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All Educational Materials for STATS 10 at University of California - Los Angeles (UCLA)

UCLASTATS 10Michael TsiangWinter

STATS 10 Study Guide - Comprehensive Final Exam Guide - Standard Deviation, Unimodality, Old Testament

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UCLASTATS 10Linda ZanontianFall

[STATS 10] - Final Exam Guide - Ultimate 62 pages long Study Guide!

Modeling random events: the normal and binomial models. A probability model is a description of how a statistician thinks data are produced. A probabil
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UCLASTATS 10Linda ZanontianSpring

STATS 10 Study Guide - Comprehensive Final Exam Guide -

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UCLASTATS 10Linda ZanontianFall

STATS 10 Study Guide - Comprehensive Final Guide: Standard Deviation, Scatter Plot, Treatment And Control Groups

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The methodology of collecting, analyzing and drawing conclusions from data. Making effective use of the data around us to make decisions about ourselve
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UCLASTATS 10Miles ChenWinter

[STATS 10] - Final Exam Guide - Comprehensive Notes fot the exam (107 pages long!)

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Descriptive statistics (covered in midterm 1: summarize data using a few values/pictures. Probability: tells us how likely/unlikely something is. Sampl
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UCLASTATS 10Linda ZanontianSpring

STATS 10 Study Guide - Spring 2018, Comprehensive Midterm Notes -

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UCLASTATS 10Michael TsiangWinter

STATS 10 Study Guide - Winter 2018, Comprehensive Midterm Notes - Standard Deviation, Unimodality, Old Testament

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UCLASTATS 10Linda ZanontianFall

[STATS 10] - Midterm Exam Guide - Ultimate 18 pages long Study Guide!

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The methodology of collecting, analyzing and drawing conclusions from data. Making effective use of the data around us to make decisions about ourselve
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UCLASTATS 10AllFall

STATS 10 Study Guide - Midterm Guide: Unimodality, Scatter Plot, Bar Chart

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UCLASTATS 10AllFall

Statistics 10 Form B Exam

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UCLASTATS 10AllFall

Statistics 10 Form B Exam

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UCLASTATS 10AllFall

Statistics 10 Form B Midterm 2

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Exam coverage: chapter 13, chapter 14, chapter 16. 1 and 16. 4, chapter 17 and you should be very comfortable with chapter 5. Bring a calculator, id, f
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UCLASTATS 10AllFall

Statistics 10 Form C Exam

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UCLASTATS 10AllFall

Statistics 10 Form B Midterm 2 2

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UCLASTATS 100CAllSpring

Exam 2

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UCLASTATS 13AllSpring

Exam1

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UCLASTATS 13AllFall

STATS 13 Study Guide - Final Guide: Confidence Interval, Cheddar Cheese, Analysis Of Variance

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E(m + n) = e(m) + e(n) = 31 + 35. 5 = 66. 5 minutes sd(m + n) = E(m n) = e(m) e(n) = 31 35. 5 = 4. 5 minutes sd(m n) = Normal ( = 4. 5, = 4. 60977) pr(
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UCLASTATS 100AAllFall

STATS 100A Midterm: STAT100A Exam 2

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UCLASTATS 100AAllFall

STATS 100A Midterm: STAT100B Midterm Solution

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UCLASTATS 13AllFall

STATS 13 Midterm: STATS13 Midterm 2011 Spring

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UCLASTATS 10Zanontian, L.A.Fall

STATS 10 Lecture Notes - Lecture 4: Streptomycin, Random Assignment

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Question 1: summarize the results of hill"s study. a. ) Justify your answer: we can see that 51 out of 55 in the treatment group received the streptomy
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UCLASTATS 10Zanontian, L.A.Fall

STATS 10 Lecture Notes - Lecture 3: Histogram, European Route E20

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We"ll assume this is the probability that bryant makes a basket: 43% of kobe"s baskets = successful. Question 3a : for the simulations in this lab, ass
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UCLASTATS 10Zanontian, L.A.Fall

STATS 10 Lecture Notes - Lecture 5: Birth Weight, Histogram, Standard Deviation

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Question 1 : using visual and numerical summaries, describe the differences between the distributions of weights for babies born to smokers vs. non-smo
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UCLASTATS 10TsiangFall

STATS 10 Lecture Notes - Lecture 1: Bar Chart, Gestation, Birth Weight

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UCLASTATS 10Linda ZanontianFall

STATS 10 Lecture Notes - Lecture 9: Probability Distribution, Normal Distribution, Random Variable

Modeling random events: the normal and binomial models. A probability model is a description of how a statistician thinks data are produced. A probabil
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UCLASTATS 10TsiangFall

STATS 10 Lecture Notes - Lecture 4: Scientific Control, Streptomycin, Standard Deviation

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UCLASTATS 10Zanontian, L.A.Spring

STATS 10 Lecture Notes - Lecture 2: Pareto Chart, Bar Chart, Categorical Variable

How do we visualize data? by making a picture. Organizing the data in the form of a chart / graph / plot can be an effective way of looking at trends,
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UCLASTATS 10Zanontian, L.A.Spring

STATS 10 Lecture Notes - Lecture 1: Statistical Parameter, Confounding, Random Assignment

Oh : monday & wednesday @ 2-3pm in ms 8967. Introductory statistics: exploring the world through data (2nd ed. Course reader: stats 10 lab manual () Gr
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UCLASTATS 10Zanontian, L.A.Spring

STATS 10 Lecture Notes - Lecture 5: Dependent And Independent Variables, Scatter Plot, Linear Regression

Scatterplots : the best way to picture the relationship and associations between 2 quantitative variables. Can see patterns, trends, relationships, and
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UCLASTATS 10Linda ZanontianFall

STATS 10 Lecture Notes - Lecture 15: Null Hypothesis, Confidence Interval, Alternative Hypothesis

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Earlier we calculated a 95% confidence interval for the true population proportion of ucla students who traveled outside the us. A 95% confidence inter
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UCLASTATS 10Cha, MFall

STATS 10 Chapter Notes - Chapter 4: Batter Up, Scatter Plot, Dependent And Independent Variables

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I have attached the graph for at_bats and runs below: In addition, the points do not form a u or and inverted u shape. therefore we can see that a non-
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UCLASTATS 10Zanontian, L.A.Spring

STATS 10 Chapter Notes - Chapter 8: Null Hypothesis, Longrun, Confidence Interval

Recall : earlier, we calculated a 95% confidence interval for the true population proportion. A 95% confidence interval of 26% to 44% means that: of uc
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UCLASTATS 10Miles ChenWinter

STATS 10 Chapter Notes - Chapter 4: Dependent And Independent Variables, Scatter Plot

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Chapter 4 regression analysis: exploring associations between variables. Regression used to analyze associations/relationships between two numerical va
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UCLASTATS 10Zanontian, L.A.Spring

STATS 10 Chapter 7: Chapter 7_ Survey Sampling and Inference

Population : the group of people or objects we wish to study. Sample : a collection of people or objects taken from the population. Parameter : a numer
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UCLASTATS 10Zanontian, L.A.Spring

STATS 10 Chapter Notes - Chapter 6: Random Variable, Unimodality, Standard Deviation

Chapter 6: modeling random events - the normal & Probability model : a description of how a statistician thinks data are produced. Probability distribu
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UCLASTATS 10Zanontian, L.A.Spring

STATS 10 Chapter Notes - Chapter 9: Confidence Interval, Test Statistic, Null Hypothesis

In chapter 7, we learned to estimate population parameters by collecting a random sample from that population. We used the collected data to calculate
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UCLASTATS 10Miles ChenWinter

STATS 10 Chapter Notes - Chapter 3: Quartile, Standard Deviation, Interquartile Range

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Chapter 3 numerical summaries of center and variation. A number that measures how far away the typical observation is from the mean. A measurement conv
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UCLASTATS 10Vivian LewSpring

STATS 10 Chapter Notes -F 17 Kallinge, Indep, Alder

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UCLASTATS 10Miles ChenWinter

STATS 10 Chapter Notes - Chapter 2: Pie Chart, Unimodality, Frequency (Statistics)

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UCLASTATS 10Chen MilesSpring

STATS 10 Chapter 5: Chapter 5

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With probability, we try to express how likely or unlikely an event is. We use probability to describe the chance of an uncertain event. The probabilit
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UCLASTATS 10Zanontian, L.A.Fall

STATS 10 Lecture Notes - Lecture 4: Streptomycin, Random Assignment

OC15786563 Page
0
Question 1: summarize the results of hill"s study. a. ) Justify your answer: we can see that 51 out of 55 in the treatment group received the streptomy
View Document
UCLASTATS 10Zanontian, L.A.Fall

STATS 10 Lecture Notes - Lecture 3: Histogram, European Route E20

OC15786565 Page
0
We"ll assume this is the probability that bryant makes a basket: 43% of kobe"s baskets = successful. Question 3a : for the simulations in this lab, ass
View Document
UCLASTATS 10Zanontian, L.A.Fall

STATS 10 Lecture Notes - Lecture 5: Birth Weight, Histogram, Standard Deviation

OC15786563 Page
0
Question 1 : using visual and numerical summaries, describe the differences between the distributions of weights for babies born to smokers vs. non-smo
View Document
UCLASTATS 10Zanontian, L.A.Spring

STATS 10 Study Guide - Midterm Guide: Bar Chart, Pareto Chart, Random Number Table

Data : collections of numbers, measurements, or any type of observation that someone records ( the building blocks of statistics ) Examples of data col
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UCLASTATS 10Linda ZanontianFall

[STATS 10] - Final Exam Guide - Ultimate 62 pages long Study Guide!

Modeling random events: the normal and binomial models. A probability model is a description of how a statistician thinks data are produced. A probabil
View Document
UCLASTATS 10Linda ZanontianFall

STATS 10 Study Guide - Comprehensive Final Guide: Standard Deviation, Scatter Plot, Treatment And Control Groups

OC100107444 Page
6
The methodology of collecting, analyzing and drawing conclusions from data. Making effective use of the data around us to make decisions about ourselve
View Document
UCLASTATS 10Linda ZanontianFall

[STATS 10] - Midterm Exam Guide - Ultimate 18 pages long Study Guide!

OC100107418 Page
37
The methodology of collecting, analyzing and drawing conclusions from data. Making effective use of the data around us to make decisions about ourselve
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UCLASTATS 10Zanontian, L.A.Spring

STATS 10 Midterm: Midterm Cheat Sheet

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UCLASTATS 10Linda ZanontianSpring

STATS 10 Study Guide - Spring 2018, Comprehensive Midterm Notes -

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UCLASTATS 10Cha, MFall

STATS 10 Chapter Notes - Chapter 4: Batter Up, Scatter Plot, Dependent And Independent Variables

OC16503857 Page
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I have attached the graph for at_bats and runs below: In addition, the points do not form a u or and inverted u shape. therefore we can see that a non-
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UCLASTATS 10AllFall

Statistics 10 Form C Exam

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Exam coverage: chapter 13, chapter 14, chapter 16. 1 and 16. 4, chapter 17 and you should be very comfortable with chapter 5. Bring a calculator, id, f
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UCLASTATS 10Michael TsiangWinter

STATS 10 Study Guide - Comprehensive Final Exam Guide - Standard Deviation, Unimodality, Old Testament

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UCLASTATS 10Linda ZanontianSpring

STATS 10 Study Guide - Spring 2018, Comprehensive Midterm Notes -

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UCLASTATS 10Michael TsiangWinter

STATS 10 Study Guide - Winter 2018, Comprehensive Midterm Notes - Standard Deviation, Unimodality, Old Testament

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UCLASTATS 10Zanontian, L.A.Spring

STATS 10 Chapter 7: Chapter 7_ Survey Sampling and Inference

Population : the group of people or objects we wish to study. Sample : a collection of people or objects taken from the population. Parameter : a numer
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UCLASTATS 10Zanontian, L.A.Spring

STATS 10 Study Guide - Final Guide: With Confidence, Random Assignment, Probability Distribution

Standard deviation : described by the square root of the variance (represents the typical distance of a value from the mean) (x - x ) means to take eac
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