SPSS for windows 24.0 statistical analysis software will be used for calculation, and normality test and homogeneity test of variance will be performed on each group of data. For measurement data in which the data conforms to the normal distribution, we will use the mean ± standard deviation. For nonnormally distributed measurement data, the median ± quartile interval is used. General data comparison between the two groups using independent sample T test. Comparisons before and after treatment will be performed using t test for paired data. One-way analysis of variance will be used for comparison between groups. X2 test will be used for count data, and nonparametric rank sum test will be used for rank data. All statistical tests are two-sided. P < .05 indicates a significant difference.
Spss for windows 24.0 statistical
Manufactured by IBM
SPSS for Windows 24.0 is a statistical software package designed to analyze data. It provides a range of tools for data management, analysis, and presentation. The software is intended to assist users in performing statistical operations, including descriptive statistics, regression analysis, and hypothesis testing.
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Lab products found in correlation
4 protocols using spss for windows 24.0 statistical
1
Statistical Analysis for Biomedical Research
2
Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
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SPSS for windows 24.0 statistical analysis software will be used for calculation, and normality test and homogeneity test of variance will be performed on each group of data. For measurement data in which the data conforms to the normal distribution, we will use the mean ± standard deviation. For non-normally distributed measurement data, the median ± quartile interval is used. General data comparison between the 2 groups using independent sample t test. Comparisons before and after treatment will be performed using t test for paired data. One-way analysis of variance will be used for comparison between groups. X2 test will be used for count data, and nonparametric rank sum test will be used for rank data. All statistical tests are two-sided. P < .05 indicates a significant difference.
3
Statistical Analysis of Research Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
SPSS for windows 24.0 statistical analysis software will be used for calculation, and normality test and homogeneity test of variance will be performed on each group of data. For measurement data in which the data conforms to the normal distribution, we will use the mean ± standard deviation. For non-normally distributed measurement data, the median ± quartile interval is used. General data comparison between the two groups using independent sample t test. Comparisons before and after treatment will be performed using t test for paired data. One-way analysis of variance will be used for comparison between groups. X2 test will be used for count data, and nonparametric rank sum test will be used for rank data. All statistical tests are two-sided. P < .05 indicates a significant difference.
4
Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
SPSS for windows 24.0 statistical analysis software will be used for calculation, and normality test and homogeneity test of variance will be performed on each group of data. For measurement data in which the data conforms to the normal distribution, we will use the mean ± standard deviation. For non-normally distributed measurement data, the median ± quartile interval is used. General data comparison between the 2 groups using independent sample t test. Comparisons before and after treatment will be performed using t test for paired data. One-way analysis of variance will be used for comparison between groups. X2 test will be used for count data, and nonparametric rank sum test will be used for rank data. All statistical tests are two-sided. P < .05 indicates a significant difference.
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