Ranu Castaneda Medina
Winter Term 2026 (1940)
STAT 235 - Introductory Statistics for Engineering
3.8 units (fi 6)(EITH/SP/SU, 3-0-1.5)
Descriptive data analysis. Calculus of Probability. Binomial, normal, and exponential distributions. Sampling distributions. Estimation, testing hypotheses, and one-way analysis of variance. Linear correlation and regression. Sampling. Use of a microcomputer software package for statistical analyses in engineering applications. Prerequisite: MATH 100. Corequisite: MATH 101. Notes: (1) This course may not be taken for credit if credit has already been obtained in one of STAT 151, 161, 222, 265, 266, 276, 281; KIN 109, PEDS 109, PSYCH 211, PTHER 352, SCI 151 or SOC 210. (2) Intended for Engineering students. (2) Intended for Engineering students. Other students who take this course will receive 3.0 units.
LAB EL01 (83002)
2026-01-05 - 2026-04-10
M 08:00 - 09:20
LAB EL20 (83010)
2026-01-05 - 2026-04-10
R 16:00 - 17:20
LAB EL04 (83211)
2026-01-05 - 2026-04-10
M 14:00 - 15:20
Spring Term 2026 (1950)
STAT 151A - Introduction to Applied Statistics I
0 units (fi 6)(EITHER, 3-0-0)
Data collection and presentation, descriptive statistics. Probability distributions, sampling distributions and the central limit theorem. Point estimation, confidence intervals and hypothesis testing. Correlation and regression analysis. ANOVA. Goodness of fit and contingency table. Prerequisite: Mathematics 30-1 or 30-2. Notes: (1) Credit can be obtained in at most one of STAT 151, STAT 161, and STAT 235. (2) This course may not be taken for credit if credit has been obtained in STAT 222, STAT 266, STAT 276, KIN 109, PEDS 109, PSYCH 211, PTHER 352, SCI 151 or SOC 210.
LECTURE F30B (31551)
2026-05-04 - 2026-06-19
MW 11:00 - 12:50
Summer Term 2026 (1960)
STAT 151B - Introduction to Applied Statistics I
3 units (fi 6)(EITHER, 3-0-0)
Data collection and presentation, descriptive statistics. Probability distributions, sampling distributions and the central limit theorem. Point estimation, confidence intervals and hypothesis testing. Correlation and regression analysis. ANOVA. Goodness of fit and contingency table. Prerequisite: Mathematics 30-1 or 30-2. Notes: (1) Credit can be obtained in at most one of STAT 151, STAT 161, and STAT 235. (2) This course may not be taken for credit if credit has been obtained in STAT 222, STAT 266, STAT 276, KIN 109, PEDS 109, PSYCH 211, PTHER 352, SCI 151 or SOC 210.
LECTURE F30B (40983)
2026-06-29 - 2026-08-07
MW 11:00 - 12:50