# Class Notes for Statistics at Carleton University

CARLETONSTAT 2507allFall

## STAT2507 lecture1-5 notes

OC8354526 Page
66
View Document
CARLETONSTAT 2507Keith O’ RourkeFall

## STAT 2507 Lecture Notes - Lecture 6: Cumulative Distribution Function, Victorian Railways T Class, Minitab

OC5041498 Page
71
Stat 2507 chapter 5: several useful discrete distributions. Discrete random variables take on only a finite or countable infinite # of values. 3 discre
View Document
CARLETONSTAT 2507Fares SaidFall

## STAT 2507 Lecture 4: STAT 2507 LECT. 4

OC11508118 Page
15
View Document
CARLETONSTAT 2507Keith O’ RourkeFall

## STAT 2507 Lecture Notes - Lecture 2: Univariate, Statistical Unit, Unimodality

OC5041496 Page
42
Stat 2507 chapter 1 lecture: describing data with graphs. Variable: characteristic that changes or varies over time &/or for diff individuals or object
View Document
CARLETONSTAT 2606Gang LiFall

## STAT 2606 Lecture Notes - Lecture 7: Standard Deviation, Quartile, Summary Statistics

OC62973349 Page
25
View Document
CARLETONSTAT 2507Zahra MontazeriFall

## STAT 2507 Lecture Notes - Lecture 2: Box Plot

OC3340023 Page
34
Tchebycheff"s theorem: choose any k (in this example its 2 or 3) it means that 3/4 or 8/9 of your measuremeants are between mean - 2s and mean + 2s exa
View Document
CARLETONSTAT 2507Zahra MontazeriFall

## STAT 2507 Lecture Notes - Lecture 9: Truetype, Test Statistic, Statistical Hypothesis Testing

OC3340027 Page
35
View Document
CARLETONSTAT 2606Gang LiFall

## STAT 2606 Lecture Notes - Lecture 1: Standard Deviation, Size 14, Frequency Distribution

OC62973346 Page
43
Summarizing data and drawing inferences about the larger population from which it was drawn. Procedures used to summarize and describe the set of measu
View Document
CARLETONSTAT 2507Zahra MontazeriWinter

## STAT 2507 Lecture Notes - Lecture 8: Sample Space

OC11483164 Page
1
View Document
CARLETONSTAT 2507Zahra MontazeriFall

## STAT 2507 Lecture Notes - Lecture 4: Mutual Exclusivity, Venn Diagram, Sample Space

OC2936996 Page
21
P (a) = lim n relative frequency = lim n frequency n. Frequency is the number of times that event a occurred. n is number of times that experiment repe
View Document
CARLETONSTAT 2606Gang LiFall

## STAT 2606 Lecture Notes - Lecture 2: Quartile, Frequency (Statistics), Percentile

OC62973350 Page
23
View Document
CARLETONSTAT 2606Gang LiFall

## STAT 2606 Lecture Notes - Lecture 9: Mutual Exclusivity, Sample Space, Venn Diagram

OC62973346 Page
36
View Document
Showing 1 — 12 of 123 result

Class Notes (1,000,000)
CA (600,000)
Carleton (20,000)
STAT (100)