📘 Excel Functions for Chapter 4 Distributions

This table lists commonly used Excel functions for each probability distribution covered in Chapter 4, with real-life student-related examples you can try in Excel.

Distribution Excel Function Example
Chi-Squared CHISQ.DIST(x, df, cumulative) A statistics quiz has 3 questions. What is the probability a student's score falls below 6.63?
=CHISQ.DIST(6.63, 3, TRUE)
Exponential EXPON.DIST(x, lambda, cumulative) Time between bus arrivals follows an exponential distribution with λ = 0.5. What's the probability the next bus arrives in under 2 minutes?
=EXPON.DIST(2, 0.5, TRUE)
Gamma GAMMA.DIST(x, alpha, beta, cumulative) A student drinks energy drinks to stay awake. If the waiting time between caffeine effects follows Gamma(2, 2), what's the chance they feel alert in under 10 minutes?
=GAMMA.DIST(10, 2, 2, TRUE)
Normal NORM.DIST(x, mean, std_dev, cumulative) Test scores in a class are normally distributed with mean 70 and SD 5. What is the probability a student scores below 75?
=NORM.DIST(75, 70, 5, TRUE)
Lognormal LOGNORM.DIST(x, mean, std_dev, cumulative) Daily spending on snacks follows a lognormal distribution. What’s the probability a student spends under $5 if mean=1, SD=0.5?
=LOGNORM.DIST(5, 1, 0.5, TRUE)
Weibull WEIBULL.DIST(x, alpha, beta, cumulative) A student’s headphones typically last 5 months on average. What’s the chance they fail before month 4? (α=2, β=5)
=WEIBULL.DIST(4, 2, 5, TRUE)
Beta BETA.DIST(x, alpha, beta, cumulative, A, B) Probability a student finishes a project within 60% of the time (scaled between 0 and 1). Assume α=2, β=5.
=BETA.DIST(0.6, 2, 5, TRUE, 0, 1)
Poisson POISSON.DIST(x, mean, cumulative) On average, 4 students arrive at the library each hour. What is the probability that 3 or fewer students show up in the next hour?
=POISSON.DIST(3, 4, TRUE)
Binomial BINOM.DIST(x, trials, prob, cumulative) A student takes 5 multiple-choice questions, each with a 40% chance of guessing correctly. What’s the probability they get 2 or fewer correct?
=BINOM.DIST(2, 5, 0.4, TRUE)
Uniform Use formula: (x - a) / (b - a) Class starts between 2:00 and 2:10 randomly. What’s the chance it starts before 2:06?
=(6 - 0) / (10 - 0)
Standard Normal NORM.S.DIST(z, cumulative) A student’s Z-score is 1.2. What is the probability they are below average + 1.2 SD?
=NORM.S.DIST(1.2, TRUE)
t-distribution T.DIST(x, df, cumulative) A student performs a t-test and gets t = 2.1, df = 10. What’s the left-tail p-value?
=T.DIST(2.1, 10, TRUE)
F-distribution F.DIST(x, df1, df2, cumulative) Comparing two variances in lab data, with df1=2, df2=10. What is P(F ≤ 3)?
=F.DIST(3, 2, 10, TRUE)