# 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

61 Page

20 Nov 2018

## [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

View Document## 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

View Document## [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

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

61 Page

12 Oct 2018

## [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

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

3 Page

24 Sep 2014

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Frequently-seen exam questions from 2014 - 2018.

## 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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## 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(

View Document## 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## 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## 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## 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

View Document## 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,

View Document## 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

View Document## 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

View Document## 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

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

2 Page

5 Dec 2017

## 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## 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

View Document## 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

View Document## 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

View Document## 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

View Document## 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

View Document## 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

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

5 Page

25 Mar 2017

## 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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## 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## 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## 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## 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

View Document## [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

View Document## 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## [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

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

44 Page

1 Dec 2016

## Most Recent

The latest uploaded documents.

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

3 Page

14 Dec 2019

## STATS 10 Lecture Notes - Lecture 16: Venn Diagram, Mutual Exclusivity, Sample Space

3 Page

14 Dec 2019

## STATS 10 Lecture Notes - Lecture 11: That (Music), Null Hypothesis, Sampling Distribution

3 Page

14 Dec 2019

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

3 Page

14 Dec 2019

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

3 Page

14 Dec 2019

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

3 Page

14 Dec 2019