"freedom of errors" is a correct and usable phrase in written English.
It is often used in discussions or writing about the concept of making mistakes or the ability to make mistakes without consequence. Example: The company's strict policies on quality control limited the employees' freedom of errors, causing a decrease in productivity.
As statistical sample size (N) of our research was 24, the freedom of error (d f ) in this statistical analysis was: (5).
Researchers and journals need to be more rigorous in providing statistical information including: degrees of freedom for error terms, treatment variances, standard error of differences or similar to enable readers to compare treatment effects.
Test-retest reliability of pre-test Short Form McGill Pain Questionnaire scores (SPRI, APRI, Total PRI, VAS, and Overall Intensity of Total Pain Experience) was assessed by Intraclass Correlation Coefficients (ICC) [ 15]: (1) Where and ; DF - degree of freedom for error term related to the independent variables of "subject", different "test", "repeat" and the overall "error" term.
Critical values for the number of means in the range between and including the means being tested are obtained from the tabulated upper percentage points of the studentized range with 120 degrees of freedom for error.
The IHC scores of the different tumor grade groups and the non-cancerous group were evaluated by ANOVA (single-factor) with ranked prostasin staining data (rank 1 = no staining, rank 2 = positive staining), yielding an F ratio of 15.46 (F critical = 2.74, p = 8.57E-08, and within-group degrees of freedom for error at 69).
Monte Carlo studies have shown that it is permissible to use ANOVA on dichotomous data under controlled conditions [37], which are met by our experiments (equal cell frequencies and at least 40 degrees of freedom of the error term).
Monte Carlo studies have shown that it is permissible to use ANOVA on dichotomous data only under controlled conditions [43], which are met by our experiments (equal cell frequencies and at least 40 degrees of freedom of the error term).
Second, we provide a solution to the problem of unknown required degrees of freedom by Error-Adaptive Knot Insertion (EAKI).
Precision is a term that describes an instrument's degree of freedom from random errors.
Quite intuitively, the loss of degrees of freedom for the error becomes relatively more important the lower the sample sizes.
where α is the level of risk, Ve is the error variance, νe is the degrees of freedom for the error, η eff is the effective number of replications, and r is number of test trials.
