Intro Statistics 9 Dance of the p Values Geoff Cumming 2013-09-22 | I use pictures from the ESCI software to give a brief, easy account of the Dance of the p Values. The simulation illustrates how enormously and disastrously variable the p value is, simply because of sampling variability. Never trust a p value! Use estimation, not NHST! Most researchers don't appreciate just how unreliable a p value is!This is Video 9 of 10 that introduce some basic statistical ideas underlying 'The New Statistics', meaning estimation (effect sizes, confidence intervals, and meta-analysis). The New Statistics provide a much better way to draw conclusions from data than the traditional null hypothesis significance testing (NHST). More information about my book and the ESCI software is at: www dot thenewstatistics dot com
Significance Roulette 2 Geoff Cumming 2017-04-12 | In Significance Roulette 1, I demonstrated that running a typical experiment is like spinning a roulette wheel to obtain a p value. Here I explain how running a replication of an initial experiment that obtained, for example, p = .05, is also like spinning a particular roulette wheel of p values. I then explain p intervals, the 80% prediction interval for the p value, following an initial experiment. These intervals are very long! The conclusion has to be that p values are enormously variable and totally unreliable. We simply should not use them. There are much better ways! See www.thenewstatistics.com
Significance Roulette 1 Geoff Cumming 2017-04-12 | The p value is extremely unreliable, enormously variable. In fact, running a typical experiment, to obtain a p value, is equivalent to spinning a roulette wheel marked with a very wide range of p values. We simply should not use p values. There are much better ways to draw conclusions from data. See www.thenewstatistics.com
16.2 More future directions, for ITNS book Geoff Cumming 2016-09-27 | Non-normal data, robust statistical techniques. Robust analysis for independent groups, trimming, and trimmed means. ESCI intro chapters 10-16, Robust two. N sex partners example. Archival and longitudinal data. Numerous DVs. Big data. Open Science and careful critical thought. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
14.1 One-way independent groups, for ITNS book Geoff Cumming 2016-09-27 | One-way independent groups design. Bushman example of advertising effectiveness. ESCI intro chapters 10-16, Ind groups comparisons. Planned comparisons, CI on a comparison. Rattan student motivation example. ESCI intro chapters 10-16, Ind groups contrasts. Planned contrasts of subset means, CI on a contrast. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
16.1 Future directions, for ITNS book Geoff Cumming 2016-09-27 | Open Science, the new statistics, the ten-step plan for research. Replicability of research in psychology, Many Labs 1, Reproducibility Project: Psychology. Preregistered review. Student participation in replication research. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
14.2 More one-way independent groups, for ITNS book Geoff Cumming 2016-09-27 | Halagappa Alzheimer’s example with mice. ESCI intro chapters 10-16, Ind groups contrasts. Planned contrasts of subset means, CI on a contrast. Planned and exploratory analysis, cherry picking. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
15.1 Two-way independent groups, for ITNS book Geoff Cumming 2016-09-27 | Two-way independent groups design. Frenda 2 × 2 false memory example. ESCI intro chapters 10-16, Ind groups 2 × 2. Main effects, simple main effects, with CIs. Interaction as difference of differences, with CI. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
14.3 One-way repeated measure, for ITNS book Geoff Cumming 2016-09-27 | Independent groups and repeated measure designs. Comparisons, contrasts, and their CIs. One-way repeated measure design. Donohue critical thinking example. ANOVA, an alternative approach to analyzing extended designs. Main effect of the one IV. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
15.2 More two-way designs, for ITNS book Geoff Cumming 2016-09-27 | Main effects and interaction. Rock/Classical, Party/Church example. Patterns of means, interaction as non-parallel lines. One IV as moderator of the effect of the other IV. RCT, two-way factorial design with one repeated measure, Hölzel meditation example. Two-way design with two repeated measures, Weisberg quality of explanation example. Two-way 3 × 2 mixed design, McDaniel study technique example. Two-way 3 × 5 mixed design, Chaix restricted feeding example with mice. General analysis strategy for extended designs. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
8.2 More paired design, for ITNS book Geoff Cumming 2016-09-27 | The paired design, Thomason 1 example. ESCI intro chapters 3-8, Data paired. Cohen’s d and dunbiased. Standardizer for the paired design. CI for delta. ESCI intro chapters 3-8, Summary paired. Thomason 2 example. No overlap rule for paired design. Comparing two designs. Carryover effects, counterbalancing, and parallel forms of a test. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
12.2 Regression, for ITNS book Geoff Cumming 2016-09-27 | Regression and inference. ESCI intro chapters 10-16, Scatterplots. Thomason 1 example. CI on slope, b. CI for mean Y at a particular X, curves for those CIs. Prediction interval for a single value of Y at a particular X, curves for those PIs. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
13.1 One proportion, for ITNS book Geoff Cumming 2016-09-27 | Frequencies, percentages, proportions. ESCI intro chapters 10-16, One proportion. The asymmetric CI on a proportion. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
13.2 Two proportions, for ITNS book Geoff Cumming 2016-09-27 | The difference between two independent proportions. ESCI intro chapters 10-16, Two proportions. CI on the difference. Chi-square, an alternative approach to analyzing a 2 × 2 frequency table. Phi coefficient. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
12.1 Regression, for ITNS book Geoff Cumming 2016-09-27 | Linear regression of Y (predicted variable) on X (predictor variable). ESCI intro chapters 10-16, Scatterplots. Thomason 1 example. Residuals, equation of the line, intercept and slope. Standard scores, regression of ZY against ZX, with slope r. Regression for making predictions. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
10.1 Open Science, for ITNS book Geoff Cumming 2016-09-27 | Replication crisis, three Ioannidis problems, the p less than .05 imperative. Questionable research practices, p hacking. Psychological Science, Open Science policies, badges, the new statistics. Preregistration. Center for Open Science, Open Science Framework. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
11.2 Correlation CI, for ITNS book Geoff Cumming 2016-09-27 | Bivariate normal distribution. ESCI intro chapters 10-16, See r. Dance of the r values. The asymmetric CI on r, ESCI intro chapters 10-16, One correlation. CI on the difference between two independent r values, ESCI intro chapters 10-16, Two correlations. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
11.1 Correlation, for ITNS book Geoff Cumming 2016-09-27 | ESCI intro chapters 10-16, Scatterplots. Scatterplots, loading data within ESCI. ESCI intro chapters 10-16, See r. Pearson’s correlation, r. Eyeballing r from scatterplots, tightness to the line, cross through the means, matched and mismatched quadrants. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
8.1 Paired design, for ITNS book Geoff Cumming 2016-09-27 | The paired design, Thomason 1 example. ESCI intro chapters 3-8, Data paired. Mean of the paired differences and CI on that mean. Loading a data set within ESCI. Correlation between the measures. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
10.3 Power, for ITNS book Geoff Cumming 2016-09-27 | Statistical power, alpha, target delta, N. Power for planning, independent groups, values of power. Paired design, correlation between the measures, power for planning, values of power. Post hoc power: a bad idea. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
10.2 Precision for planning, for ITNS book Geoff Cumming 2016-09-27 | Pilot testing, planning research. Precision for planning. ESCI intro chapters 10-16, Precision two. Target MoE. Independent groups. MoE distribution. Planning with assurance. ESCI intro chapters 10-16, Precision paired. Paired design, correlation between the measures. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
9.1 Meta-analysis, for ITNS book Geoff Cumming 2016-09-27 | Meta-analysis, forest plot, diamond. ESCI intro Meta-Analysis, Original two groups. McCabe and Michael brain picture example. Study weights, fixed effect and random effects models, diamond ratio, heterogeneity. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
9.2 More meta-analysis, for ITNS book Geoff Cumming 2016-09-27 | Meta-analysis with Cohen’s d and dunbiased. ESCI intro Meta-Analysis, d subsets. Damisch and Calin luck example. Subsets analysis, dichotomous moderator. Statistical significance and selective publication, file drawer effect. Loading data into ESCI. End-of-chapter flag-priming exercise. Cochrane Collaboration. Open Science, replication, and meta-analysis. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
7.4 p values, for ITNS book Geoff Cumming 2016-09-27 | Thinking about p values, p as strength of evidence. Dance of the CIs, dance of the p values. Extreme sampling variability of the p value. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
7.3 CI overlap, for ITNS Geoff Cumming 2016-09-27 | ESCI intro chapters 3-8, Data two. ESCI intro chapters 3-8, Summary two. Eyeballing the difference and CI on the difference, for independent groups. Overlap rule for independent CIs. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
7.2 More independent groups, for ITNS Geoff Cumming 2016-09-27 | ESCI intro chapters 3-8, Data two. Cohen’s d and dunbiased. CI for delta . ESCI intro chapters 3-8, Summary two. End-of-chapter exercises, with ESCI. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
7.1 Independent groups, for ITNS Geoff Cumming 2016-09-27 | Independent groups design, pen-laptop example. ESCI intro chapters 3-8, Data two. Difference between group means and CI on the difference. Figure with difference axis. Homogeneity of variance, pooled standard deviation, Welch-Satterthwaite. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
5.2 CIs and t distribution, for ITNS book Geoff Cumming 2016-09-27 | ESCI intro chapters 3-8, CIjumping. sigma not known, t distribution, degrees of freedom, CIs of varying length. ESCI intro chapters 3-8, Normal and t. Normal and t distributions. Tail areas of the t distribution. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
5.1 Confidence intervals, for ITNS book Geoff Cumming 2016-09-27 | ESCI intro chapters 3-8, CIjumping. Sampling variability, mean heap, margin of error (MoE). M close to mu, so mu close to M. Confidence interval (CI). Dance of the CIs. Level of confidence, C, usually 95. 5% of CIs are red. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
5.3 CI interpretation, for ITNS book Geoff Cumming 2016-09-27 | ESCI intro chapters 3-8, CIjumping. One from the dance, 5% of CIs are red. Interpret our interval, unless N is very small. Cat’s eye picture of a CI. MoE our measure of precision. 95% CI as an 83% prediction interval for a replication mean. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
6.1 CIs and p, for ITNS book Geoff Cumming 2016-09-27 | Cat’s eye picture, plausibility, and the p value for different null hypothesis values. Hypothesis testing, NHST, p as a measure of strength of evidence against H0. Reading the approximate p value from a CI; eyeballing the CI from a p value. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
6.2 Red flags, for ITNS book Geoff Cumming 2016-09-27 | The anti-ageing product: a cautionary tale. Four red flags. Beware dichotomous thinking, prefer estimation thinking. Beware the “S” word (“significant”). Beware accepting the null hypothesis. Beware the p value. Effect sizes and CIs are more informative. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
4.3 Central limit theorem, for ITNS book Geoff Cumming 2016-09-27 | ESCI intro chapters 3-8, CIjumping. Sampling distribution of the sample mean, for normal, rectangular, skew populations. Central limit theorem. The normal distribution in nature. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
3.2 More descriptives, for ITNS book Geoff Cumming 2016-09-27 | ESCI intro chapters 3-8, Describe. Generate a data set. Positive and negative skew. Percentiles, quartiles, inter-quartile range. Loading data into ESCI. End-of-chapter Exercise 2. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
2.1 Research fundamentals, for ITNS book Geoff Cumming 2016-09-27 | Populations and random sampling. Population parameters and sample statistics. Nominal, ordinal, interval, and ratio levels of measurement. Planned and exploratory analysis. Full reporting, without selection. Preregistration. Cherry picking, seeing faces in the clouds. Don’t fool yourself! This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
3.1 Descriptives, for ITNS book Geoff Cumming 2016-09-27 | Introduction to ESCI. ESCI intro chapters 3-8, Describe. Revealing pictures of data: frequency histogram and stacked dot plot. Loading a data set within ESCI. Measures of location: mean, median. Measures of spread: standard deviation, variance. z scores. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
4.2 Sampling, for ITNS book Geoff Cumming 2016-09-27 | Computer simulation of random sampling from a normal population of HEAT scores. ESCI intro chapters 3-8, CIjumping. Sampling variability. Dance of the means. Empirical and theoretical sampling distributions of the mean. Standard error. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
4.1 Normal distribution, for ITNS book Geoff Cumming 2016-09-27 | A continuous distribution: the normal distribution. ESCI intro chapters 3-8, Normal. Areas, probabilities, and z scores; X scores; z = 1.96, z = 2.58. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
1.2 Meta analysis, for ITNS book Geoff Cumming 2016-09-27 | Meta-analysis to combine results from two or more similar studies. Forest plot and diamond. The new statistics: estimation and meta-analysis. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
1.3 Open Science, for ITNS book Geoff Cumming 2016-09-27 | The replication crisis. Open Science techniques to increase the trustworthiness of science. Replication. Fully detailed reporting, without selection. Do we have the full story? This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
1.1 Research questions, for ITNS book Geoff Cumming 2016-09-27 | Introduction. Research questions. Poll example. 95% confidence interval. Estimation. Point and interval estimates to answer research questions. The six-step research process. This is a video to go with the book: Introduction to The New Statistics: Estimation, Open Science, and Beyond (Routledge 2017) by Geoff Cumming & Robert Calin-Jageman. See: www.thenewstatistics.com
Intro Statistics 10 Meta Analysis Geoff Cumming 2013-09-22 | I use pictures from the ESCI software to give a brief, easy introduction to meta-analysis, which is estimation extended to more than one study. Enjoy the forest plot, a beautiful picture that summarises a number of related studies, and their integration by meta-analysis.. This is Video 10 of 10 that introduce some basic statistical ideas underlying 'The New Statistics', meaning estimation (effect sizes, confidence intervals, and meta-analysis). The New Statistics provide a much better way to draw conclusions from data than the traditional null hypothesis significance testing (NHST). More information about my book and the ESCI software is at: www dot thenewstatistics dot com
Intro Statistics 8 From NHST to Estimation Geoff Cumming 2013-09-22 | I use pictures from the ESCI software to give a brief, easy introduction to the shift from NHST to estimation. Confidence intervals are much more informative than null hypothesis significance testing (NHST). Use estimation, not NHST! Statistical cognition evidence supports the change!This is Video 8 of 10 that introduce some basic statistical ideas underlying 'The New Statistics', meaning estimation (effect sizes, confidence intervals, and meta-analysis). The New Statistics provide a much better way to draw conclusions from data than the traditional null hypothesis significance testing (NHST). More information about my book and the ESCI software is at: www dot thenewstatistics dot com
Intro Statistics 7 Confidence Intervals Geoff Cumming 2013-09-22 | I use pictures from the ESCI software to give a brief, easy introduction to confidence intervals. ESCI simulations illustrate the dance of the confidence intervals.This is Video 7 of 10 that introduce some basic statistical ideas underlying 'The New Statistics', meaning estimation (effect sizes, confidence intervals, and meta-analysis). The New Statistics provide a much better way to draw conclusions from data than the traditional null hypothesis significance testing (NHST). More information about my book and the ESCI software is at: www dot thenewstatistics dot com
Intro Statistics 6 Estimation Geoff Cumming 2013-09-22 | I use pictures from the ESCI software to give a brief, easy introduction to estimation. I use a simulation of sampling to generate the sampling distribution of the mean, and show the dance of the means and dance of the confidence intervals.This is Video 6 of 10 that introduce some basic statistical ideas underlying 'The New Statistics', meaning estimation (effect sizes, confidence intervals, and meta-analysis). The New Statistics provide a much better way to draw conclusions from data than the traditional null hypothesis significance testing (NHST). More information about my book and the ESCI software is at: www dot thenewstatistics dot com
Intro Statistics 5 Standard Error Geoff Cumming 2013-09-22 | I use pictures from the ESCI software to give a brief, easy introduction to standard error. I use simulations of sampling to illustrate the sampling distribution of the sample mean, and the SD of that distribution, called the standard error. This is Video 5 of 10 that introduce some basic statistical ideas underlying 'The New Statistics', meaning estimation (effect sizes, confidence intervals, and meta-analysis). The New Statistics provide a much better way to draw conclusions from data than the traditional null hypothesis significance testing (NHST). More information about my book and the ESCI software is at: www dot thenewstatistics dot com
Intro Statistics 4 Sampling Geoff Cumming 2013-09-21 | I use pictures from the ESCI software to give a brief, easy introduction to sampling. I use simulations of sampling to illustrate sampling variability and the sampling distribution of the mean.This is Video 4 of 10 that introduce some basic statistical ideas underlying 'The New Statistics', meaning estimation (effect sizes, confidence intervals, and meta-analysis). The New Statistics provide a much better way to draw conclusions from data than the traditional null hypothesis significance testing (NHST). More information about my book and the ESCI software is at: www dot thenewstatistics dot com
Intro Statistics 3 The Normal Distribution Geoff Cumming 2013-09-21 | I use pictures from the ESCI software to give a brief, easy introduction to the normal distribution, based on the beautiful bell-shaped picture. This is Video 3 of 10 that introduce some basic statistical ideas underlying 'The New Statistics', meaning estimation (effect sizes, confidence intervals, and meta-analysis). The New Statistics provide a much better way to draw conclusions from data than the traditional null hypothesis significance testing (NHST). More information about my book and the ESCI software is at: www dot thenewstatistics dot com
Intro Statistics 2 Descriptive Statistics Geoff Cumming 2013-09-21 | I use pictures from the ESCI software to give a brief, easy introduction to descriptive statistics. In the context of a frequency histogram and dot plot I give a pictorial introduction to the mean, median, and standard deviation. This is Video 2 of 10 that introduce some basic statistical ideas underlying 'The New Statistics', meaning estimation (effect sizes, confidence intervals, and meta-analysis). The New Statistics provide a much better way to draw conclusions from data than the traditional null hypothesis significance testing (NHST). More information about my book and the ESCI software is at: www dot thenewstatistics dot com
Intro Statistics 1 Frequency Distributions Geoff Cumming 2013-09-21 | I use pictures from the ESCI software to give a brief, easy introduction to frequency histograms. This is Video 1 of 10 that introduce some basic statistical ideas underlying 'The New Statistics', meaning estimation (effect sizes, confidence intervals, and meta-analysis). The New Statistics provide a much better way to draw conclusions from data than the traditional null hypothesis significance testing (NHST). More information about my book and the ESCI software is at: www dot thenewstatistics dot com
