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The table contains temperatures in °F of effluent discharge on consecutive days. To calculate the descriptive statistics, let's go through each part:

### Data Points (Row 2):
\[ 28, 30, 49, 40, 62, 30, 61, 38, 29, 41, 61, 50, 62, 29, 41, 50, 48, 52, 39, 49, 49, 49, 61, 60 \]

There are 24 values in total.

#### (a) Median:
To find the median, the values must be arranged in ascending order:
\[ 28, 29, 29, 30, 30, 38, 39, 40, 41, 41, 48, 49, 49, 49, 49, 50, 50, 52, 60, 61, 61, 61, 62, 62 \]

Since there are 24 values, the median will be the average of the 12th and 13th values:
\[ \text{Median} = \frac{49 + 49}{2} = 49.0 \]

#### (b) First Quartile (Q1):
The first quartile is the median of the lower half of the data (the first 12 values):
\[ 28, 29, 29, 30, 30, 38, 39, 40, 41, 41, 48, 49 \]
The median of this set is the average of the 6th and 7th values:
\[ Q1 = \frac{38 + 39}{2} = 38.5 \]

#### (c) Third Quartile (Q3):
The third quartile is the median of the upper half of the data (the last 12 values):
\[ 49, 49, 49, 49, 50, 50, 52, 60, 61, 61, 62, 62 \]
The median of this set is the average of the 6th and 7th values:
\[ Q3 = \frac{50 + 52}{2} = 51.0 \]

### Final Answers:
- (a) Median = **49.0**
- (b) First quartile = **38.5**
- (c) Third quartile = **51.0**

Let me know if you need more details or have any questions.

### 5 Relative Questions:
1. How is the interquartile range (IQR) calculated using quartiles?
2. What is the effect of outliers on the median and quartiles?
3. How would the results change if a new data point was added?
4. What other descriptive statistics could be calculated from this data set?
5. How do quartiles differ from percentiles in statistics?

### Tip:
When calculating the median for an even number of data points, always take the average of the two middle numbers to ensure accuracy.

Use the temperatures of effluent discharge on consecutive days to calculate the median, first quartile, and third quartile.

Learn how to calculate the median, first quartile, and third quartile of a data set of temperatures from consecutive days. This problem demonstrates key descriptive statistical concepts, including finding quartiles and median for a set of 24 temperature data points. Suitable for high school students.

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