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An innovative integrated approach to the testing and comparison of motorcycle drive chain lubricants is presented.
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We invite others to use these data to make further comparisons; they should be very suitable for the development, testing, and comparison of similarity approaches, clustering algorithms and accuracy measurement approaches.
Such answers comprised of two cases: the tester decided that the test and comparison texts were of the same length or he/she incorrectly assigned the length relationship (showing that he/she was unable to correctly differentiate them).
Since the evaluation was done on a small group, further testing and comparison of the experience-based approach for various target groups on bigger samples is necessary.
Calculations of the tests and comparison with experimental results are presented.
Experiment 4 is the testing and accuracy comparison of the MR-DIDC algorithm and the SPRINT algorithm.
Comparison of two means was performed using the Student t test, comparison of two medians using the Wilcoxon test, and comparison of two proportions using the Fisher exact test.
Comparison of categorical variables was performed with the χ test, and comparison of continuous variables with the Mann–Whitney U-test.
Comparison of two means was performed using the Student's t-test, comparison of two medians using the Mann-Whitney test, and comparison of two proportions using the Fisher's exact method.
Comparison of 2 means was performed by using the Student t test, and comparison of 2 proportions was performed by using the Fisher exact method.
Statistical significance was tested using the log-rank test and comparison of 95% confidence intervals.
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