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# Class Notes for Statistics at University of California - Berkeley

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##### STAT 20 Lecture Notes - Lecture 46: Simple Random Sample, Confidence Interval, Continuity Correction 24HRPremium

Chapter 19: population=> parameter sample=> statistic statistic =parameter chance error+bias Kinds of bias= selection, non-response bias, response bias Kinds of samples probability methods 1. Simple random sample (no selec...

Statistics
STAT 20
Fletcher Ibser
##### STAT 20 Lecture Notes - Lecture 45: Null Hypothesis 24HRPremium

Chapter 29 More on Hypothesis Tests Suppose 100 people guess at random while the null hypothesis is true, do you expect an of them to get a p<5 ? Yes, five of them. This fallacy is called multiple testing. It is a built in...

Statistics
STAT 20
Fletcher Ibser
##### STAT 20 Lecture Notes - Lecture 44: Mexican Peso 24HRPremium

Chapter 28 Chi Squared test Used in two situations: 1) Counting of times each category occurs, at least 3 categories 2) Testing for independence between two (usually qualitative) varieables Difference for X squared test: ...

Statistics
STAT 20
Fletcher Ibser
##### STAT 20 Lecture Notes - Lecture 43: Botulinum Toxin, Chapter 27, Treatment And Control Groups 24HRPremium

Chapter 27 SE difference= can be used for the difference between two random quantities from 1. Two independent samples ( with or without replacement) 2. Two samples form the same population (t...

Statistics
STAT 20
Fletcher Ibser
##### STAT 20 Lecture Notes - Lecture 42: Null Hypothesis, Statistical Hypothesis Testing 24HRPremium

Updates on class: HW 11 is due tomorrow Quiz on Wednesday based on Chapter 26 and R simulation code similar to that of the HW We will have makeup classes for the classes that were cancelled due to the fires on RRR week Mon...

Statistics
STAT 20
Fletcher Ibser

Statistics
STAT 20
Fletcher Ibser
##### STAT 20 Lecture 33: Stats 20 11-7-18 24HRPremium

Hypothesis Test 1) Null hypothesis 2) Alternative hypothesis 3) Test statistic 4) P-value 5) Conclusion Guidelines for conclusion P > 5% a. Cannot reject the null hypothesis b. This looks ...

Statistics
STAT 20
Fletcher Ibser
##### STAT 20 Lecture Notes - Lecture 32: Null Hypothesis, Alternative Hypothesis, Jargon 24HRPremium

Chapter 26 Hypothesis Testing Card guessing (A, K, Q, J, 10) of spades Guess which will come up next. Outline for hypothesis 1) Null hypothesis a. Chance statement like results are due to chance b. Something p...

Statistics
STAT 20
Fletcher Ibser
##### STAT 20 Lecture Notes - Lecture 31: Homoscedasticity, Scatter Plot, Root Mean Square 24HRPremium

Chapter 11 Accuracy of Regression Rms error is the rms of prediction errors, volunteer prediction method is used. For example, if method is to always guess the everage, rms error =SDy For regression, rms error= Football sh...

Statistics
STAT 20
Fletcher Ibser
##### STAT 20 Lecture Notes - Lecture 30: Fallacy 24HRPremium

End of Chapter 10 Regression Fallacy is the mistaken belief that there must be some other explanation for the phenomenon of the regression effect An example of this is chapter 11 Revue 9 Rookie of the year baseball. The ro...

Statistics
STAT 20
Fletcher Ibser
##### STAT 20 Lecture Notes - Lecture 29: Shoe Size, Percentile Rank 24HRPremium

Chapter 10 Regression X variable r Predicted tan length in SD for someone one SD above ...

Statistics
STAT 20
Fletcher Ibser
##### STAT 20 Lecture 28: stats 20 10-24-18 24HRPremium

Chapter 9 More on correlation, scatter plots. Different kinds of scatter plots. 1) Others are points that are fat away from most of the data. Outliers need to be considered as long as they are feasible. 2...

Statistics
STAT 20
Fletcher Ibser
##### STAT 20 Lecture Notes - Lecture 27: Space Shuttle Challenger Disaster, Scatter Plot 24HRPremium

The challenger explosion could have been avoided if data visualization was used effectively. This idea is one of the reasons we focus on data visualization. It is a very effective way to show people evidence. Not many writ...

Statistics
STAT 20
Fletcher Ibser
##### STAT 20 Lecture 26: stats 20 10-19-18 Regression Basics 24HRPremium

Chapter 8 Correlation, Scatter Plots Coreelation measures the strength of linear association between two variables. Intuitively how close points are to a line Corellation is always between -1 and 1. If R=+- 1, points are o...

Statistics
STAT 20
Fletcher Ibser
##### STAT 20 Lecture Notes - Lecture 25: Statistical Hypothesis Testing 24HRPremium

Before we get started, things to note: The syllabus has been revised The project will have 3-5 people and will be based on data analysis It is being pushed back a little We will learn hypothesis testing and that is what ou...

Statistics
STAT 20
Fletcher Ibser
##### Statistics - Reference Guides

This Guide provides an easy to follow summary of all basic principles that are the foundation to Statistics and Probabilities. Using a combination of charts and sample equations, the key concepts are developed and the esse...

Econometrics
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