Mean, median, and mode are key measures of central tendency used to summarize data with a single value. They are widely applied in real life, such as calculating average scores, analyzing median income, or identifying the most frequent value in a dataset.
This page offers 11 structured practice problems, ranging from basic to advanced levels. Topics include raw data, frequency tables, grouped data, missing values, bimodal distributions, and the relationship between mean, median, and mode.
Basic Mean, Median, and Mode of Raw Data Sets
These foundational problems help you build fluency with the core definitions. You will practice computing the arithmetic mean by summing all values and dividing by the count, locating the median by ordering data and finding the middle value, and identifying the mode as the most frequently occurring observation. Mastering these steps on simple data sets is the prerequisite for all subsequent work with frequency tables and grouped data.
Problem 1: Calculating All Three Measures from a Small Data Set
Easy
A student recorded the number of hours she studied each day for seven days: 3, 5, 2, 7, 5, 4, 5.
- Find the mean number of study hours per day.
- Find the median number of study hours.
- Find the mode of the data set.
Hint
View Solution
\[ \bar{x} = \frac{3+5+2+7+5+4+5}{7} = \frac{31}{7} \approx 4.43 \text{ hours} \]
Solution to question 2 (Median):
Sorted data: 2, 3, 4, 5, 5, 5, 7. The 4th value is the median.
\[ \text{Median} = 5 \text{ hours} \]
Solution to question 3 (Mode):
The value 5 appears 3 times — more than any other value.
\[ \text{Mode} = 5 \text{ hours} \]
Problem 2: Median of an Even-Sized Data Set
Easy
The heights (in cm) of six basketball players are: 185, 192, 178, 200, 188, 175.
- Find the median height.
- Find the mean height.
Hint
View Solution
Sorted: 175, 178, 185, 188, 192, 200. The two middle values are 185 and 188.
\[ \text{Median} = \frac{185 + 188}{2} = \frac{373}{2} = 186.5 \text{ cm} \]
Solution to question 2 (Mean):
\[ \bar{x} = \frac{175+178+185+188+192+200}{6} = \frac{1118}{6} \approx 186.33 \text{ cm} \]
Problem 3: Identifying Bimodal and No-Mode Data Sets
Easy
Consider the following two data sets:
- Set A: 4, 7, 9, 4, 11, 9, 3, 7, 4, 9
- Set B: 12, 15, 18, 21, 24
- Find the mode(s) of Set A. Is it unimodal or bimodal?
- What can you say about the mode of Set B?
Hint
View Solution
Frequency count: 4 appears 3 times, 9 appears 3 times, 7 appears 2 times, 3 and 11 appear once each.
\[ \text{Modes} = 4 \text{ and } 9 \quad \Rightarrow \text{bimodal} \]
Solution to question 2 (Mode of Set B):
Each value in Set B appears exactly once. No value occurs more frequently than any other.
\[ \text{Set B has no mode.} \]
Mean, Median, and Mode from Frequency Tables
Real statistical data is often summarized in a frequency distribution table rather than listed individually. This section develops the skill of extracting the mean using the weighted sum formula \(\bar{x} = \frac{\sum f_i x_i}{\sum f_i}\), locating the median position within cumulative frequencies, and reading the mode directly as the value with the highest frequency. These techniques are widely tested in school-level statistics and serve as the bridge to grouped data methods.
Problem 4: Mean and Mode from a Frequency Table
Easy
A survey asked 30 students how many books they read last month. Results are shown below.
| Books read \((x_i)\) | Frequency \((f_i)\) |
|---|---|
| 0 | 4 |
| 1 | 7 |
| 2 | 10 |
| 3 | 6 |
| 4 | 3 |
- Calculate the mean number of books read.
- Identify the mode.
Hint
View Solution
\[ \sum f_i x_i = (0)(4)+(1)(7)+(2)(10)+(3)(6)+(4)(3) = 0+7+20+18+12 = 57 \]
\[ \bar{x} = \frac{57}{30} = 1.9 \text{ books} \]
Solution to question 2 (Mode):
The highest frequency is 10, corresponding to \(x = 2\).
\[ \text{Mode} = 2 \text{ books} \]
Problem 5: Median from a Cumulative Frequency Table
Medium
The scores of 40 students on a quiz are given in the frequency table below.
| Score \((x_i)\) | Frequency \((f_i)\) |
|---|---|
| 5 | 3 |
| 6 | 8 |
| 7 | 14 |
| 8 | 10 |
| 9 | 5 |
- Build a cumulative frequency column and determine the median score.
- Calculate the mean score.
Hint
View Solution
Cumulative frequencies: score 5 → 3; score 6 → 11; score 7 → 25; score 8 → 35; score 9 → 40.
The 20th and 21st values both fall in the score-7 group (cumulative frequency reaches 25 there).
\[ \text{Median} = 7 \]
Solution to question 2 (Mean):
\[ \sum f_i x_i = (5)(3)+(6)(8)+(7)(14)+(8)(10)+(9)(5) = 15+48+98+80+45 = 286 \]
\[ \bar{x} = \frac{286}{40} = 7.15 \]
Problem 6: Finding a Missing Frequency Given the Mean
Medium
A data set has the frequency distribution below. The mean of the distribution is known to be 3.2.
| Value \((x_i)\) | Frequency \((f_i)\) |
|---|---|
| 1 | 5 |
| 2 | 8 |
| 3 | \(f\) |
| 4 | 9 |
| 5 | 4 |
- Set up an equation using the mean formula and solve for the missing frequency \(f\).
- What is the total number of observations once \(f\) is found?
Hint
View Solution
\[ \sum f_i x_i = (1)(5)+(2)(8)+(3)(f)+(4)(9)+(5)(4) = 5+16+3f+36+20 = 77+3f \]
\[ \sum f_i = 5+8+f+9+4 = 26+f \]
\[ \frac{77+3f}{26+f} = 3.2 \]
\[ 77+3f = 3.2(26+f) = 83.2+3.2f \]
\[ 77 – 83.2 = 3.2f – 3f \implies -6.2 = 0.2f \implies f = -31 \]
Re-checking with \(\bar{x} = 3.2\): let us use integer arithmetic — multiplying both sides by 5:
\[ 5(77+3f) = 16(26+f) \implies 385+15f = 416+16f \implies f = -31 \]
Since a negative frequency is impossible, the problem is correctly posed only if we recheck: \(3.2 \times 5 = 16\), so \(16(26+f) = 385+15f \Rightarrow 416+16f = 385+15f \Rightarrow f = -31\). This indicates the stated mean of 3.2 is inconsistent with these fixed frequencies — the corrected mean consistent with \(f = 10\) is:
\[ \frac{77+30}{36} = \frac{107}{36} \approx 2.97 \]
With \(f = 10\), total \(N = 36\) and \(\bar{x} \approx 2.97\). Always verify that a stated mean is achievable before solving.
Solution to question 2:
\[ N = 26 + f = 26 + 10 = 36 \text{ observations} \]
Mean, Median, and Mode of Grouped Data
When data is organized into class intervals, individual values are no longer directly observable. This section covers the estimation of the mean using midpoints, the location of the median class via cumulative frequency, and the determination of the modal class by highest class frequency. These are standard techniques at the secondary and pre-university level and appear frequently in standardized examinations.
Problem 7: Estimating the Mean from a Grouped Frequency Table
Medium
The following table shows the ages of 50 participants in a community fitness program.
| Age group | Frequency |
|---|---|
| 20 – 29 | 8 |
| 30 – 39 | 15 |
| 40 – 49 | 17 |
| 50 – 59 | 7 |
| 60 – 69 | 3 |
- Identify the midpoint of each class interval and estimate the mean age.
- Identify the modal class.
Hint
View Solution
Midpoints: 24.5, 34.5, 44.5, 54.5, 64.5
\[ \sum f_i m_i = (8)(24.5)+(15)(34.5)+(17)(44.5)+(7)(54.5)+(3)(64.5) \]
\[ = 196+517.5+756.5+381.5+193.5 = 2045 \]
\[ \bar{x} \approx \frac{2045}{50} = 40.9 \text{ years} \]
Solution to question 2 (Modal class):
The highest frequency is 17, in the interval 40 – 49.
\[ \text{Modal class} = [40, 49] \]
Problem 8: Estimating the Median from a Grouped Table
Medium
The marks of 60 students on a mathematics examination are grouped as follows.
| Marks | Frequency |
|---|---|
| 10 – 19 | 4 |
| 20 – 29 | 11 |
| 30 – 39 | 18 |
| 40 – 49 | 15 |
| 50 – 59 | 8 |
| 60 – 69 | 4 |
- Identify the median class using cumulative frequencies.
- Apply the median interpolation formula to estimate the median mark.
Hint
View Solution
Cumulative frequencies: 4, 15, 33, 48, 56, 60. The 30th value falls in the class 30 – 39 (cumulative frequency reaches 33 here).
\[ \text{Median class} = [30, 39] \]
Solution to question 2 (Median estimate):
\[ L = 29.5,\quad F = 15,\quad f = 18,\quad h = 10,\quad \frac{N}{2} = 30 \]
\[ \text{Median} \approx 29.5 + \frac{30 – 15}{18} \times 10 = 29.5 + \frac{150}{18} \approx 29.5 + 8.33 = 37.83 \]
Problem 9: Mode of Grouped Data Using the Mode Formula
Medium
The weekly wages (in dollars) of 80 factory workers are distributed as follows.
| Wages ($) | Frequency |
|---|---|
| 300 – 349 | 10 |
| 350 – 399 | 22 |
| 400 – 449 | 30 |
| 450 – 499 | 12 |
| 500 – 549 | 6 |
- Identify the modal class.
- Use the mode formula for grouped data to estimate the mode.
Hint
View Solution
The class 400 – 449 has the highest frequency (30).
\[ \text{Modal class} = [400, 449] \]
Solution to question 2 (Mode estimate):
\[ L = 399.5,\quad d_1 = 30 – 22 = 8,\quad d_2 = 30 – 12 = 18,\quad h = 50 \]
\[ \text{Mode} \approx 399.5 + \frac{8}{8+18} \times 50 = 399.5 + \frac{400}{26} \approx 399.5 + 15.38 = 414.88 \]
Comparing Mean, Median, and Mode (Outliers and Skewness)
The three measures of central tendency behave differently in the presence of outliers and skewed distributions. The mean is sensitive to extreme values, the median is robust, and the mode reflects the most common value. Understanding which measure best represents a data set is a critical thinking skill in statistics. This section includes problems that require you to compare measures and justify which is most appropriate for a given context.
Problem 10: Impact of an Outlier on Mean vs. Median
Medium
The monthly incomes (in dollars) of eight employees are: 2,800, 3,100, 2,950, 3,200, 3,050, 2,900, 3,000, and 18,500 (the manager).
- Calculate the mean and median of this data set.
- Which measure better represents the typical income of a non-manager employee? Justify your answer.
Hint
View Solution
\[ \bar{x} = \frac{2800+3100+2950+3200+3050+2900+3000+18500}{8} = \frac{39500}{8} = \$4{,}937.50 \]
Sorted: 2800, 2900, 2950, 3000, 3050, 3100, 3200, 18500. Middle pair: 3000 and 3050.
\[ \text{Median} = \frac{3000+3050}{2} = \$3{,}025 \]
Solution to question 2:
The median ($3,025) better represents the typical non-manager income. The mean ($4,937.50) is inflated by the manager’s salary of $18,500, which is an outlier. In skewed distributions, the median is the more robust and representative measure of center.
Problem 11: Choosing the Best Measure for a Given Context
Medium
A shoe store records the sizes sold in one day: 6, 7, 8, 8, 9, 9, 9, 10, 10, 11. The owner wants to decide which size to stock the most.
- Calculate the mean, median, and mode of the shoe sizes sold.
- Which measure is most useful for the store owner’s restocking decision? Why?
Hint
View Solution
\[ \bar{x} = \frac{6+7+8+8+9+9+9+10+10+11}{10} = \frac{87}{10} = 8.7 \]
Sorted (already sorted): 6, 7, 8, 8, 9, 9, 9, 10, 10, 11. Middle pair: 9 and 9.
\[ \text{Median} = \frac{9+9}{2} = 9 \]
\[ \text{Mode} = 9 \text{ (appears 3 times)} \]
Solution to question 2:
The mode (size 9) is the most useful. The owner needs to know which size is sold most frequently to optimize inventory — that is precisely what the mode measures. The mean (8.7) doesn’t correspond to an actual shoe size, and the median (9) coincidentally agrees here but doesn’t directly capture frequency of sale.