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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

61 Page
20 Nov 2018
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UCLASTATS 10Linda ZanontianSpring

STATS 10 Study Guide - Comprehensive Final Exam Guide -

54 Page
20 Nov 2018
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UCLASTATS 10Linda ZanontianFall

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

62 Page
29 Nov 2016
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 ZanontianFall

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

44 Page
1 Dec 2016
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!)

107 Page
29 Mar 2017
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 -

54 Page
12 Oct 2018
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UCLASTATS 10Michael TsiangWinter

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

61 Page
12 Oct 2018
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UCLASTATS 10Linda ZanontianFall

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

18 Page
5 Oct 2016
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

3 Page
24 Sep 2014
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UCLASTATS 10AllFall

Statistics 10 Form B Exam

3 Page
31 Jan 2019
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UCLASTATS 10AllFall

Statistics 10 Form B Exam

3 Page
31 Jan 2019
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UCLASTATS 10AllFall

Statistics 10 Form C Exam

3 Page
31 Jan 2019
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UCLASTATS 10AllFall

Statistics 10 Form B Midterm 2

4 Page
31 Jan 2019
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 B Midterm 2 2

6 Page
31 Jan 2019
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UCLASpring

Exam1

1 Page
8 Apr 2019
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UCLASpring

Exam 2

1 Page
8 Apr 2019
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UCLAFall

STATS 100A Midterm: STAT100B Midterm Solution

2 Page
15 Oct 2018
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UCLAFall

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

10 Page
15 Oct 2018
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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UCLAFall

STATS 100A Midterm: STAT100A Exam 2

1 Page
15 Oct 2018
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UCLAFall

STATS 13 Midterm: STATS13 Midterm 2011 Spring

10 Page
15 Oct 2018
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UCLASTATS 10Zanontian, L.A.Fall

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

3 Page
18 Mar 2017
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

5 Page
18 Mar 2017
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

3 Page
18 Mar 2017
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

6 Page
5 Dec 2017
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UCLASTATS 10Linda ZanontianFall

STATS 10 Lecture Notes - Lecture 4: Quartile, Backstroke, Missy Franklin

5 Page
3 Oct 2016
Ch. 3: numerical summaries of center and variation pt. Helps us understand how the standard deviation measures variability. Ex: if a distribution is un
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UCLASTATS 10Zanontian, L.A.Spring

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

3 Page
29 Apr 2018
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 10Linda ZanontianFall

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

9 Page
26 Oct 2016
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 10Zanontian, L.A.Spring

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

4 Page
29 Apr 2018
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 10Linda ZanontianFall

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

8 Page
14 Nov 2016
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 10TsiangFall

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

2 Page
5 Dec 2017
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UCLASTATS 10Cha, MFall

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

7 Page
29 Oct 2017
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

11 Page
2 Aug 2018
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 10Zanontian, L.A.Spring

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

13 Page
2 Aug 2018
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 10Zanontian, L.A.Spring

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

15 Page
2 Aug 2018
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 10Miles ChenWinter

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

4 Page
25 Mar 2017
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 Notes - Chapter 6: Random Variable, Unimodality, Standard Deviation

12 Page
2 Aug 2018
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 10Miles ChenWinter

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

5 Page
25 Mar 2017
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

2 Page
27 Jun 2014
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UCLASTATS 10Miles ChenWinter

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

5 Page
25 Mar 2017
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UCLASTATS 10Chen MilesSpring

STATS 10 Chapter 5: Chapter 5

1 Page
2 Jun 2017
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.Spring

STATS 10 Midterm: Midterm Cheat Sheet

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2 Aug 2018
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UCLASTATS 10Zanontian, L.A.Fall

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

3 Page
18 Mar 2017
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

5 Page
18 Mar 2017
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

3 Page
18 Mar 2017
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

18 Page
29 Apr 2018
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!

62 Page
29 Nov 2016
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 10Cha, MFall

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

7 Page
29 Oct 2017
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-
View Document
UCLASTATS 10Linda ZanontianFall

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

18 Page
5 Oct 2016
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 10Linda ZanontianSpring

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

54 Page
12 Oct 2018
View Document
UCLASTATS 10Linda ZanontianFall

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

44 Page
1 Dec 2016
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 10Maria ChaFall

STATS 10 Lecture Notes - Lecture 14: Kolmogorov Space, Fot, Unimodality

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UCLASTATS 10Maria ChaFall

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UCLASTATS 10Maria ChaFall

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UCLASTATS 10Maria ChaFall

STATS 10 Lecture Notes - Lecture 13: Wieden, Box Plot, Italian General Confederation Of Labour

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UCLASTATS 10Maria ChaFall

STATS 10 Lecture Notes - Lecture 12: Quartile, Fairy, Mull

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UCLASTATS 10Maria ChaFall

STATS 10 Lecture Notes - Lecture 17: Statistical Inference, Confidence Interval

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UCLASTATS 10Maria ChaFall

STATS 10 Lecture Notes - Lecture 9: Glossary Of Ancient Roman Religion, Interval Estimation, Nxp Semiconductors

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UCLASTATS 10Maria ChaFall

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