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- Stats tester plus Vs. Art of Stat: Resampling
Stats tester plus im Vergleich zu Art of Stat: Resampling Nutzung und Statistiken
### Features of this statistics app ###
1. By using Stats tester plus, you can perform some parametric and nonparametric statistics tests with an easy operation.
2. Since one sample group (multiple data) is entered in one window, it is easy to enter, add, and modify many data.
3. For tests with multiple input windows, 100 data can be entered for each input window. For tests such as chi-square test (2X2, mXn) and Fisher exact test (2X2), you can enter up to frequency of 100,000,000
4. A built-in 10-keypad in a phone or calculator layout makes data entry easy. Standard iPhone and Mac keyboards are also available, and these can be switched to a 10-keypad at any time.
5. Unlike the Mini version, Stats tester plus includes tests that allow not only two-tailed tests but also one-tailed tests. In addition, for tests that perform continuity correction, it is also possible to display the test results without continuity correction.
6. Input data and all output screen can be recorded by sharing (mail, memo). No need to take notes on paper.
7. Data can be imported into the input window from apps such as Excel and Numbers by copy/paste, although it takes a little time. When you have an M1~3 Mac, you can simply copy/paste Numbers data into the input window of this app.
8. You can check the usability of this app with Stats tester mini (free version). Stats tester mini has fewer tests than Stats tester plus and does not support one-tailed tests, but its usability is the same as Stats tester plus. Please download Stats tester mini and check the usability of this Plus version of Stats tester.
## how to use ##
Each test screen has [Help], [Example], [Graph], [Calc], [Clear] and [Share] buttons.
You can check the usage details in the free version of Stats tester mini.
## Statistics methods ##
Currently, 27 methods are available.
A. Basic Statistics (Mean,SD,Median, etc) [Graph]
1. Mean, SD, Skewness, Kurtosis, etc.
( Means (Arithmetic, Geometric and Harmonic), Standard Deviation、Standard Error、Confidence interval (CI, 95 and 99%), Variance, Unbiased variance, Coefficient of variation (%CV), Skewness, Kurtosis)
2. Median, Range, Quartiles and Boxplot [Graph]
(Median, Maximum, Minimum, Quartiles, Quartile Deviation, Boxplot)
B. Test for Mean,Variance,etc. (Parametric)
1. One-Sample t-Test (to Compared Mean) [Graph]
2. Two-Sample t-Test (Student's and Welch's t-Tests) [Graph]
3. Paired t-Test (Paired Sample) [Graph]
4. F-Test of Variance for Two Samples [Graph]
5. Levene Test of Variance for Multiple Samples [Graph]
6. One-Way Analysis of Variance (ANOVA) [Graph]
7. Multiple t-Test with Bonferroni Correction [Graph]
C. Test for Median, etc. (Nonparametric)
1. Mann-Whitney U Test (Two Samples) [Graph]
2. Median Test (Two Samples) [Graph]
3. Wilcoxon Signed Rank Test (Paired Sample) [Graph]
4. Kruskal-Wallis Test & Multiple Comparisons (by Bonferroni Correction) [Graph]
D. Test for Proportion
1. Sign Test (Paired Sample) [Graph]
2. Binomial Test [Exact Method] (One-Sample Proportion Test)
3. Binomial Test [Approx Method] (One-Sample Proportion Test)
4. Two-Sample Proportion Test [Approx. Method]
E. Test for Frequency
1. Chi-Square Test (Goodness of Fit) [Graph]
2. Chi-Square Test (2x2, Independence)
3. Chi-Square Test (mxn, Independence)
4. McNemar's Test (Chi-Square Test for Paired Sample)
5. Fisher's Exact Test (2x2)
F. Test for Correlation
1. Linear Regression and Test for Pearson Correlation Coefficient [Graph]
2. Test for Differences in Correlation Coefficients (One Sample)
3. Test for Differences in Correlation Coefficients (Two Samples)
4. Spearman Rank Correlation Test [Graph]
G. Other (Normality Test)
1. Shapiro-Wilk Test (Normality) and Q-Q Plot [Graph]
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Bootstrap Confidence Intervals and Permutation Tests for Means, Medians, Proportions, the Correlation Coefficient and the Slope, and the Chi-Square Test for Independence.
Modern statistical calculator for teachers and students of statistics.
The Art of Stat: Resampling app lets you find bootstrap confidence intervals and permutation P-values. The app illustrates the procedures interactively so you can understand how they work. Several example datasets are preloaded for you to explore, but you can also enter your own data or import a CSV file.
The following resampling methods are implemented:
- Bootstrap Confidence Interval for a population mean, median, or standard deviation.
- Bootstrap Confidence Interval for a population proportion or the population odds.
- Bootstrap Confidence Interval for a population correlation (Pearson and Spearman) or the population slope of a regression model.
- Bootstrap Confidence Interval for the difference of two population means or medians.
- Permutation Test for a population mean or median.
- Permutation Test for the difference of two population means or medians.
- Permutation Test for the independence of two categorical variables (Permutation Chi-Squared Test)
Easily find the bootstrap confidence interval based on the percentile and other methods. For inference about population means, compare results to traditional methods based on the Student-t distribution. For the Chi-squared test of independence, compare to the results from Pearson's Chi-squared test.
Each procedure has three screens:
1) Enter Data on the first screen in various ways, and obtain descriptive statistics and corresponding graphs (Histogram, Boxplot, Bar Chart).
2) Generate the bootstrap or permutation distribution on the second screen, step-by-step, or 1,000 at a time.
3) Obtain the Bootstrap Confidence Interval or Permutation P-value on the third screen, along with lots of supporting information and comparison to classical, central-limit-based inference.
The app comes with several example datasets pre-loaded, but you can also upload your own .CSV file or create one in the Data Editor.
Easily share results by taking screenshots.
Unlock all content for a one-time small fee!
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Art of Stat: Resampling
Januar 16, 2025