1. May I use t-test for hypothesis, if my sample's n=22, s=1000, and population's s=1600(n=60)? Or it doesn't make sense?

  2. Testing a linear hypothesis for a discrete distribution
  3. How to condition on the result of a test?

  4. If I am convinced that a series is mostly trend+season, what is it I should check about the residuals?

  5. Testing correlation between a Boolean and integer variable
  6. How does one check for normality of binned sampled data
  7. Can I use z test for a sample that have no outliers?
  8. Is it possible, to compare classifiers using Dietterich's 5x2cv paired t test and Matthew's correlation coefficient as an "error" metric?
  9. Multivariate differences between groups controlling for one factor (MANOVA)
  10. Nonparametric test for comparing trends in two time series

  11. Reasoning behind rejection rule in hypothesis testing

  12. How to handle multiple measurements per participant, with categorical data?

  13. Really simple question! Which analysis to use?

  14. Hypothesis testing performance of replicated model

  15. Statistical test for testing different between groups in terms of efficiency in regression

  16. When does the accuracy on the test set surpass that of the training set?

  17. Why will the validation set error underestimate the generalisation error?
  18. Implementing chi-square in python and testing on scipy's poisson and norm variates
  19. Case Control Hypothesis Testing with Missing Values
  20. Understanding two-way repeated measures anova
  21. Chi square vs T test

  22. Problem in understanding which test to use
  23. How to compare year over year metrics for an event when holiday dates do not line up?

  24. Link between the null hypothesis and test statistics in F-test

  25. Testing sum of two parameters different from 0 on a given interval in regression
  26. Is this hypothesis test correct?

  27. Bootstrap p-value

  28. Implications of a negative kurtosis for hypothesis tests
  29. Linear models and hypothesis testing

  30. How to compare of two Spearman correlations matrices?
  31. T-Test vs. Sign Test for an unknown distribution
  32. Testing within-model equality of parameters -- why the F-distribution? (and also a question about degrees of freedom)

  33. Actual number of false positive at α =0.05

  34. How should I formulate this hypothesis test?
  35. Confidence interval vs Hypothesis testing

  36. Help with a step in a likelihood ratio example

  37. Is a low significant coefficient stronger evidence for a low true coefficient compared with a higher insignificant coefficient?
  38. How do I run stats on a data set organized by bins?
  39. Negative values for Wilks likelihood ratio statistic

  40. How can my research question be tested statistically?

  41. likelihood ratio test for Geometric distribution

  42. Calculating Fisher's exact in Rails?
  43. Does uniform subsampling of a biased sample reduce the bias?
  44. Testing hypothesis of relative variances from two groups of non-normal data
  45. what are the causal tests that can be used for proving causation?

  46. Are you supposed to mean-center your null distribution after bootstrapping for regression coefficients?

  47. Anova on discrete data
  48. How to test if these two samples are from the same distribution?

  49. Test for multiple means with known variance
  50. What is the relationship between ANOVA to compare means of several groups and ANOVA to compare nested models?
  51. t test p value vs randomization-inference p value: What can we learn from comparison?

  52. Is my uncertainty estimate good?

  53. Is it necessary to correct for multiple testing when backtesting the same strategy on different data sets?

  54. Minimum sample size required to conclude that there is no statistical difference between two proportions
  55. Hill climbing with noisy data
  56. What is the null hypothesis of the Mcleod and Li test?

  57. How to test if two sample multivariate normal has the same covariance matrix in R?
  58. How to define prior for beta-binomial A/B test

  59. T-Test using means vs without means - correct approach

  60. Is it valid to use an independent test-set for two different experiments which have been merged and re-analysed as one experiment?

  61. Interpreting R coxph() coefficients

  62. How to account for imprecision of measurement used in clinical trial statistical testing?
  63. Which test do I use to compare two groups for significance in a 2x2 design?

  64. Hypothesis testing - interpreting contradicting results
  65. Determining the Number of Restrictions in an F-test
  66. Testing for autocorrelation: Ljung-Box versus Breusch-Godfrey

  67. Why are 0.05 < p < 0.95 results called false positives?

  68. How to get a single p-value from the two p-values of a Mardia's multinormality test

  69. Regression Hypothesis Testing for multivariate models

  70. Zero-inflated model: non-finite value supplied by optim

  71. What kind of test should I use? 4 groups
  72. Breusch–Godfrey test under heteroskedasticity
  73. Does statistical power matter if we are not interested in NHST?

  74. How to compare logistic regression curves?
  75. Why do I get this p-value doing the Jarque-Bera test in R?

  76. I need help finding the test statistic z
  77. Statistical test to compare estimated frequencies?
  78. How to perform a Binomial Test when having replicates?

  79. the turning point test
  80. How to do bayesian updating when a statistical test gives insignificant results?
  81. McNemar Test: Reporting Chi-Square?
  82. How to evaluate actual vs. expected performance when expected performance is estimated with uncertainty?

  83. how to test the amount of classifier confusion within versus between overarching classes

  84. t test alternative when participants can belong to multiple groups?
  85. Statistical Test: Comparing muiltiple choice responses across 2 groups
  86. Testing differences in frequencies

  87. Post hoc test for Friedman with replicated measurements (multiple repetitions per participant and condition)

  88. Hypothesis Testing for the Population Proportion p
  89. what t-test should i use for an experiment on a system? and how to measure improvements in the system, if any?

  90. Is it sensible to use Bayes Factors to examine probability that each coefficient in a mixed effects model is > 0?

  91. How would I test these hypotheses?
  92. Significance of coefficient from two different regressions
  93. Permutation tests for sharp vs weak null hypothesis

  94. Permutation tests of correlation matrix in R , which correlations are significant?
  95. Factorial design for interactions with ordinal DV
  96. How to compare a randomly chosen sub-sample with the main sample in a before-after intervention study?

  97. How can I create a testable hypotheses to compare benchmark results for the same tests run in 3 environments

  98. probability of a single data point of belonging to a distribution

  99. Chi-square test alternatives to test for shift in distributions
  100. Confusion with false discovery rate and multiple testing (on Colquhoun 2014)