Day 1:BOX PLOT/ box and whisker plot:

Box Plot helps to determine data’s skewness, variance, and presence of Outliers. Box plot allows multiple data sets to be visualized in one graph. This is very effective and easy to read and help in effective Decision Making.?

It contains the following:

1.????Minimum Value

2.????Lower Quartile(Q1)

3.????Median Value

4.????Upper Quartile(Q3)

5.????Maximum Value

1.????Minimum Value: This is the point in the box plot which represents the lowest value over which the box plot is built and is not an outlier.

2.????Lower Quartile-It is known as First Quartile. It splits 25% of the data.

3.????Median Value: When dataset is arranged in descending/ascending order, a value that falls in the middle of the dataset.

4.????Upper Quartile: Splits lowest 75% of data or highest 25%

5.????Maximum Value: This is the point in the box plot represents the highest value over which the box plot is built and is not an outlier.

?The example of Box plot is listed below:

Figure 1.1 indicates the following:

Median of whole data set is 43.5

Median – 54-567->69.5

Median-1-33->12

Q3-Q1=69.5-12=57.5

IQR=57.5

Upper Fence=Q3+1.5(IQR)=155.75

Lower Fence=Q1-1.5(IQR)=-74.25

Upper Upper Fence=Q3+3(IQR)=242

Lower Lower Fence=Q1-3(IQR)=-160.5

The figure of Box Plot is drawn below:

Below is the figure drawn of Box plot and the values are plotted as mentioned above. We can see the Maximum value is 123. The outliers are 167 and 567.

Outliers:

167-Minor Outlier

567-Major Outlier