can someone explain box and whisker plots to me

https://www.khanacademy.org/math/statistics-probability/summarizing-quantitative-data/box-whisker-plots/a/box-plot-review

i still dont get it x_x

I suggest you Google it and read a number of sites. Surely you will find one that meets your needs. I Googled the one I found.

Certainly! A box and whisker plot, also known as a box plot, is a graphical representation of a dataset that displays the distribution of values. It provides a visual summary of the minimum, first quartile, median, third quartile, and maximum values of the dataset.

To understand how to create a box and whisker plot, follow these steps:

1. Start by sorting the dataset in ascending order.
2. Find the minimum value, which is the smallest value in the dataset.
3. Find the maximum value, which is the largest value in the dataset.
4. Calculate the median, which is the middle value of the sorted dataset. If the dataset has an odd number of values, the median is the middle value. If the dataset has an even number of values, the median is the average of the two middle values.
5. Determine the first quartile (Q1), which is the median of the lower half of the dataset. It divides the lower half into two equal parts.
6. Determine the third quartile (Q3), which is the median of the upper half of the dataset. It divides the upper half into two equal parts.
7. Use the minimum, Q1, median, Q3, and maximum values to create the plot.

Here's how the plot is constructed:
- Draw a number line and label it appropriately.
- Mark the positions of the minimum, Q1, median, Q3, and maximum values on the number line.
- Draw a box from Q1 to Q3, representing the interquartile range (IQR). The line inside the box represents the median.
- Extend lines, called whiskers, from the box to the minimum and maximum values. These lines show the range of the dataset.
- Optional: Add individual data points outside of the whiskers to indicate any outliers.

A box and whisker plot provides a concise summary of the dataset's distribution, making it easier to compare multiple datasets or identify any outliers.