STAT 3210 [0.5 credit] Inferential Data Science Foundations I
Theoretical foundations to data science using open source software. Empirical distribution functions, point estimation, interval estimation, tests of hypotheses, maximum likelihood and method of moments. Formal tools are developed, and concepts are demonstrated using simulation. Abstract concepts are made concrete through visualization and numerical computation.
Precludes additional credit for STAT 3508, STAT 3558.
Prerequisite(s): MATH 2007 (or MATH 1005 or MATH 2052); and DATA 2500; and DATA 1519 (or STAT 2509 or STAT 2559).
Lectures three hours a week, laboratory one hour a week.
Prerequisite(s): MATH 2007 (or MATH 1005 or MATH 2052); and DATA 2500; and DATA 1519 (or STAT 2509 or STAT 2559).
Lectures three hours a week, laboratory one hour a week.
Mathematics and Statistics
Undergraduate Calendar
http://calendar.carleton.ca/undergrad/undergradprograms/mathematicsandstatistics/
MATH 2000 requires C+ in (MATH 1002 (no longer offered) or MATH 2052 ) , or B+ in ( MATH 2007 or MATH 1005 ), and C+ in (MATH 1102 (no longer offered) or MATH 2152 ), or B+ in ( MATH 1107 or MATH 1104 ). MATH 2100 requires C+ in (MATH 1102 (no longer offered) or MATH 2152 ), or B+ in MATH 2107 . MATH 2454 requires C+ in (MATH 1002 (no longer offered) or MATH 2052 or MATH 2007 or MATH 1005 ), and C+ in (MATH 1102 (no longer offered) or MATH 2152 or MATH 2107 ). STAT 2655 requires C+ in (MATH 1002 (no longer offered) or MATH 2052 or MATH 2007 or MATH 1005 ), and C+ in (MATH 1102 (no longer offered) or MATH 2152 or MATH 1107 or MATH 1104 ). MATH 2007 requires MATH 1004 or C- in ( MATH 1007 or MATH 1009 ). MATH 2107 requires MATH 1104 or C- in MATH 1107