SUMMARY
The smallest value of d such that P(D>d) < 0.90 for the binomial distribution D~Bin(12, 0.7) is d=8. This conclusion is derived from calculating the cumulative distribution function (CDF) for various values of d. Specifically, P(D≤7) equals 0.8862, while P(D≤8) equals 0.9574, confirming that d=8 is the threshold where the probability exceeds 0.90. Thus, there is a 90% probability that the random variable D will be less than or equal to 8.
PREREQUISITES
- Understanding of binomial distribution, specifically Binomial(n, p) notation
- Familiarity with cumulative distribution functions (CDF)
- Basic probability concepts including trials, success probability, and complementary probability
- Experience with statistical calculators or software for probability calculations
NEXT STEPS
- Learn how to calculate binomial probabilities using the binomial probability formula
- Explore the use of statistical software like R or Python for binomial distribution analysis
- Study the properties and applications of cumulative distribution functions (CDF) in statistics
- Investigate the use of binomial distribution tables for quick probability lookups
USEFUL FOR
Statisticians, data analysts, students studying probability theory, and anyone involved in statistical modeling using binomial distributions.