Sketch the boxplot for mpuls and label it with the 5-number summary
To sketch a boxplot for a dataset and label it with the 5-number summary, you need to follow these steps:
Step 1: Compute the 5-number summary.
The 5-number summary consists of the minimum, the first quartile (Q1), the median (Q2), the third quartile (Q3), and the maximum. To find these values, you need the dataset, mpuls, in this case.
Step 2: Determine outlier values.
Outliers are values that significantly deviate from the rest of the dataset. You can use the 1.5 * IQR rule to identify outliers. IQR (Interquartile Range) is the difference between Q3 and Q1. Any value less than Q1 - 1.5 * IQR or greater than Q3 + 1.5 * IQR is considered an outlier.
Step 3: Sketch the boxplot.
A boxplot consists of a box and two whiskers. The box represents the interquartile range (IQR) and contains the middle 50% of the data. The median is shown as a line across the box. The whiskers extend from the box to the minimum and maximum values, excluding the outliers.
Now let's go through these steps to sketch the boxplot for the dataset mpuls and label it with the 5-number summary.
Step 1: Compute the 5-number summary.
Calculate the minimum, Q1, median, Q3, and maximum values for the dataset mpuls.
Step 2: Determine outlier values.
Apply the 1.5 * IQR rule to identify any potential outliers.
Step 3: Sketch the boxplot.
Draw a number line and mark the values of the 5-number summary and any outliers as determined in step 1 and 2. Create the boxplot by drawing a box between Q1 and Q3, with a line across it to represent the median. Add whiskers from the box to the minimum and maximum values, excluding any outliers.
Remember, without the actual dataset mpuls, I can't provide specific values or draw an accurate boxplot, but I hope this explanation helps you in creating the boxplot for your data.