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

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

98 Page

30 Nov 2019

## [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

View Document## 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 13 Study Guide - Quiz Guide: Standard Score, Central Limit Theorem, Continuity Correction

11 Page

24 Sep 2014

## 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

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

9 Page

17 Jun 2019

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

16 Page

15 Oct 2018

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

16 Page

15 Oct 2018

## 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## 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

View Document## 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## 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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## 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

View Document## 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

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

3 Page

17 Jun 2019

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

2 Page

17 Jun 2019

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

2 Page

17 Jun 2019

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

2 Page

17 Jun 2019

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

1 Page

17 Jun 2019

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

4 Page

17 Jun 2019

## 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

View Document## 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

View Document## 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

View Document## 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

View Document## 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

View Document## 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

View Document## 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

View Document## 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

View Document## 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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## [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

View Document## 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

View Document## 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.

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

16 Page

15 Oct 2018

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

11 Page

24 Sep 2014

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

98 Page

30 Nov 2019

## 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

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

27 Page

15 Sep 2019

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

5 Page

17 Jun 2019

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

3 Page

17 Jun 2019

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

4 Page

17 Jun 2019

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

3 Page

17 Jun 2019

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

3 Page

17 Jun 2019

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

4 Page

17 Jun 2019

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

3 Page

17 Jun 2019