ST 231

Stats for Life & Health Sci

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This course covers all basic statistical concepts, and includes relevant examples for life and health science students. The course introduces descriptive and inferential statistics; basic probability theory; discrete and continuous random variables with focus on binomial and normal random variables; statistical inference for population means and population proportions, both for one and two populations, with focus on confidence intervals and tests of hypotheses. Furthermore, simple and multiple linear regression methods are covered as well as one-way and two-way ANOVA. Problems are analyzed with the aid of appropriate software. Prerequisites: One of: MA100, MA101, MA102, MA103, MA110. Exclusions: EC205/BU205, EC255/BU255, EC285, MA141, MA240, MA241, PS296, ST230, prior credit for ST260, current enrollment in ST260. This course may not count for credit in Honours Mathematics, Financial Mathematics or Data Science programs.

This course covers all basic statistical concepts, and includes relevant examples for life and health science students. The course introduces descriptive and inferential statistics; basic probability theory; discrete and continuous random variables with focus on binomial and normal random variables; statistical inference for population means and population proportions, both for one and two populations, with focus on confidence intervals and tests of hypotheses. Furthermore, simple and multiple linear regression methods are covered as well as one-way and two-way ANOVA. Problems are analyzed with the aid of appropriate software. Prerequisites: One of: MA100, MA101, MA102, MA103, MA110. Exclusions: EC205/BU205, EC255/BU255, EC285, MA141, MA240, MA241, PS296, ST230, prior credit for ST260, current enrollment in ST260. This course may not count for credit in Honours Mathematics, Financial Mathematics or Data Science programs.

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This course covers all basic statistical concepts, and includes relevant examples for life and health science students. The course introduces descriptive and inferential statistics; basic probability theory; discrete and continuous random variables with focus on binomial and normal random variables; statistical inference for population means and population proportions, both for one and two populations, with focus on confidence intervals and tests of hypotheses. Furthermore, simple and multiple linear regression methods are covered as well as one-way and two-way ANOVA. Problems are analyzed with the aid of appropriate software. Prerequisites: One of: MA100, MA101, MA102, MA103, MA110. Exclusions: EC205/BU205, EC255/BU255, EC285, MA141, MA240, MA241, PS296, ST230, prior credit for ST260, current enrollment in ST260. This course may not count for credit in Honours Mathematics, Financial Mathematics or Data Science programs.

ST 231

Stats for Life & Health Sci

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This course covers all basic statistical concepts, and includes relevant examples for life and health science students. The course introduces descriptive and inferential statistics; basic probability theory; discrete and continuous random variables with focus on binomial and normal random variables; statistical inference for population means and population proportions, both for one and two populations, with focus on confidence intervals and tests of hypotheses. Furthermore, simple and multiple linear regression methods are covered as well as one-way and two-way ANOVA. Problems are analyzed with the aid of appropriate software. Prerequisites: One of: MA100, MA101, MA102, MA103, MA110. Exclusions: EC205/BU205, EC255/BU255, EC285, MA141, MA240, MA241, PS296, ST230, prior credit for ST260, current enrollment in ST260. This course may not count for credit in Honours Mathematics, Financial Mathematics or Data Science programs.

This course covers all basic statistical concepts, and includes relevant examples for life and health science students. The course introduces descriptive and inferential statistics; basic probability theory; discrete and continuous random variables with focus on binomial and normal random variables; statistical inference for population means and population proportions, both for one and two populations, with focus on confidence intervals and tests of hypotheses. Furthermore, simple and multiple linear regression methods are covered as well as one-way and two-way ANOVA. Problems are analyzed with the aid of appropriate software. Prerequisites: One of: MA100, MA101, MA102, MA103, MA110. Exclusions: EC205/BU205, EC255/BU255, EC285, MA141, MA240, MA241, PS296, ST230, prior credit for ST260, current enrollment in ST260. This course may not count for credit in Honours Mathematics, Financial Mathematics or Data Science programs.

0%Liked

Easy

0%

Useful

0%

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This course covers all basic statistical concepts, and includes relevant examples for life and health science students. The course introduces descriptive and inferential statistics; basic probability theory; discrete and continuous random variables with focus on binomial and normal random variables; statistical inference for population means and population proportions, both for one and two populations, with focus on confidence intervals and tests of hypotheses. Furthermore, simple and multiple linear regression methods are covered as well as one-way and two-way ANOVA. Problems are analyzed with the aid of appropriate software. Prerequisites: One of: MA100, MA101, MA102, MA103, MA110. Exclusions: EC205/BU205, EC255/BU255, EC285, MA141, MA240, MA241, PS296, ST230, prior credit for ST260, current enrollment in ST260. This course may not count for credit in Honours Mathematics, Financial Mathematics or Data Science programs.

Course Schedule

CRN	Type	Section	Campus	Enrolled	Time	Date	Location	Instructor
483	Lecture	C	Waterloo	42/80	2:30 PM - 3:50 PM	M T W Th F S Su
729	Lab	L2	Waterloo	22/40	11:30 AM - 12:50 PM	M T W Th F S Su
484	Lab	L1	Waterloo	20/40	10:00 AM - 11:20 AM	M T W Th F S Su

CRN	Type	Section	Campus	Enrolled	Time	Date	Location	Instructor
1413	Lab	L1	Waterloo	0/48	8:30 AM - 9:50 AM	M T W Th F S Su
1415	Lab	L3	Waterloo	0/48	11:30 AM - 12:50 PM	M T W Th F S Su
1566	Lab	L6	Waterloo	0/48	8:30 AM - 9:50 AM	M T W Th F S Su
2299	Lab	L9	Waterloo	1/48	1:00 PM - 2:20 PM	M T W Th F S Su
1564	Lecture	A	Waterloo	0/240	8:30 AM - 9:50 AM	M T W Th F S Su
1412	Lecture	B	Waterloo	2/240	11:30 AM - 12:50 PM	M T W Th F S Su
2300	Lab	L10	Waterloo	0/48	2:30 PM - 3:50 PM	M T W Th F S Su
1414	Lab	L2	Waterloo	1/48	10:00 AM - 11:20 AM	M T W Th F S Su
1461	Lab	L4	Waterloo	0/48	1:00 PM - 2:20 PM	M T W Th F S Su
1565	Lab	L5	Waterloo	0/48	2:30 PM - 3:50 PM	M T W Th F S Su

CRN	Type	Section	Campus	Enrolled	Time	Date	Location	Instructor
420	Lecture	C	Waterloo	0/120	2:30 PM - 3:50 PM	M T W Th F S Su
1042	Lab	L3	Waterloo	0/40		M T W Th F S Su
421	Lab	L1	Waterloo	0/40		M T W Th F S Su
638	Lab	L2	Waterloo	0/40		M T W Th F S Su

ST 231 Prerequisites

MA 100 (Min. Grade D-) or MA 101 (Min. Grade D-) or MA 102 (Min. Grade D-) or MA 103 (Min. Grade D-) or MA 110 (Min. Grade D-)

ST 231 Leads To

BI 326, BU 223, BU 225, BI 308, CH 454, DATA 200, ST 362, ST 474, ST 344, ST 361, HE 300, KP 434

ST 231 Restrictions

Must be enrolled in one of the following Levels:

Undergraduate (UG)

Must be enrolled in one of the following Majors:

Biochemistry and Biotechnology (BCBT)

Biology (BIOL)

Chemistry (CHEM)

Health Sciences (HESC)

Science (SCIE)

Water Science & Enviro Health (WSEH)

Cannot be enrolled in one of the following Year Levels:

Year 1 (1)

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