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

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

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

Mealear Khiev62 Page

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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## 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

View Document## [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

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

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## [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

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

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Frequently-seen exam questions from 2014 - 2018.

## 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

View Document## 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(

View Document## 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

View Document## 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

View Document## 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

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

Mealear Khiev9 Page

10

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

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

Shruthi Selvan3 Page

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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,

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

Shruthi Selvan4 Page

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

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

Shruthi Selvan5 Page

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

View Document## 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

View Document## 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-

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

Shruthi Selvan11 Page

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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

View Document## 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

View Document## STATS 10 Chapter 7: Chapter 7_ Survey Sampling and Inference

Shruthi Selvan15 Page

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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

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

Shruthi Selvan12 Page

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Chapter 6: modeling random events - the normal & Probability model : a description of how a statistician thinks data are produced. Probability distribu

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

Shruthi Selvan13 Page

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

View Document## 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

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

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

OC15786563 Page

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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

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

Shruthi Selvan18 Page

0

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

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

Mealear Khiev62 Page

1

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

OC100107418 Page

37

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

OC16503857 Page

0

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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## Statistics 10 Form B Midterm 2

OC25402944 Page

0

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

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

OC116573561 Page

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

OC116573561 Page

0

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

Shruthi Selvan15 Page

0

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

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

Shruthi Selvan16 Page

0

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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