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STAT1008 (58)

Class Notes for STAT1008 at Australian National University

Quantitative Research Methods

STAT1008 Lecture Notes - Lecture 11: Null Hypothesis, Statistical Hypothesis Testing, Desipramine
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Lecture 11 Hypothesis testing 1. State hypotheses 2. Collect data 3. Calculate statistics 4. Simulate statistics that could be observed, just by random chance, if the null hypothesis were true (cre...

Statistics
STAT1008
Bronwyn
STAT1008 Lecture Notes - Lecture 15: Central Limit Theorem, Standard Deviation, Statistic
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Lecture 15, 16, 17 Central limit theorem: big population size normal distribution Distribution of a sample proportion A normal distribution can be used to approximate the distribution of proportion as long as np >= 10 ...

Statistics
STAT1008
Bronwyn
STAT1008 Lecture Notes - Lecture 13: Confidence Interval, Statistic
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Lecture 13 and 14 Example: mosquito likelihood to approach humans after being infected with malaria virus during first 8 days (before become infectious) and during infectious period PC: proportion of mosquitoes in the co...

Statistics
STAT1008
Bronwyn
STAT1008 Lecture Notes - Lecture 12: Null Hypothesis, Statistic, Resveratrol
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Lecture 12 Statistical significance When results as extreme as the observed sample statistic are unlikely to occur by random chance alone (assuming the null hypothesis is true), we say the sample resu...

Statistics
STAT1008
Bronwyn
STAT1008 Lecture Notes - Lecture 10: Null Hypothesis, Statistical Hypothesis Testing, Normal Distribution
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Lecture 10 Standard Normal distribution 1. Locate percentage on table 2. Use it to find z score 3. Solve for statistic x Hypothesis testing Setting up a statistical test: Hypothesis are always about population parameters, ...

Statistics
STAT1008
Bronwyn
STAT1008 Lecture Notes - Lecture 9: Random Variable, Standard Deviation, Binomial Distribution
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Lecture 9- probability Random variables and probability functions A random variable is a numeric quantity that changes from trial to trial in a random process A random variable is discrete if it has a finite set of possibl...

Statistics
STAT1008
Bronwyn
STAT1008 Lecture Notes - Lecture 5: Sampling Distribution, Quartile
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Lecture 5 Parameter- describes some aspect of a population e.g. age of student attending ANU (fixed but unknown) Statistic- number that is computed from data in a sample e.g. estimated age of students attending ANU based o...

Statistics
STAT1008
Bronwyn
STAT1008 Lecture Notes - Lecture 3: Standard Deviation, Interquartile Range
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Lecture 3 Standard deviation- measure of spread Approximately 95 of data lies within two standard deviations of the mean From a graph: 1. Approximate average 2. Look where 95 of data is 3. Calculate difference between 95 o...

Statistics
STAT1008
Bronwyn
STAT1008 Lecture 7: Lecture 7 – probability
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Lecture 7 probability Event Something that either does or does not happen Let: H: select a heart P(H)= 1352= 0.25 Equations summary: Note: Disjoint event Mutually exclusive

Statistics
STAT1008
Bronwyn
STAT1008 Lecture Notes - Lecture 6: Confidence Interval, Statistical Parameter, Statistic
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Lecture 6 Interval estimate: Gives a range of plausible values for a population parameter Margin of error: precision of the sample statistic as a point estimate for the parameter describes the range that the answer is like...

Statistics
STAT1008
Bronwyn
STAT1008 Lecture Notes - Lecture 2: Confounding, Dependent And Independent Variables
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Lecture 2 Avoiding sample bias: Increase sample size Need to think critically about data collection Experiments and observational studies Two variables are associated if values of one variable tend to be related to values ...

Statistics
STAT1008
Bronwyn
STAT1008 Lecture Notes - Lecture 1: Yogurt, Sampling Bias, Statistical Inference
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Lecture 1 Structure of Data 1. Cases and variables Case makes up row, variable makes up column Explanatory and response variables e.g. can eating yoghurt (explanatory) cause you to lose weight (response)? 2. Variables can ...

Statistics
STAT1008
Bronwyn
STAT1008 Lecture 12: Hypothesis Testing Summary

2 1 a M m a e m a l M p s e V r a l s a o n e a o s P n a n t r e e e o p e d s n o d s t e H n n o t H p o k H s , C c : 1= 2 o = w n : = c u t 2 2 h > n w t f m e: 1 2 s < n e , t r e s s s e < S e ft . S m m T e c . . ...

Statistics
STAT1008
Bronwyn
STAT1008 Lecture Notes - Lecture 35: Dependent And Independent Variables, Tachykinin Receptor 1, Standard Deviation

STAT1008 Week 12 Lecture B Ttest for individual predictors Y = Beta 0 beta x1 1beta x 2 2 + beta x +k ksilon H 0 bi= 0 H a bidoesnt = 0 T = biSE where b ii from the pvalue from t nk1nd SE and T is given in output Exam 1 ha...

Statistics
STAT1008
Abhinav Mehta
STAT1008 Lecture Notes - Lecture 31: Observational Error, Scatter Plot, Confidence Interval

STAT1008 Week 11 Lecture A Slope and Intercept The estimated regression line is: y = a + bx Slope: increase in predicted y for every unit increase in (b) Intercept: predicted y value when x = 0 (a) Interpreting slope and i...

Statistics
STAT1008
Abhinav Mehta
Statistics - Reference Guides

This Guide provides an easy to follow summary of all basic principles that are the foundation to Statistics and Probabilities. Using a combination of charts and sample equations, the key concepts are developed and the esse...

Econometrics
ETC2430
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