average.

# data[].attributes.body
A negative z-score means that the patient's wait time (16 minutes) was lower than the average wait time (29.1 minutes) for patients without the tracking system. In this case, the patient's wait time was 0.789 standard deviations below the mean.

# data[].attributes.body
Based on the z-scores calculated for both samples:

For offices without a wait-tracking system, the z-scores range from approximately -1.03 to +2.28, and there are no z-scores beyond the typical outlier threshold of +3 or -3 standard deviations.

For offices with a wait-tracking system, the z-scores range from approximately -0.88 to +2.13, and similarly, there are no z-scores beyond the typical outlier threshold of +3 or -3 standard deviations.

Therefore, based on the z-scores, neither data set contains any outliers.