Review the key concepts, formulae, and examples before starting your quiz.
🔑Concepts
The Mean () is the arithmetic average of a data set. It is sensitive to outliers and extreme values.
The Median ( or ) is the middle value when the data is arranged in ascending or descending order. It is a robust measure as it is less affected by outliers.
The Mode is the most frequently occurring value in a data set. A data set can be bimodal (two modes) or have no mode at all.
For Grouped Data, we estimate the mean by using the midpoint () of each class interval and multiplying it by the frequency ().
In a Symmetrical Distribution, the mean, median, and mode are approximately equal. In a Skewed Distribution, the mean is pulled toward the tail.
For the IB AI course, the Graphic Display Calculator (GDC) is the primary tool for calculating these measures using '1-Variable Statistics' functions.
📐Formulae
💡Examples
Problem 1:
Calculate the mean and median for the following discrete frequency table:
Solution:
- Find : .
- Find : .
- Mean .
- Median Position: value.
- The cumulative frequencies are . The value falls in the second group, so Median = .
Explanation:
We use the weighted mean formula for frequency tables. The median is found by identifying the value corresponding to the middle position in the cumulative frequency.
Problem 2:
In a group of 5 students, the heights are cm, cm, cm, cm, and cm. If the mean height is cm, find the value of .
Solution:
Using the mean formula:
Explanation:
To find a missing value, we set up an algebraic equation based on the definition of the arithmetic mean and solve for the unknown .
Problem 3:
Consider the following grouped frequency table for the weights () of 20 items: Estimate the mean weight.
Solution:
- Identify midpoints (): .
- Calculate :
- .
- .
- Estimated Mean kg.
Explanation:
For grouped data, we assume all values in an interval are located at the midpoint. This provides an estimate of the mean.