Tag Archives: handbook of parametric and nonparametric statistical procedures

More Stats Planning

HEY PEEPS!

I typed out all the tests from my statistical tests handbook, then narrowed them down to 52 that I want to feature, one per week, on my blogs next year. Check ‘em:

  • Week 1: The Single-Sample z Test
  • Week 2: The Single-Sample t Test
  • Week 3: The Single-Sample Chi-Square Test for a Population Variance
  • Week 4: The Single-Sample Test for Evaluating Population Skewness
  • Week 5: The Single-Sample Test for Evaluating Population Kurtosis
  • Week 6: The Wilcoxon Signed-Ranks Test
  • Week 7: The Kolmogorov-Smirnov Goodness-of-Fit Test for a Single Sample
  • Week 8: The Chi-Square Goodness-of-Fit Test
  • Week 9: The Binomial Sign Test for a Single Sample
  • Week 10: The z Test for a Population Proportion
  • Week 11: The Single-Sample Runs Test
  • Week 12: The t Test for Two Independent Samples
  • Week 13: F Test for Two Population Variances
  • Week 14: The Median Absolute Deviation Test for Identifying Outliers
  • Week 15: The Mann-Whitney U Test
  • Week 16: The Kolmogorov-Smirnov Test for Two Independent Samples
  • Week 17: The Moses Test for Equal Variability
  • Week 18: The Siegel-Tukey Test for Equal Variability
  • Week 19: The Chi-Square Test for Homogeneity
  • Week 20: The Chi-Square Test of Independence
  • Week 21: The z Test for Two Independent Proportions
  • Week 22: The t Test for Two Dependent Samples
  • Week 23: The Wilcoxon Matched-Pairs Signed-Ranks Test
  • Week 24: The Binomial Sign Test for Two Dependent Samples
  • Week 25: The McNemar Test
  • Week 26: The Single-Factor Between-Subjects Analysis of Variance
  • Week 27: The Kruskal-Wallis One-Way Analysis of Variance by Ranks
  • Week 28: The van der Waerden Normal-Scores Test for k Independent Samples
  • Week 29: The Single-Factor Within-Subjects Analysis of Variance
  • Week 30: The Friedman Two-Way Analysis of Variance by Ranks
  • Week 31: The Cochran Q Test
  • Week 32: The Between-Subjects Factorial Analysis of Variance
  • Week 33: Analysis of Variance for a Latin Square Design
  • Week 34: The Within-Subjects Factorial Analysis of Variance
  • Week 35: The Pearson Product-Moment Correlation Coefficient
  • Week 36: The Point-Biserial Correlation Coefficient
  • Week 37: The Biserial Correlation Coefficient
  • Week 38: The Tetrachoric Correlation Coefficient
  • Week 39: Spearman’s Rank-Order Correlation Coefficient
  • Week 40: Kendall’s Tau
  • Week 41: Kendall’s Coefficient of Concordance
  • Week 42: Goodman and Kruskal’s Gamma
  • Week 43: Multiple Regression
  • Week 44: Hotelling’s T2
  • Week 45: Multivariate Analysis of Variance
  • Week 46: Multivariate Analysis of Covariance
  • Week 47: Discriminant Function Analysis
  • Week 48: Canonical Correlation
  • Week 49: Logistic Regression
  • Week 50: Principal Components Analysis and Factor Analysis
  • Week 51: Path Analysis
  • Week 52: Structural Equation Modeling

Yeah. It’ll be fun!

Twiddle

Remember this?

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It’s the big book of statistical tests that my mom got me back in like 2012. I didn’t know most of the tests in it at the time (mainly because I hadn’t done my stats-emphasis math degree yet), but now I feel a bit more knowledgeable about its contents.

So what I’d like to do as a resolution for 2016 is go through this book and focus on one test (with examples!) every week in my blog. Maybe on Sundays or something.

I’ll post more on this as it gets closer to the new year, but just a warning. There will be stats.

Best. Present. Ever.

Today was a fairly crappy Christmas for both my mom and myself (due to the wonderful, wonderful circumstances this year has brought both of us).
But my mom is an awesome human being (have I mentioned this yet? I need to mention it more) and surprised me with the book I was raving about a few months ago.

Observe this bad boy:

1,800 glorious pages of statistical tests, examples, and explanations. 43 individual statistical tests.

What am I going to do with this glorious wealth of knowledge?

LOVE IT, OF COURSE!

I also think I’m going to use this as the basis for a new blog starting January 1st. I think I’m going to call it StatsWeekly, and in it I’m going to, once a week, go over one of the tests in the Big Bad Stats Book of Awesomeness. I’ll find an appropriate data set, analyze it using the weekly featured tests, and discuss the interpretation and its implications.

How’s that sound? I’ll try to keep it away from this blog, ‘cause I know you’re all probably sick of my gushing over stats.

Yay! And Merry Christmas, ladies and gents!

As Time Marches On, We Sit and Dream

Oh my goodness.

Oh my statistical gods in heaven goodness.

I. Must. Have. This.
Short. Sentences. Mean. I’m. Serious.

This is a photo of the Handbook of Parametric and Nonparametric Statistical Procedures, hereby known as Claudia’s Stats Bible. 1,926 pages of univariate, bivariate, and multivariate statistical tests, both those parametric and those nonparametric.

In other words, it’s 1,926 pages of what is practically porn to me.

As soon as I get my first check from Western, this book shall be mine.

Be prepared for further gushing at a later date.