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All Educational Materials for STATS 13 at University of California - Los Angeles (UCLA)

UCLASTATS 13Tsiang, MikeFall

STATS 13 Study Guide - Fall 2019, Comprehensive Final Exam Notes - Null Hypothesis, Standard Deviation, Dependent And Independent Variables

98 Page
30 Nov 2019
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UCLASTATS 13SchoenbergFall

[STATS 13] - Final Exam Guide - Ultimate 41 pages long Study Guide!

41 Page
29 Nov 2016
Observation units: individual entities on which data are recorded. Variables: recorded characteristics of the observational units. Distribution of vari
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UCLASTATS 13AllFall

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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UCLASTATS 13AllSpring

STATS 13 Study Guide - Quiz Guide: Standard Score, Central Limit Theorem, Continuity Correction

11 Page
24 Sep 2014
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UCLASTATS 13SchoenbergFall

STATS 13 Study Guide - Final Guide: Publication Bias, Standard Deviation, Type I And Type Ii Errors

2 Page
9 Dec 2016
Publication bias: researcher publishes findings that support their ideas but not ones that do not support their ideas. This makes the publication more
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UCLASTATS 13AllFall

STATS 13 Midterm: STATS13 Midterm 2011 Spring

10 Page
15 Oct 2018
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UCLASTATS 13Tsiang, MikeSpring

STATS 13 Study Guide - Midterm Guide: Statistical Inference, Statistic, Sampling Distribution

9 Page
17 Jun 2019
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UCLASTATS 13SchoenbergFall

STATS 13 Study Guide - Midterm Guide: Null Hypothesis, Central Limit Theorem, Simple Random Sample

3 Page
11 Nov 2016
Standard deviation: average distance between a data value and the mean. Statistic or random variable: numerical description of the sample. Parameter: p
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UCLASTATS 13AllFall

STATS 13 Study Guide - Midterm Guide: Binomial Distribution, Technometrics, Univariate

16 Page
15 Oct 2018
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UCLASTATS 13AllSpring

Exam1

1 Page
8 Apr 2019
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UCLASTATS 13AllSpring

Exam1

1 Page
8 Apr 2019
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UCLASTATS 13AllFall

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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UCLASTATS 13AllFall

STATS 13 Midterm: STATS13 Midterm 2011 Spring

10 Page
15 Oct 2018
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UCLASTATS 13AllFall

STATS 13 Study Guide - Midterm Guide: Binomial Distribution, Technometrics, Univariate

16 Page
15 Oct 2018
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UCLASTATS 13AllFall

STATS 13 Study Guide - Final Guide: Statistical Significance, Heteroscedasticity, Simple Random Sample

2 Page
15 Oct 2018
Final exam practice fall 2017: suppose a researcher is trying to predict how long americans live (y) based on their adult height (x). She takes a simpl
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UCLASTATS 13AllFall

STATS 13 Study Guide - Midterm Guide: Confidence Interval, Null Hypothesis, Central Limit Theorem

3 Page
15 Oct 2018
Se = (1. 52/100 + 2. 22/80) = . 288 mmol/l: how much does one ucla student"s blood glucose level typically differ from the mean of. 1. 5 mmol/l: consid
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UCLASTATS 13AllFall

STATS 13 Study Guide - Final Guide: Null Hypothesis, Scatter Plot, List Of Dragon Ball Characters

34 Page
15 Oct 2018
Ucla stat 13 statistical methods final exam review. Chapter 7 sampling distributions of estimates: a random sample of size n is drawn from a population
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UCLASTATS 13AllFall

STATS 13 Midterm: STATS13 Midterm Review Solutions

7 Page
15 Oct 2018
Ucla stat 13 statistical methods - midterm review solutions. Chapter 1 what is statistics? (4) (3) (i) the treatment being compared is: (ii) study 1: a
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UCLASpring

Exam 2

1 Page
8 Apr 2019
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UCLAFall

Statistics 10 Form B Exam

3 Page
31 Jan 2019
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UCLASTATS 13Tsiang, MikeSpring

STATS 13 Lecture Notes - Lecture 1: Ann Perkins, Sampling Distribution, Null Hypothesis

7 Page
17 Jun 2019
Sd of sample dist f pop standard deviation. N n l m on average sample mean pop mean. It in coutid changes confid n will go down so cout stays same bit
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UCLASTATS 13SchoenbergFall

STATS 13 Lecture Notes - Lecture 1: Null Hypothesis, Standard Error, Alternative Hypothesis

1 Page
23 Sep 2016
Observation units: individual entities on which data are recorded. Variables: recorded characteristics of the observational units. Distribution of vari
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UCLASTATS 13SchoenbergFall

STATS 13 Lecture 2: Stats 13 W1Discussion

3 Page
5 Oct 2016
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UCLASTATS 13SchoenbergFall

STATS 13 Lecture 3: Stats 13 W2Discussion

2 Page
5 Oct 2016
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UCLASTATS 13Tsiang, MikeSpring

STATS 13 Lecture Notes - Lecture 19: Hope College, Box Plot, Interquartile Range

3 Page
17 Jun 2019
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UCLASTATS 13Tsiang, MikeSpring

STATS 13 Lecture Notes - Lecture 7: Central Limit Theorem, Null Hypothesis, Standard Deviation

2 Page
17 Jun 2019
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UCLASTATS 13Tsiang, MikeSpring

STATS 13 Lecture Notes - Lecture 12: Central Limit Theorem, Interval Estimation, Standard Deviation

2 Page
17 Jun 2019
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UCLASTATS 13Tsiang, MikeSpring

STATS 13 Lecture Notes - Lecture 9: Simple Random Sample, Statistical Parameter, Statistic

2 Page
17 Jun 2019
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UCLASTATS 13Tsiang, MikeSpring

STATS 13 Lecture Notes - Lecture 4: Null Hypothesis, Statistical Hypothesis Testing

1 Page
17 Jun 2019
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UCLASTATS 13Tsiang, MikeSpring

STATS 13 Lecture Notes - Lecture 23: Scatter Plot, Dependent And Independent Variables

4 Page
17 Jun 2019
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UCLASTATS 13SchoenbergFall

STATS 13 Chapter Notes - Chapter 9: Type I And Type Ii Errors, Null Hypothesis, Dependent And Independent Variables

2 Page
23 Nov 2016
Section 9. 1: simulation based approach for comparing more than two groups with a quantitative response. If we conduct two-sample comparisons between g
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UCLASTATS 13SchoenbergFall

STATS 13 Chapter Notes - Chapter 10: Total Variation, Dependent And Independent Variables, Null Hypothesis

2 Page
20 Nov 2016
Section 10. 1: summarizing the relationship between two quantitative variables using the. Scatterplot: shows the two values for each observational unit
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UCLASTATS 13SchoenbergFall

STATS 13 Chapter 5: Assigned Reading Ch 5

3 Page
19 Oct 2016
Small p-value indicates strong evidence against the null hypothesis. Conclude difference we observed between groups is not due to random assignment pro
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UCLASTATS 13SchoenbergFall

STATS 13 Chapter Notes - Chapter 3.1-3.3: Confidence Interval, Standard Error

2 Page
8 Oct 2016
Estimation: tells how large the effect is by giving us an interval of values. Confidence interval: interval of plausible values for the size of the eff
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UCLASTATS 13SchoenbergFall

STATS 13 Chapter Notes - Chapter 4: Blind Experiment, Near-Sightedness, Observational Study

2 Page
13 Oct 2016
Ex. smokers have higher rates of lung cancer. Cannot prove that lung cancer is caused by smoking. Variable that is related to both the explanatory and
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UCLASTATS 13SchoenbergFall

STATS 13 Chapter Notes - Chapter 1.1-1.3: Null Hypothesis, Alternative Hypothesis, Coin Flipping

3 Page
23 Sep 2016
Xi: the value of the ith observation for a variable of interest. Statistical significance: indicates strength of the evidence. Four main types of concl
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UCLASTATS 13SchoenbergFall

STATS 13 Chapter 7: Assigned Reading Ch 7

2 Page
27 Oct 2016
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UCLASTATS 13SchoenbergFall

STATS 13 Chapter 6: Assigned Reading Ch 6

2 Page
22 Oct 2016
Lower quartile (25th percentile): the value for which 25% of the data lie below that value. Upper quartile (75th percentile): the value for which 25% o
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UCLASTATS 13SchoenbergFall

STATS 13 Chapter Notes - Chapter 2: Null Hypothesis, Standard Error, Simple Random Sample

3 Page
2 Oct 2016
Census: collecting data on the entire population. Statistic: proportion or number calculated about a sample. Parameter: the proportion (numerical summa
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UCLASTATS 13SchoenbergFall

STATS 13 Chapter Notes - Chapter 1.4-1.5: Standard Deviation, Central Limit Theorem, Null Hypothesis

1 Page
24 Sep 2016
Small p-values and large standardized scores (in absolute value) show strong evidence against the null hypothesis. >0. 5: two-sided test: more extreme
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UCLASTATS 13SchoenbergFall

[STATS 13] - Final Exam Guide - Ultimate 41 pages long Study Guide!

41 Page
29 Nov 2016
Observation units: individual entities on which data are recorded. Variables: recorded characteristics of the observational units. Distribution of vari
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UCLASTATS 13AllFall

STATS 13 Midterm: STATS13 Midterm Review Solutions

7 Page
15 Oct 2018
Ucla stat 13 statistical methods - midterm review solutions. Chapter 1 what is statistics? (4) (3) (i) the treatment being compared is: (ii) study 1: a
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UCLASTATS 13AllFall

STATS 13 Midterm: STATS 13 - Term Test 1

61 Page
17 Sep 2018
Introduction to statistical methods for life and health sciences. Chapter 3. 3: 2sd and theory-based confidence intervals for a single mean. Chapter 3.
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UCLASTATS 13SchoenbergFall

STATS 13 Study Guide - Midterm Guide: Null Hypothesis, Central Limit Theorem, Simple Random Sample

3 Page
11 Nov 2016
Standard deviation: average distance between a data value and the mean. Statistic or random variable: numerical description of the sample. Parameter: p
View Document
UCLASTATS 13AllFall

STATS 13 Study Guide - Final Guide: Null Hypothesis, Scatter Plot, List Of Dragon Ball Characters

34 Page
15 Oct 2018
Ucla stat 13 statistical methods final exam review. Chapter 7 sampling distributions of estimates: a random sample of size n is drawn from a population
View Document
UCLASTATS 13AllFall

STATS 13 Midterm: STATS13 Midterm 2011 Spring

10 Page
15 Oct 2018
View Document
UCLASTATS 13AllFall

STATS 13 Study Guide - Final Guide: Statistical Significance, Heteroscedasticity, Simple Random Sample

2 Page
15 Oct 2018
Final exam practice fall 2017: suppose a researcher is trying to predict how long americans live (y) based on their adult height (x). She takes a simpl
View Document
UCLASTATS 13AllFall

STATS 13 Study Guide - Midterm Guide: Binomial Distribution, Technometrics, Univariate

16 Page
15 Oct 2018
View Document
UCLASTATS 13AllFall

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
UCLASTATS 13AllSpring

STATS 13 Study Guide - Quiz Guide: Standard Score, Central Limit Theorem, Continuity Correction

11 Page
24 Sep 2014
View Document

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UCLASTATS 13Tsiang, MikeFall

STATS 13 Study Guide - Fall 2019, Comprehensive Final Exam Notes - Null Hypothesis, Standard Deviation, Dependent And Independent Variables

98 Page
30 Nov 2019
View Document
UCLASTATS 13Tsiang, MikeSummer

STATS 13 Chapter Notes - Chapter Sumary 1-6, 10: Bar Chart, Unimodality, Scatter Plot

6 Page
15 Sep 2019
If a- = th t n sangh population. F- (cid:8869) nueuselhe t - distribution instead of null because it has thicker tails t the degrees of freedom oflhltd
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UCLASTATS 13Tsiang, MikeFall

STATS 13 Chapter Notes - Chapter 1-6, 10: Statistical Inference, Statistic, Sampling Distribution

27 Page
15 Sep 2019
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UCLASTATS 13Tsiang, MikeSpring

STATS 13 Lecture Notes - Lecture 27: Null Hypothesis, Homoscedasticity, Test Statistic

5 Page
17 Jun 2019
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UCLASTATS 13Tsiang, MikeSpring

STATS 13 Lecture Notes - Lecture 28: Chi-Squared Distribution, Null Hypothesis, Randomized Experiment

3 Page
17 Jun 2019
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UCLASTATS 13Tsiang, MikeSpring

STATS 13 Lecture Notes - Lecture 22: Null Hypothesis, Random Assignment, Dependent And Independent Variables

4 Page
17 Jun 2019
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UCLASTATS 13Tsiang, MikeSpring

STATS 13 Lecture Notes - Lecture 26: Scatter Plot, Collet, Null Hypothesis

3 Page
17 Jun 2019
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UCLASTATS 13Tsiang, MikeSpring

STATS 13 Lecture Notes - Lecture 19: Hope College, Box Plot, Interquartile Range

3 Page
17 Jun 2019
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UCLASTATS 13Tsiang, MikeSpring

STATS 13 Lecture Notes - Lecture 21: Repeated Measures Design, Random Assignment, Statistical Power

4 Page
17 Jun 2019
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UCLASTATS 13Tsiang, MikeSpring

STATS 13 Lecture Notes - Lecture 20: Null Hypothesis, Blind Experiment, Dependent And Independent Variables

3 Page
17 Jun 2019
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