---
title: "Optional Tutorial Revision Guide"  
author:   
  - Siqi Zheng  
institute:   
  - Department of Statistical Science   
  - University of Toronto
date: Academic year 2020-2021  
output:   
  beamer_presentation:
    theme: "Boadilla"
    keep_tex: yes
header-includes:
  - \usepackage{multicol}
  - \AtBeginSubsection{}   
---

## Topics for Today

- Review Plan 
- Topic-based
- Tips

# Q & A Session


## Course Materials?

- Assignments
- Project Procedure
- ...

# How to Set up a Review Plan

## Leaning Objectives

1. Describe how statistical methods
can be used to learn from data,
including methods for
description, explanation, and
prediction.

2. Carry out a variety of statistical
analyses in R and interpret the
results of the analyses.

3. Implement the computational
steps involved in the
management and statistical
analysis of data using R.

## Continue...

4. Identify appropriate uses of
statistical methods to answer
questions, including their
strengths and weaknesses.

5. Clearly communicate the results
of statistical analyses to technical
and non-technical audiences.

## Before having a plan

- Goal

- Focus

- Specific

- Evaluate

- Reward

## Concept (1)

- Definition?

- Importance? Application? (4)

- Common misconception?

## Data Wrangling (3)

- Relevant definition in technical terms and plain English? (5)

- Importance? 

- The goal of data cleaning?

- __How do I do it in R?__ 

- __Can I interpret the results in R?__

## Visualization (2)

- What are the graphs?

- How do I produce the graphs in R?

- __What are the functions and what does the argument in the function mean?__

- __How do I interpret the graphs?__

## Statistical Method (1) (3)

- Definition in technical terms and plain English? (5)

- Importance? (4)

- Application in real life? (4)

- __How do I do it in R?__ Can I connect the method to the visualization?

- Common misconception?

- __Can I interpret the results in R?__ (5)

- Limitations? (4)

## Tips

- Start early

- Ask questions

## Nominate a TA?

https://tatp.utoronto.ca/awards/ta-awards/student-nomination/