The results were statistically analysed using IBM SPSS Statistics Base 22.0 for Windows. Arithmetic mean (M) and standard deviation (SD) were calculated for quantitative variables. Data were presented as M ± SD. Qualitative attributes were described as absolute (n) and relative (%) values. Coefficients of variability were calculated. The Kolmogorov-Smirnov method was used to check the normality. The Student’s T test was used to compare the mean values. Treatment adherence, frequency, mean, median and standard deviations were calculated by the sum of the treatment adherence scale scores. Differences between the examined indices were considered statistically significant at p ≤ 0.05.
Spss statistics base 22.0 for windows
Manufactured by IBM
SPSS Statistics Base 22.0 for Windows is a software package designed for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and reporting. The software is capable of performing a wide range of statistical procedures, including descriptive statistics, regression analysis, and hypothesis testing.
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Lab products found in correlation
2 protocols using spss statistics base 22.0 for windows
1
Statistical Analysis of Research Protocols
2
Meat Quality Analysis via ANOVA
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An analysis of variance was performed on meat quality data using the IBM SPSS Statistics Base 22.0 for Windows. Descriptive statistics were generated for all the variables in the dataset. The analysis was carried out using a t-test of independent samples with variable grouping of breast and drumstick portions.
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