Review the key concepts, formulae, and examples before starting your quiz.
🔑Concepts
The process of combining quantities in data analysis often involves finding a representative value, such as the Arithmetic Mean, which accounts for every observation in the data set.
The Arithmetic Mean (or simply Mean) of a set of observations is the sum of the values of all the observations divided by the total number of observations.
When data is presented in a frequency distribution table, where observations occur with frequencies , the quantities are combined using the weighted sum .
Combining two groups: If one group of items has a mean and another group of items has a mean , the combined mean is calculated by finding the total sum of all items across both groups.
The Range of a data set is the difference between the maximum and minimum values, representing the spread of the combined quantities: .
📐Formulae
💡Examples
Problem 1:
The mean marks obtained by a class of students is and the mean marks of another class of students is . Find the combined mean of the marks of all students.
Solution:
Given: Number of students in Class 1 () = Mean of Class 1 () = Number of students in Class 2 () = Mean of Class 2 () =
Step 1: Calculate the total marks for Class 1.
Step 2: Calculate the total marks for Class 2.
Step 3: Combine the totals and the number of students.
Step 4: Use the combined mean formula.
Therefore, the combined mean is .
Explanation:
To combine the means of two different groups, we cannot simply average the means. We must find the total sum of all values (marks) from both groups and divide by the total number of items (students).
Problem 2:
Find the mean of the following frequency distribution: Observations (): Frequency ():
Solution:
We calculate and :
- For
- For
- For
- For
Sum of :
Sum of :
Mean ():
The mean of the distribution is .
Explanation:
When quantities repeat, we multiply each quantity by its frequency to find the total sum before dividing by the total number of occurrences.