MONASH UNIVERSITY 
STA1010: Statistical methods for science 
* Final Examination Guide and Notes 2024 
 
- Part 01. Topic Summary and Exam Tips 
- Part 02. Practice Exam Questions and Answers 
- Part 03. Sample Final Examination Paper 
- Part 04. Suggested Solutions to Final Exam Paper 
 
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Monash Uni - Statistical Methods For Science (STA1010) - Solutions

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ACADEMIC YEAR 2023 - 2024

University	Monash University
Study Level	Undergraduate
Unit Code	STA1010
Unit Name	Statistical methods for science
Notes Title	Final Examination Guide and Notes
Format	PDF
Page Length	60

* This STA1010: Statistical methods for science - Final Examination Guide and Notes 2024, at Monash University is invaluable to teach yourself the unit from the first day of class until your last review before the final exam. This self-study set has been thoroughly updated to cover all the topics contained in the latest edition of the exam. The guide contains sample exam questions completed with a detailed answer guide to help you identify priority topics to review as you prepare for the exam. It also offers vital information on exam format, what will be on the exam and key concepts you should be focusing your studies on.

- This unit, Statistical methods for science (STA1010) at Monash University introduces you to fundamental quantitative theory and tools to support business intelligence and data analysis needs of modern organisations. Main topics to be covered include descriptive statistics, scatter plots, correlation, line of best fit, elementary probability theory, confidence intervals and hypothesis tests using normal, t and binomial distributions.

✔ Learning Outcomes:

understand the key steps of the scientific method and how it can be applied to real problems that involve data analysis and interpretation;
appreciate how statistical data is collected, analysed and stored;
understand the meaning of population parameters such as mean, standard deviation, and median;
understand the importance of statistical techniques in the analysis of data;
present and interpret data graphically;
determine confidence intervals for population parameters, and distinguish between a population parameter and a sample statistic;
determine the appropriate statistical technique for a given context;
perform simple statistical operations using Excel;
AND - take a random sample from a population and determine whether data fits a statistical hypothesis.

UNIT CODE	UNIT NAME
ACF1100	Introduction to financial accounting
ACF2100	Financial accounting
ACF2200	Introduction to management accounting
ACF3100	Advanced financial accounting
BFC3140	Corporate finance 2
BFF1001	Foundations of finance
BFF2140	Corporate finance 1
BFF2401	Commercial banking and finance
BFF3121	Investments and portfolio management
BFF3751	Derivatives 1
BTF1010	Business law
BTF3931	Taxation law
ECC2000	Intermediate microeconomics
ECF1100	Microeconomics
ECF1200	Macroeconomics
ETC1000	Business and economic statistics
ETF1100	Business statistics
ETF2100	Introductory econometrics
ETF3200	Applied econometrics
MGF1010	Introduction to management
MKF1120	Marketing theory and practice
STA1010	Statistical methods for science

Monash Uni - Statistical Methods For Science (STA1010) - Solutions

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