Statistical Methods in Physics and Astronomy

CT Score

1500

#0 of 0 in ASTR

Difficulty

—/10

Workload

—h/wk

Median grade

—

from grade distribution

Would take again

—

n = 0 verified

Grade distribution

No distribution published for this course.

By professor: same course, different game

PROFESSORSCOREGRADEHRS/WKTERMS

Professor ratings →

Sections

No section data for this term yet.

In the tree

( PHYS 101 or PHYS 111 or PHYS 125 ) and ( PHYS 102 or PHYS 112 or PHYS 126 ) Description: Statistical methods commonly used in the analysis of astronomical, laboratory, and survey data. Topics include curve fitting, parametric and non-parametric hypothesis testing, cluster analysis, principal component analysis, time-series data, and truncated data. Fundamentals of statistics, including probability distributions, means, variances, the Central Limit Theorem, hypothesis testing, error propagation, Bayesian analysis, jacknife, and bootstrap are covered. The class introduces students to the R programming language. Graduate/Undergraduate Equivalency: ASTR 508 . Mutually Exclusive: Cannot register for ASTR 408 if student has credit for ASTR 508→ASTR 408→unlocks 0 courses

No mapped courses require this one yet. See on the map →

Study groups

0 active

🔒 Verified-only writes. You post as “sophomore, lecture section”: real enough to trust, anonymous enough to be honest.