SUMMARY
The calculation of the probability P(22 <= X <= 25) for a normally distributed variable X ~ N(22, 4) results in 0.4332. This is derived by standardizing the variable to a z-score using the formula z = (x - 22)/sqrt(4), which transforms the range into P(0 <= z <= 1.5). The final probability is computed as P(z <= 1.5) - P(z <= 0), yielding 0.9332 - 0.5 = 0.4332, confirming the accuracy of the result.
PREREQUISITES
- Understanding of normal distribution and its properties
- Familiarity with z-scores and standardization techniques
- Ability to read and interpret a standard normal table
- Basic knowledge of probability calculations
NEXT STEPS
- Study the concept of normal distribution in depth
- Learn how to calculate z-scores for different distributions
- Explore the use of statistical software for probability calculations
- Review advanced topics in inferential statistics
USEFUL FOR
Students in statistics, data analysts, and professionals working with probability and statistical analysis will benefit from this discussion.