Descriptive Statistics
48/7
8
8
1.726149
1.864454
146/49
5
Q1 = 5, Q3 = 8
The bars show how often each value occurs. The solid line marks the mean, the dashed line the median.
Step-by-step solution
- 1
The data
7 values, sorted in ascending order.
- 2
Sum and mean
Add all values, then divide the sum by n = 7. Decimal approximation: 48/7 ≈ 6.857143.
- 3
Median
With an odd number of values, the median is the middle value — position 4 of 7.
- 4
Mode
The value 8 appears 3 times — more often than any other value, so it is the mode.
- 8 appears 3 times
- 5
Range
The range is the difference between the largest and the smallest value.
- 6
Population variance σ²
Square each deviation from the mean, add the squared deviations, and divide by n = 7.
- (4 − 48/7)² = 400/49
- (5 − 48/7)² = 169/49
- (6 − 48/7)² = 36/49
- (8 − 48/7)² = 64/49
- (8 − 48/7)² = 64/49
- (8 − 48/7)² = 64/49
- (9 − 48/7)² = 225/49
- 7
Sample variance s²
For a sample of a larger population, dividing by n − 1 = 6 instead of n (Bessel's correction) gives an unbiased estimate of the population variance.
- (4 − 48/7)² = 400/49
- (5 − 48/7)² = 169/49
- (6 − 48/7)² = 36/49
- (8 − 48/7)² = 64/49
- (8 − 48/7)² = 64/49
- (8 − 48/7)² = 64/49
- (9 − 48/7)² = 225/49
- 8
Standard deviations
The standard deviation is the square root of the variance. It is irrational in general, so only a decimal approximation is shown.
- 9
Quartiles
Q1 is the median of the lower half (first 3 sorted values) and Q3 the median of the upper half (last 3 sorted values) — the middle value belongs to neither half.
- 10
Result
Mean 48/7 ≈ 6.857143, median 8, mode 8, population standard deviation σ ≈ 1.726149.
About descriptive statistics
Mean, median and mode measure the center of a data set in different ways: the mean uses every value and reacts to outliers, the median splits the sorted data in half, and the mode finds the most frequent value.
Spread comes from the variance — the average squared deviation from the mean — and the standard deviation, which returns to the original units. Both the population (÷ n) and sample (÷ n−1) versions are computed here.
Quartiles cut the sorted data into four equal parts and, with the median, form the five-number summary behind every box plot; the histogram shows the shape of the distribution.