Rainfall Variability
1. **Stating the problem:** We need to calculate the range and standard deviation for rainfall data of City A and City B, and determine which city has more variability in rainfall. We will also discuss how these measures help us understand rainfall patterns.
2. **Given data:**
- City A rainfall (in inches): $\{3.2, 4.1, 3.8, 4.0, 3.5, 3.9\}$
- City B rainfall (in inches): $\{2.5, 5.0, 3.0, 4.5, 2.8, 4.2\}$
3. **Calculate the Range:**
- Range is the difference between the maximum and minimum values.
- For City A: $\max = 4.1$, $\min = 3.2$, so Range = $4.1 - 3.2 = 0.9$
- For City B: $\max = 5.0$, $\min = 2.5$, so Range = $5.0 - 2.5 = 2.5$
4. **Calculate the Standard Deviation:**
- Standard deviation measures how spread out the data is from the mean.
**City A:**
- Mean $\mu_A = \frac{3.2 + 4.1 + 3.8 + 4.0 + 3.5 + 3.9}{6} = \frac{22.5}{6} = 3.75$
- Calculate squared deviations:
$$ (3.2 - 3.75)^2 = 0.3025 $$
$$ (4.1 - 3.75)^2 = 0.1225 $$
$$ (3.8 - 3.75)^2 = 0.0025 $$
$$ (4.0 - 3.75)^2 = 0.0625 $$
$$ (3.5 - 3.75)^2 = 0.0625 $$
$$ (3.9 - 3.75)^2 = 0.0225 $$
- Sum of squares = $0.3025 + 0.1225 + 0.0025 + 0.0625 + 0.0625 + 0.0225 = 0.575$
- Variance $\sigma_A^2 = \frac{0.575}{6} \approx 0.0958$
- Standard deviation $\sigma_A = \sqrt{0.0958} \approx 0.31$
**City B:**
- Mean $\mu_B = \frac{2.5 + 5.0 + 3.0 + 4.5 + 2.8 + 4.2}{6} = \frac{22.0}{6} \approx 3.67$
- Calculate squared deviations:
$$ (2.5 - 3.67)^2 = 1.3689 $$
$$ (5.0 - 3.67)^2 = 1.7689 $$
$$ (3.0 - 3.67)^2 = 0.4489 $$
$$ (4.5 - 3.67)^2 = 0.6889 $$
$$ (2.8 - 3.67)^2 = 0.7569 $$
$$ (4.2 - 3.67)^2 = 0.2809 $$
- Sum of squares = $1.3689 + 1.7689 + 0.4489 + 0.6889 + 0.7569 + 0.2809 = 5.3124$
- Variance $\sigma_B^2 = \frac{5.3124}{6} \approx 0.8854$
- Standard deviation $\sigma_B = \sqrt{0.8854} \approx 0.94$
5. **Comparison and discussion:**
- City A range = 0.9, standard deviation = 0.31
- City B range = 2.5, standard deviation = 0.94
Since City B has both higher range and standard deviation, it experiences more variability in rainfall.
These measures help us understand how consistent or variable the rainfall is month-to-month:
- Range gives the spread from lowest to highest rainfall.
- Standard deviation gives information on how much rainfall values deviate around the mean, reflecting typical fluctuations.
Understanding variability helps in planning for agriculture, water resources, and flood control.