# Class Notes for Richard Waterman

- 19 Results
- About UPENN

## STAT 101 Lecture Notes - Lecture 23: Mean Squared Error

32

Stat 101 - introduction to business statistics - lecture 23: line of fit. Mathematically leverage the equation: derivatives and optimizations. The best

View Document## STAT 101 Lecture Notes - Lecture 12: Central Limit Theorem, Random Variable, Standard Deviation

33

Stat 101 - introduction to business statistics - lecture 12: the normal distribution. The shape of the distribution (bell curve) It is characterized by

View Document## STAT 101 Lecture Notes - Lecture 19: Null Hypothesis, Test Statistic, Sample Size Determination

44

Stat 101 - introduction to business statistics - lecture 19: hypothesis testing (continued) Set up the appropriate null and alternative hypothesis. Com

View Document## STAT 101 Lecture Notes - Lecture 7: Sample Space, Set Notation, Data Center

45

Stat 101 - introduction to business statistics - lecture 7: intro to probability. Set-up: there is an event about which, we"d like to make a probabilit

View Document## STAT 101 Lecture 22: AB Testing

33

Stat 101 - introduction to business statistics - lecture 22: a/b testing. Making decisions based on what you know, not just a hunch. It has been around

View Document## STAT 101 Lecture Notes - Lecture 17: Confidence Interval, Sample Size Determination, Sampling Distribution

19

Stat 101 - introduction to business statistics - lecture 17: confidence interval for. The reason why the t is different from a z is that the s in the d

View Document## STAT 101 Lecture Notes - Lecture 14: Sampling Frame, Simple Random Sample, Standard Deviation

23

Stat 101 - introduction to business statistics - lecture 14: sampling. You can"t survey an entire population, and so you can survey a sample represenat

View Document## STAT 101 Lecture Notes - Lecture 15: Hospital-Acquired Infection, Standard Deviation, Decision Rule

24

Stat 101 - introduction to business statistics - lecture 15: quality control. To understand quality control chart, you must master: central limit theor

View Document## STAT 101 Lecture Notes - Lecture 9: Contingency Table

32

Stat 101 - introduction to business statistics - lecture 9: bayes theorem. You want to find the probability of cancer given a positive screening test.

View Document## STAT 101 Lecture Notes - Lecture 10: Random Variable, Squared Deviations From The Mean, S&P 500 Index

43

Stat 101 - introduction to business statistics - lecture 10: random variables & A random variable is a variable whose value is not known with certainty

View Document## STAT 101 Lecture Notes - Lecture 24: Market Saturation, Diminishing Returns

26

Stat 101 - introduction to business statistics - lecture 24: regression. Define r 2 as (r) 2 , that is the sample correlation squared. It is sometimes

View Document