HI THERE, COULD SOME ONE PLEASE HLEP ME ON THIS QUESTION...

A sample of the near-ground air concentration of caesium-137 at
11 locations in southern Germany a few days after the Chernobyl nuclear
accident in 1986 consisted of the following measurements (in Bq/m3).

5.77
3.30
7.98
8.29
4.85
2.90
1.74
0.05
0.23
0.60
4.98

1)Choose the option that gives the median concentration within the
sample.

Options for Question 1
A) 0.60 B) 2.90 C) 3.10
D) 3.30 E) 3.70 F) 5.77

2)Choose the option that gives the lower quartile for the near-ground air
concentration within the sample.

3)Choose the option that gives the upper quartile for the near-ground
air concentration within the sample.

Options for Questions 2 and 3

A) 0.23 B) 0.60 C) 1.74 D) 3.30
E) 4.98 F) 5.77 G) 7.98 H) 8.29

Arrange the scores in order of their value. In this order, the sixth value will be the median — 50% (half) of the scores will have a higher value and 50% will have a lower value. If there are two middle-most scores, the median would be the mean of those two scores.

The lowest quartile is the lowest 25% or lowest quarter. 11/4 = 2.75, so 2.75 or rounded to 3, would be the number of scores in the lowest quartile.

At the high end, the same would be true of the highest quartile.

I hope this helps. Thanks for asking.

To find the answer to the question, we need to understand the concept of median and quartiles. The median is the middle value in a dataset when arranged in ascending order. It divides the dataset into two equal halves.

The quartiles divide a dataset into four equal parts. The lower quartile (Q1) represents the 25th percentile, meaning 25% of the data falls below it. The upper quartile (Q3) represents the 75th percentile, meaning 75% of the data falls below it.

Now, let's find the answers to the questions:

1) To find the median, we arrange the measurements in ascending order:
0.05, 0.23, 0.60, 1.74, 2.90, 3.30, 4.85, 4.98, 5.77, 7.98, 8.29

Since we have 11 measurements, the median will be the middle value. In this case, it is the 6th value, which is 3.30.

Therefore, the correct option for Question 1 is D) 3.30.

2) To find the lower quartile (Q1), we can first find the position of Q1 within the dataset. It is the 25th percentile, which corresponds to the 25% * (11 + 1) = 3rd position.

The 3rd position is 0.60.

Therefore, the correct option for Question 2 is B) 0.60.

3) To find the upper quartile (Q3), we can similarly find its position within the dataset. It is the 75th percentile, which corresponds to the 75% * (11 + 1) = 9th position.

The 9th position is 5.77.

Therefore, the correct option for Question 3 is F) 5.77.

I hope this helps you solve the questions! If you have any further queries, feel free to ask.