LabList.Rmd

---
title: "List of Labs"
author: "Emilio A. Laca"
date: "9/11/2018"
output: html_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

# Chapter 01: Intro to stats

# Chapter 02: R
## R computation and Summary Statistics
## Introduction to R and RStudio 
## Create a dataframe and table  
## Summary Statistics  
## Frequency Table and Histogram 
## Box-and-Whisker Plot and 5-Number Summary 
## Analyses by Groups 


# Chapter 03: Math symbols


# Chapter 04: Data Exploration and summary statistics
## Part 1. Data input [10 points] 
## Part 2. Coefficient of variation [15 points] 
## Part 3. Five number summary table of iris data [15 points] 
## Part 4. Frequency table and histogram [15 points] 
## Part 5. Box and whisker plot [15 points] 
## Part 6. fivenum() function [10 points] 
## Part 7. Making a vector [10 points] 
## Part 8. Knitting [10 points] 


# Chapter 05: Probability


# Chapter 06: Distributions, sampling and estimators

# Chapter 07: Distributions and Confidence Intervals
## Part 1. Normal Distribution R functions [10 points]
## Part 2. Normal PDF [10  points]
## Part 3. Students's t Distribution [20 points]
## Part 4. Effect of sample size on CI width [20 points]
## Part 5. Interpretation of the CI [10 points]
## Part 6. Test of null hypothesis [20 points]	
## Part 7. Knit report [10 points]

# Chapter 08: Two populations
## Part 1. Equality of variances [25 points]
## Part 2. Difference between means with independent samples [30 points]
## Part 3. Difference between means with paired samples [30 points]
## Part 4: Paired or independent? [15 points] 
### A. Aphids on soybeans 
### B. Compost for broccoli 
### C. Habanero chili 
### D. Fish oil and triglycerides 
### E. Botanical composition after restoration 

# Chapter 09: ANOVA in Completely Randomized Design
## Part 1. Inspection and summary of data [25 points] 
## Part 2. Partition of Sum of Squares and Degrees of Freedom [30 points] 
## Part 3. ANOVA using R functions.[20 points] 
## Part 4. Confidence intervals for treatment means [25 points] 

# Chapter 10: Experimental Design


# Chapter 11: ANOVA in Block Designs
## Part 1. Read in, inspect and summarize data [15 points] 
## Part 2. Analyze data ignoring the blocking design [25 points] 
## Part 3. RCBD Sum of Squares and Degrees of Freedom [35 points] 
## Part 4. ANOVA for RCBD using R functions.[25 points] 

# Chapter 12: Treatment Structures and Comparisons 
## Part 1. Factorial ANOVA using R functions [45 points] 
### 1a. Random assignment of treatments to plots [15 points] 
### 1.b Add columns with factor levels to the data [15 points] 
### 1.c Perform a test of the Ho that all treatment means are equal [15 points] 
## Part 2. Factorial ANOVA detailed calculations [30 points] 
## Part 3. Multiple comparison of means using Fisher's PLSD [25 points] 

# Chapter 13: Linear Regression
## Part 1. Plot of data and estimation of parameters. [25 points] 
## Part 2. Test of null hypothesis and R-square. [30 points] 
## Part 3. Make a 95% confidence interval for the RGR or slope. [25 points] 
## Part 4. Make a 95% confidence interval for mean plant size at a given age. [20 points] 

# Chapter 14: Contingency tables and Goodness of fit
## Part 1. Create contingency table 
## Part 2. Expected Frequencies 
## Part 3. Calculate $\\chi^{2}$ 
## Part 4. Results