BROCK UNIVERSITY 
STAT 1P99: Applied Statistics for Life Sciences 
* Comprehensive Revision Guide and Notes 2024 
 
- Part A: Topic Summary and Exam Tips 
- Part B: Exam Practice Questions and Answers 
- Part C: Sample Examination 
- Part D: Suggested Solutions to Exam Paper 
 
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Brock University - STAT 1P99: Applied Statistics for Life Sciences

C$35.00

ACADEMIC YEAR 2023 - 2024

University	Brock University
Study Level	Undergraduate
Course Code	STAT 1P99
Course Name	Applied Statistics for Life Sciences
Notes Title	Comprehensive Revision Guide and Notes
Format	PDF
Page Length	59

* This concise guide, designed for STAT 1P99: Applied Statistics for Life Sciences at Brock University, is your essential companion throughout the academic term. It comprehensively covers all critical theories with clear explanations and practical examples to aid your understanding. The included sample exams with solutions provide invaluable practice to simulate real test conditions, ensuring you’re thoroughly prepared for every assessment and examination. Benefit from accessible notes, expert examiner advice, and detailed Q&A on each key examinable topic to achieve your best academic performance.

STAT 1P99 focuses on the visualization and interpretation of life science data using tools like histograms, frequency tables, and statistical measures. The course covers probability basics, the use of binomial, Poisson, and normal distributions, as well as confidence intervals, hypothesis testing, and ANOVA. Throughout the course, students will apply these concepts using Microsoft Excel. A prerequisite is one grade 12 Mathematics course or MATH 1P20. This course replaces credit for STAT 1F92, STAT 1P98, and MATH 1P99, and concurrent enrolment in these courses is not allowed.

Key Areas of Focus:

Interpret life science data using histograms, frequency tables, and other visual tools.
Understand and calculate correlation and regression in data analysis.
Apply basic probability concepts to real-life scenarios.
Use binomial, Poisson, and normal distributions in data analysis.
Calculate and interpret confidence intervals for proportions and means.
Conduct hypothesis testing for statistical significance.
Analyze data using contingency tables.
Perform basic analysis of variance (ANOVA).

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ACTG 2P12	Introduction to Management Accounting
ACTG 2P31	Accounting for External Reporting I
ACTG 2P40	Commercial Law
ACTG 3P33	Accounting for External Reporting III
ECON 1P91	Principles of Microeconomics
ECON 1P92	Principles of Macroeconomics
ECON 2P21	Intermediate Microeconomics I
ECON 2P90	Introduction to Econometrics
ECON 3P03	Money and Banking I
ECON 3P92	Forecasting Using Time Series Data
FNCE 2P91	Corporate Finance I
FNCE 3P93	Corporate Finance II
FNCE 4P04	Investment Analysis and Portfolio Management
FNCE 4P08	Management of Financial Institutions
FNCE 4P09	Portfolio Management
FNCE 4P16	Derivatives I
MGMT 1P93	Principles of Business
MKTG 2P91	Introduction to Marketing
STAT 1F92	Introductory Statistics
STAT 1P99	Applied Statistics for Life Sciences

Brock University - STAT 1P99: Applied Statistics for Life Sciences

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