Statistical Inference notes
21 notes by 19 users
This Statistical Inference notes page on GoConqr gathers user-made notes on sampling, estimation and hypothesis testing. It is for university students and professional candidates practising these topics, and teachers looking for material to share. There are over 10 notes, mostly at university level. Pick a note that matches what you are working on.
Notes
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Advanced Statistics Research Design and Statistics Each IV can be one of two types of design: Repeated measures / within subjects Independent measures/ between subjects Type I and type II errors Type I error Finding a significant ...
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Biostats Final Cheat Sheet ∩ means intersection: the set composed of all elements that belong to both A and B word form: "and" ∪ means union: the set of all elements that are in A or B or both word form: "or" Probability axioms: &nbs...
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Statistics Chapter 6
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Idk man TIV, DV, confounding variablesA confounding variable = something that might affect your findings in unwanted ways - must be kept constant so it doesn'tDataCan be quantitative or qualitativeCan be nominal, ordinal inte...
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Week 8: cross tabulation Common tabulation: compares 2 variables. need to choose which variables and why. Hypothesis: H0 = null hypothesis ie. no relationship between the two variables H1 = Alternate hypothesis ie. there is...
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Module 5 Notes The normal approximation to the binomial can be very accurate if n is relatively large and p is close to 0.5. The condition with respect to p is reasonable because the binomial distribution is symmetric for p = 0.5, s...
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Unit 5 Overview Readings Chapter 10, and section 12.1 in The Practice of Statistics Topics 19, 20, 21, 22, and 23 in Workshop Statistics Topics 13 and 14 in Barron’s AP Statistics Homework The Practice of Statistics: 10.2, 3, 5, 10, ...
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Normal Curve and Statistical Inference +1 SD = 68% of the data +2 SD = 95% of data +3 SD = 99.7% * It is possible to have your data at 4 or 5 SD, but it's a tiny amount Common for many values and metrics for "normal" or healthy people Standard Scores allow...
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Inferential Statistics Population – a complete group or set of items that have similar characteristics. Sampling Error is the fluctuation of the value of a statistic from one sample to another drawn from the same population. Researche...
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Unit 6 Overview Readings Sections 11.2 and 12.2 in The Practice of Statistics Topics 24 and 25 in Workshop Statistics Topic 14 in Barron’s AP Statistics Homework The Practice of Statistics: sections 11.2 and 12.2 (as needed) Workshop...
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CHAPTER 4: Statistical Inference - created from Mind Map Hypothesis Hypothesis Testing One-sample hypothesis tests
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Chapter 8 Two uses Inferential Statistics-  ...
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Week 9 metric data is cumulative T test: one sample: group v a hypothetical mean OR price v competitors price OR comparing two groups from the same sample eg. a before and after result. ANOVA more t...
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Greg Martin Statistics Overview https://www.youtube.com/watch?v=I10q6fjPxJ0&t=437s Variables can be Categorical summarize in table or bar chart Numeric distribution- range, interquartile range, mean median box plot histogram H1 i...
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Things I Need to Learn Saturday 7 What does degrees of freedom mean Null Hypothesis Sufficient Evidence - Null Hypothesis - Two sided alternative hypothesis Significance Level Confidence Level and Upper Bound Sunday 8 F-test Pooled Variance...
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12. Sampling and Hypothesis Testing - created from Mind Map H0 is the Null hypothesis or default claim eg earth is round H1 is Hypothesis and is what is not currently proven and rejects H0 Testing
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Untitled The act of learning from data which we all aim to do with the implementation of statistics is referred to as Inference. We want to make inference on some particular problem and the way we do that is by actively learni...
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Sampling Distributions
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Untitled Standardized Test Statistic for Difference in Mean
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Interval Estimation - created from Mind Map Basic Advanced mean (known variance)
More Statistical Inference resources
About statistical inference notes
GoConqr OriginalUsing statistical inference notes
These notes cover several approaches to inference. Inferential Statistics introduces populations and sampling error, while Statistics Chapter 6 looks at using sample statistics to estimate a population parameter. Module 5 Notes discusses the normal approximation to the binomial.
For a starting point, try Inferential Statistics if you want to revisit the language of populations and samples. If estimation is your focus, start with Statistics Chapter 6 instead.
Make notes work for revision
Read a section, then put its main idea into your own words before checking the original. For a different topic, Week 8: cross tabulation compares variables and introduces null and alternative hypotheses. Advanced Statistics covers research design and errors.
When you want to check your recall rather than read further, switch to a quiz on the unit page. You can also use a mind map to revisit how ideas connect. Choose a topic and start reading.
Frequently asked questions
Which note should I start with?
Inferential Statistics is a useful starting point for revisiting populations and sampling error. If you are working on estimation, Statistics Chapter 6 covers using sample statistics to estimate an unknown population parameter. Module 5 Notes is another option if you are studying the normal approximation to the binomial.
Are these notes free to use?
Yes. Every note listed here is free to open and study, without an account. The resources were made by GoConqr users. A free account can save quiz scores and lets you make your own quizzes, mind maps, flashcards and notes.
Who are these notes for?
The collection is mostly at university level. University students and professional candidates can use the notes to practise topics such as sampling and hypothesis testing. Teachers can also look for material to share. Unit 5 Overview mentions AP Statistics among its reading references.