Common Statistical Tests (t-tests, Chi-Square, Non-parametric)
162 resources created by 122 users
This Common Statistical Tests page on GoConqr gathers community-made quizzes, mind maps, flashcards, flowcharts and notes, from t-tests and chi-square to Mann-Whitney, Wilcoxon and Kruskal Wallis. It's built for university students and professional candidates, school students, and teachers after ready-made material, all practising how to choose and apply the right test. There are over 150 resources here, including more than 20 quizzes, more than 40 mind maps and over 70 flashcard decks. Try a quiz to find your gaps, then make your own revision sets.
Top Common Statistical Tests (t-tests, Chi-Square, Non-parametric) resources
-
123 questionsBiostatistics exam 2 study guide Which of the following is an example of a nonparametric test?
-
10 questionsResearch Methods IV - Week 10 Factorial ANOVA III Assuming the data meets the assumptions of parametric tests, non-parametric tests compared to their paramet...
-
Mind map What analysis test should be used? A flowchart of all the statistical tests I have learned during year 1 of my Psychology degree. -
15 cards12. comparing several independent means total sum of squares
-
Flowchart Data Analysis Flowchart
-
75 questionsEDS "Used to determine the dependence of a dependent variable on a predictor/independent variable". What test i...
-
123 questionsBiostatistics exam 2 Practice Question Which of the following is an example of a nonparametric test?
-
102 cardsLecture 5
Quizzes
See all 30 quizzes-
123 questionsBiostatistics exam 2 study guide Which of the following is an example of a nonparametric test?
-
10 questionsResearch Methods IV - Week 10 Factorial ANOVA III Assuming the data meets the assumptions of parametric tests, non-parametric tests compared to their paramet...
-
75 questionsEDS "Used to determine the dependence of a dependent variable on a predictor/independent variable". What test i...
-
123 questionsBiostatistics exam 2 Practice Question Which of the following is an example of a nonparametric test?
-
27 questionsPS 395 Practice Exam Questions The results of a one-way repeated-measures ANOVA with four levels revealed a significance value for Mauchly...
-
66 questionsQuiz 3 module 3 Generally we need about 4 times as much variaKon between groups as within groups to conclude differences ex...
-
41 questionsCh 12 review Which of these tests is the most powerful?
-
50 questionsStatistic Final Practice
Mind maps
See all 45 mind mapsFlashcards
See all 73 flashcards-
15 cards12. comparing several independent means total sum of squares
-
102 cardsLecture 5
-
55 cardsGeneral MCQ Statistics 2 what is an unpaired design?
-
20 cardsUnit 14 - Chi Square Inference Test A local restaurant claims that it gets 45 percent of its customers from Monday through Thursday, 20 percent...
-
24 cardsCategorical data calculations How can categorical data be presented for analysis?
-
30 cardsPSY1205_Choosing a test What is STATISTICAL INFERENCE?
-
21 cardsNon-parametric tests What are assumptions?
-
20 cardsCh. 11 Chi-Square Tests and Strategies When Population Distributions Are Not Normal
Flowcharts
Notes
-
Logic Behind Statistical Tests T-Test T-test is a inferential statistical test that compares the means of two samples. It is preferable to a z test for instances in which the real standard error is not known. Estimated standard error is used, compu...
-
T Tests
-
T Tests T Tests Type I Error: incorrectly finding a significant effect – you could only avoid this through testing the entire populations because there will always be a type I error when inferring a significant effect ...
-
Wilcoxon Signed Ranks Test Non-parametric alternative for One Sample t-Test and Repeated Measures t-Test Repeated measures study; one individual measured twice the difference between two measurements is recorded as the "SCORE" for that individu...
-
Explanation of Statistical Tests and Null/Alternative Hypotheses Null and alternative hypothesesThere is a great deal of uncertainty when carrying out experiments in biology due to natural variation between individuals. When assessing the results of an experiment we can never be 10...
Slides
Topics in Common Statistical Tests (t-tests, Chi-Square, Non-parametric)
More Statistics and probability topics
About Common Statistical Tests (t-tests, Chi-Square, Non-parametric)
GoConqr OriginalWhat the page covers
The resources sit around one big question: which test fits my data? The mind map What analysis test should be used? splits data into categorical and quantitative, then points to tests such as chi-square goodness-of-fit. The Data Analysis Flowchart does the same by asking whether your outcome is continuous or categorical and how many independent variables you have.
Where to start
- Begin with a decision aid: the flowchart or the mind map Choose stats test.
- Move to the parametric side with the notes T Tests and the mind map on unrelated and related t-tests.
- Then read the chi-square material, such as the Chi square mind map and the flashcards on categorical data.
- Finish with non-parametric tests: Mann-Whitney Test, Wilcoxon Test, Spearman's Rho and Kruskal Wallis ANOVA.
Using quizzes and maps together
Read a map first, then test yourself. The quiz Biostatistics exam 2 study guide asks which procedure is nonparametric and which tests observed against expected frequencies. Quizzes such as Mann Whitney Test and Chi-square let you check one test at a time. Wrong answers show you which map to reopen.
The flashcard deck Statistics asks when to use chi-square, Spearman's rho or Wilcoxon, which is handy for quick recall. One resource mentions A-level Psychology, so school students will find a few items pitched at their stage, though most material is university level.
Where it fits
This unit belongs to the Statistical Inference strand of Statistics and probability. It is the place where hypothesis testing turns into practical choices about method.
Open a resource that matches your course, then add your own maps and flashcards for the tests you find hardest.
Frequently asked questions
Which resource should I open first?
Start with the mind map What analysis test should be used? or the Data Analysis Flowchart. Both help you decide between tests by asking about your variables. Once you know the route, move on to the notes on t-tests or the chi-square mind map.
What do the mind maps cover?
They cover choosing a test, t-tests for one sample and for related or unrelated groups, chi-square, Spearman's rank and rho, Mann-Whitney, and Kruskal Wallis ANOVA. Some also set out hypothesis steps, such as defining your null and alternative hypotheses before testing.
Are the resources free to use?
Yes. Every resource listed here is free to open, study and take, with no account needed. They were made by GoConqr users, not by GoConqr. A free account also saves your quiz scores and lets you make your own quizzes, mind maps, flashcards and notes.
Which levels do these resources suit?
Most are aimed at university students and professional candidates, with a smaller share for school students. One listed resource mentions A-level Psychology. Teachers can use the quizzes, flowcharts and flashcards as ready-made material for classes on choosing tests.
Is there anything on non-parametric tests?
Yes. You will find quizzes on the Mann Whitney Test and on Wilcoxon signed rank or matched pairs tests. There are also flowcharts for the Wilcoxon (T) Test and the Binomial Sign Test, plus flashcards and maps on Kruskal Wallis and Spearman's Rho.
What if I can't find my exact topic?
Try a nearby resource first, as many decks and maps overlap, for example the several chi-square and t-test sets. If the gap remains, you can build your own notes, maps or flashcards for it, and they will sit alongside the community's work.