Lesson 76 — Normal distribution
Bell curve: density, Z-standardization, 68-95-99.7 rule, confidence intervals, and Z-tests. The central distribution of statistics and applied sciences.
Used in: Stochastik — Leistungskurs alemão · H2 Math — Singapura · AP Statistics — EUA · Math B — Japão
Rigorous notation, full derivation, hypotheses
Rigorous definition
Density and parameters
"If is a random variable and has a normal distribution with mean and standard deviation , we write . The mean is the center of the symmetric curve, and the standard deviation gives the spread." — OpenStax Statistics §6.1
"Normal distributions are symmetric around their mean... The area under a normal distribution curve within one standard deviation of the mean is approximately 68%, within two standard deviations is approximately 95%, and within three standard deviations is approximately 99.7%." — OpenIntro Statistics §3.5
Normal curve: 68% of data between μ ± σ (dark central region), 27.2% between μ ± 2σ (side regions), 0.3% in the tails beyond μ ± 3σ.
Solved examples
Exercise list
42 exercises · 10 with worked solution (25%)
- Ex. 76.1Application
. Calculate the z-score for .
- Ex. 76.2Application
. Calculate the z-score for .
- Ex. 76.3ApplicationAnswer key
Calculate .
- Ex. 76.4Application
Calculate .
- Ex. 76.5Application
Calculate .
- Ex. 76.6Application
Calculate .
- Ex. 76.7Application
Calculate .
- Ex. 76.8Application
. Calculate .
- Ex. 76.9Application
. Calculate .
- Ex. 76.10Application
(variance = 4). Calculate .
- Ex. 76.11ApplicationAnswer key
Calculate the 90th percentile of .
- Ex. 76.12Application
Calculate (25th percentile) of .
- Ex. 76.13Application
IQ . What % of the population has an IQ between 85 and 115?
- Ex. 76.14Application
IQ . What % has an IQ above 130?
- Ex. 76.15Application
IQ . What % has an IQ above 145?
- Ex. 76.16Application
Heights cm. What % has a height above 186 cm?
- Ex. 76.17ApplicationAnswer key
Grades . From which grade does the top 5% start?
- Ex. 76.18Application
. Calculate .
- Ex. 76.19ApplicationAnswer key
For , what is the relationship between median, mode, and ?
- Ex. 76.20Application
and independent. What is the distribution of ?
- Ex. 76.21Application
Monthly salary reais. What is the salary floor for the top 10%?
- Ex. 76.22ApplicationAnswer key
Flight duration min. How much time to reserve to have 99% confidence of arriving on time?
- Ex. 76.23Application
Daily stock returns . Calculate .
- Ex. 76.24Application
Voltage . Device fails if V. Calculate the probability of failure.
- Ex. 76.25Modeling
Parts with diameter mm. Tolerance mm. What fraction is rejected?
- Ex. 76.26Modeling
Survey with 1000 respondents estimates real proportion . Construct a 95% CI for .
- Ex. 76.27ModelingAnswer key
, , (known). Construct a 95% CI for .
- Ex. 76.28Modeling
Test vs. . , , . Calculate the p-value and decide.
- Ex. 76.29ModelingAnswer key
Execution time ms. To guarantee SLA with 95% of requests below the limit, what threshold should be set?
- Ex. 76.30Modeling
Six Sigma: specification . With a 1.5σ adjustment for process drift, calculate defects per million. Why is the result 3.4 ppm and not virtually zero?
- Ex. 76.31Modeling
X-bar chart with , (known), . Calculate UCL and LCL at .
- Ex. 76.32Modeling
ML model scores . What is the threshold to select the top 20% of models?
- Ex. 76.33Modeling
100Ω resistor with ± 5% tolerance. Assuming ohm (3 = tolerance), calculate the fraction within specification.
- Ex. 76.34Modeling
Annual portfolio return . Calculate the probability of a negative return in one year.
- Ex. 76.35Modeling
ENEM grades (Math) . Calculate .
- Ex. 76.36ModelingAnswer key
Annual IPCA modeled as . Inflation target: up to 6.5%. What is the probability of exceeding the target?
- Ex. 76.37Understanding
Why do we standardize to the standard normal? What justifies the existence of a single table?
- Ex. 76.38Understanding
Is the normal tail "thin" or "heavy"? Why does this matter in financial risk modeling?
- Ex. 76.39Challenge
Show that if , then has a chi-squared distribution with 1 degree of freedom.
- Ex. 76.40Proof
Demonstrate that if and (with ), then .
- Ex. 76.41ProofAnswer key
Demonstrate that using the polar coordinates trick.
- Ex. 76.42ProofAnswer key
Demonstrate (sketch) that the normal distribution maximizes differential entropy among all continuous distributions with fixed mean and variance .
Sources
- OpenIntro Statistics (4th ed) — Diez, Çetinkaya-Rundel, Barr · 2019 · EN · CC-BY-SA. Primary source — §3.5 (standardization, 68-95-99.7 rule, Q-Q plot, applications).
- Statistics (OpenStax) — Illowsky, Dean · 2022 · EN · CC-BY. §6.1–6.4 — density, CDF, CI, CLT, AP-level exercises.
- Introduction to Probability (Grinstead-Snell) — Grinstead, Snell · 1997 · EN · GNU FDL. §5.2 — Gaussian integral, MGF, maximum entropy, De Moivre-Laplace limit; demonstrative exercises.