# Textbook Notes for Omar Rivasplata

- 22 Results
- About U OF A

## STAT151 Chapter Notes - Chapter 5: Standard Deviation, Frequency Distribution, Normal Distribution

78

To standardize a value, we subtract the mean and then divide this difference by the standard deviation. The values are called standardized values, and

View Document## STAT151 Chapter Notes - Chapter 1: The Who, Categorical Variable, Unita

46

Statistics is at play whenever there is data and a need for understanding something. To provide and solidify what the context is, you can organize the

View Document## STAT151 Chapter Notes - Chapter 11: Dependent And Independent Variables, Blind Experiment

29

Researchers simply observe (e. g. did not assign students to music educaion, but simply observe them) Retrospecive study: examines the past (e. g. iden

View Document## STAT151 Chapter Notes - Chapter 8: Confounding, Linear Regression, Subset

30

It is a good idea to look at both a histogram of the residuals and a scaterplot of the residuals vs. the predicted values. All the data must come from

View Document## STAT151 Chapter Notes - Chapter 7: Wella, Scatter Plot, Lincoln Near-Earth Asteroid Research

71

7. 1: least squares: the line of best fit . The correlation says, the linear association between these two variables is fairly strong, but it doesn"t t

View Document## STAT151 Chapter Notes - Chapter 6: Confounding, Scatter Plot, Dependent And Independent Variables

41

When we plot one quantitative variable versus another quantitative variable, the resultant graph is called a. This is the best graph to observe the rel

View Document## STAT151 Chapter Notes - Chapter 10: The Who, Simple Random Sample, Stratified Sampling

38

An enire group of individuals. (but this can be impracical to examine all of them) Smaller groups of individuals selected from the populaion [a small s

View Document## STAT151 Chapter Notes - Chapter 16: Confidence Interval

26

Interval of numbers within which parameter is likely to fall. 95% confident that parameter falls within this interval = 95% of data falls within 1. 96

View Document## STAT151 Chapter Notes - Chapter 5: Standard Deviation, Unimodality

28

Chapter 5- the standard deviaion as a ruler and the normal model. Use the standard deviaion to judge how unusual a value is by how far it is from the m

View Document## STAT151 Chapter Notes - Chapter 6: Scatter Plot, Dependent And Independent Variables, Confounding

26

## STAT 151 Chapter 1: What Is Statistics???

16

A way of reasoning designed to understand the informaion that has been gathered (the data) on a certain subject of interest. Helps to understand and mo

View Document