Spss statistics v 22.0.0.1 for windows

The statistical analysis of the data was performed using IBM SPSS Statistics v. 22.0.0.1 for Windows (IBM Corp., Armonk, NY, USA).
At month 0, a multivariate step-wise linear discriminant analysis was carried out to determine whether the fresh crab sticks and those frozen by different methods can be distinguished and, in this case, which quality attributes are the best to explain the differences among them.
To test the main effects of the freezing conditions and the storage time on the quality attributes of the thawed crab sticks, a two-way analysis of variance (ANOVA) was performed on the data by using the General Linear Model procedure of the statistical software. The significance level was set at 5%. A Tukey-b test was applied for post-hoc comparisons.

Statistical analysis of the quality indicators was performed using IBM SPSS Statistics v. 22.0.0.1 for Windows (IBM Corp., Armonk, NY, USA). After a one-way analysis of variance (ANOVA), significant differences among means were determined by a Tukey-b multiple range test in those cases in which the prerequisite of homogeneity of variances was fulfilled. Otherwise, a
Tamhane's post hoc test was employed. The significance level was set at 5%.
Innovative Food Science and Emerging Technologies 41(2017) 19-25. DOI: 10.1016/j.ifset.2017.01.003
The results of the triangle tests were analyzed by comparing the sum of correct responses obtained in the tests with the minimum number of correct replies that are necessary for a significant result, according to the binomial distribution, given a particular number of panelists.
When the number of correct responses was greater than or equal to this minimum value, the null hypothesis ('difference between samples does not exist') was rejected.