1. Why is a one-sided test ever used when a sampling distribution is normal?

  2. What is the sample distribution of DFBETA in linear regression?
  3. Conversion Measure: Chi-Square Test vs Daily Avg Conversion Rate
  4. Picking a significance level to minimise damages

  5. How to test if variable is ordinal or from an interval?
  6. How do I calculate the standard error of the $\chi^2$ statistic?
  7. Which test to use to compare multiple ratios when variability among groups is very different (cannot use ANOVA)?

  8. Which OMR software could be used to evaluate these sheets?

  9. Estimating the randomness of a LCG

  10. Performing t-tests on survey data (point allocation)

  11. Is it valid to use the pooled proportion when testing nonzero proportion difference between populations?
  12. More null rejections than expected at confidence level. Multiple testing

  13. Computing a "two-sided p-value" when the binomial dist. is NOT symetric
  14. What is a good statistical test to use to compare 2 models

  15. Repeated testing to increase confidence?

  16. Why do statisticians say a non-significant result means "you can't reject the null" as opposed to accepting the null hypothesis?
  17. What test to use to compare two statistical distributions with 1 variable and many categories

  18. Sample size and Mann Whitney
  19. Which test to use to test this hypothesis

  20. Use a classification model to estimate test data labels. What test should I use?

  21. What's the difference between a descriptive statistic and a test statistic?

  22. Restriction test (H0: alpha1+beta1 = 1, H1:alpha1 + beta1 ≠ 1) on GARCH model in R not working
  23. Comparing two non-parametric models by likelihood ratio

  24. Neyman-Pearson Lemma and Form of Null Hypothesis
  25. Does a UMP test exist for this problem?

  26. Paired t-test of predictions of multiple models

  27. Test for bimodal distribution
  28. What is functional form of the restricted model when linear combination of coefficients not equal 0?

  29. t-test when subjects contribute more than one observation
  30. Interpreting Granger Causality F-test
  31. Correct interpretation of Kendall's W
  32. How to test the significance of an intervention

  33. effect of population mean on type 1 error rate

  34. McNemar Test: Reporting Chi-Square?

  35. R - what is magnitude of region of similarity (epsilon) when using tost() from equivalence package
  36. Why would parametric statistics ever be preferred over nonparametric?

  37. Detecting time-shifted time series

  38. $H_0 : \beta_2 \le 0$ or $=0$

  39. Pearson's $\chi^2$-test for independence in this case (table with percentage) correct?
  40. Lack of equivalence between a confidence set and and a statistical test
  41. Null and alternative hypothesis in a test using the hypergeometric distribution

  42. Deriving Wilk's distribution for two normal independent variables
  43. 2 sided p value calculation from Monte Carlo simulation with frequency parameters?

  44. Pooled variance for post hoc tests for contingency table $\chi^{2}$ tests

  45. Does this situation necessitate multiple comparison corrections?

  46. GLM with three categorial predictors (including time)

  47. Decision guidance for hypothesis test
  48. Nonlinear Regression with ODEs: Hypothesis Testing

  49. Meaning of "a test task is nonparametric or parametric"?
  50. Is normality testing 'essentially useless'?

  51. T versus Mann-Whitney U test
  52. Comparing a mixed model (subject as random effect) to a simple linear model (subject as a fixed effect)

  53. Hypothesis testing on two proportions in two finite populations
  54. Friedman's test or Kruskal-Wallis?

  55. Why multiply by 2 in two-sided hypothesis test for bootstrapped statistics?

  56. Significance of relationship between sex and bachelor's degree or higher (2017 U.S. labor force, ages 25 and up) (disparity, difference)

  57. P-value distribution under alternative hypothesis is stochastically smaller than uniform
  58. $Pr<W$ and $Pr>D$ - interpretation of statistic tests results

  59. t test p value vs randomization-inference p value: What can we learn from comparison?
  60. What test statistic of significant difference to use for time series data?

  61. Research Questions and Hypotheses
  62. How does a marginal likelihood come to include both parameter and model values?

  63. Factorial design for interactions with ordinal DV
  64. Which statistical test to use with multiple response variables and continuous predictors?

  65. Hypothesis at 5% significant for slope and intercept coefficient
  66. Comparing two models using Wald Test

  67. Test for Equivalence version of MANOVA
  68. Statistical Test Evaluation?
  69. Comparing mixed-effects and fixed-effects models (testing significance of random effects)

  70. Hypothesis testing using a joint distribution of two variables
  71. Confidence interval for differences in total sums

  72. Calculating n for Kolmogorov-Smirnov two-sample test
  73. Simpson's paradox: discrepancy between Mantel–Haenszel test in 3-way contingency table and Fisher's exact test in partial tables
  74. ASA discusses limitations of $p$-values - what are the alternatives?
  75. How to deal with Network Effects in AB Testing?
  76. How to rank data in R?
  77. What test to use for aggregate and cumulative data?
  78. Are HAC robust standard errors robust against autoregressive conditional heteroskedasticity?
  79. Index of Dispersion - How to test its significance?

  80. Is changing your data from long form into wide form by summing it a valid statistical analysis step?
  81. Theory behind testing whether $\mu \in \mathbb{Q}$ for $X \sim \mathcal{N}(\mu, \sigma^2)$
  82. 2-Sample Proportions z-test vs Fisher's Exact Test

  83. Null-hypothesis testing and likelihood-ratio testing
  84. What test should I use in spss
  85. Binary classification of DNA sequence motifs

  86. Determining if a test measurement is from an empirical control distribution

  87. Why are all possible sets of Wilcoxon ranks equiprobable?

  88. What are the restrictions on hypotheses?
  89. How to statistically distinguish between two types of time series (bimodal vs. not bimodal)?

  90. Do I need to "correct"?
  91. Why is the probability to observe extremer results relevant (P-Values)

  92. Misinterpretation of statistics: falsely accused
  93. Test for normality (not non-normality)

  94. What conditions of normality must be met for paired/unpaired t-tests?
  95. Ranking K coins

  96. What is wrong with one tailed z-tests for a proportion?
  97. Likelihood Ratio Test for Expontential Scale and Location Family

  98. one-sided joint test of coefficients
  99. Hypothesis test between means of week and weekend patterns of the same time series
  100. Hypothesis Testing. [MOntgomery, Runger, and Hueble (2007)]