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## Chapter 4 Numerical Data and Chapter 5 Probability

by: Samantha Kessler

17

6

2

# Chapter 4 Numerical Data and Chapter 5 Probability Stat 152

Marketplace > Truckee Meadows Community College > Math > Stat 152 > Chapter 4 Numerical Data and Chapter 5 Probability
Samantha Kessler

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## About this Document

These notes cover Linear Regression, Correlation Coefficient and Coefficient of Determination. As well as probability notes and formulas.
COURSE
Introduction to Statistics
PROF.
Anne Flesher
TYPE
Class Notes
PAGES
2
WORDS
CONCEPTS
Introduction, Statistics, intro to statistics
KARMA
Free

## Popular in Math

This 2 page Class Notes was uploaded by Samantha Kessler on Saturday October 15, 2016. The Class Notes belongs to Stat 152 at Truckee Meadows Community College taught by Anne Flesher in Fall 2016. Since its upload, it has received 17 views. For similar materials see Introduction to Statistics in Math at Truckee Meadows Community College.

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Date Created: 10/15/16
Chapter 4 and 5 notes  ­The least line of linear regression is the line that minimizes the sum of squared  deviations.  (can find this by putting in to your calculator)  y=a+bx  b= the slope, which is the amount that y increases when x decreases by 1 unit. a= the intercept, which is the height of the line about x=0  Calculating slop and interpreting slope­­­­> a good line= data points close to the line *deviations will be small in size  *above the line deviations are positive  *below the line data points are negative  Coefficient of determinations (r^2)= the amount of variability in y that can be a  characteristic to an approximate linear relationship between x and y.   Correlation Coefficient(r) = measures strength and direction of a linear relationship  between two number values.    [By using the linear regression function in calculator it will find all the stated above  points] Probability is denoted as P(outcome) or P(E), where E= event  1­P(outcome)= the complement of outcome  Law of Large Numbers: As the number of observations increases the amount of time  that an outcome occurs, it gets close to the probability of the outcome.  * Chance Experiment: the process of making observations when the outcome is  uncertain about two or more possible outcomes.  * Sample Space: collection of all the possible outcomes of a chance experiment.  P(E)=( # of outcomes favorable to E)/(# of outcomes in a sample space)  Finding the complement: P(Ec)= 1­P(E)  where P(Ec) is the probability that E will not  occur.

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