The largest database of trusted experimental protocols

Spss 10.0 statistical software package

Manufactured by IBM
Sourced in United States

SPSS 10.0 is a comprehensive statistical software package developed by IBM. It provides a wide range of analytical tools and techniques for data management, exploration, modeling, and reporting. SPSS 10.0 is designed to assist researchers, analysts, and professionals in conducting statistical analyses and interpreting data from various sources.

Automatically generated - may contain errors

Lab products found in correlation

4 protocols using spss 10.0 statistical software package

1

Correlation of miR-15b and BACE1 Expression

Check if the same lab product or an alternative is used in the 5 most similar protocols
Each experiment was performed as least three times and the data are expressed as the mean ± standard error. For the analysis of miR-15b and U6, BACE1 and β-actin in mRNA or in protein level in protein level, between two groups, and data were analyzed using the Student’s t test. The nonparametric Pearson’s correlation test was performed to evaluate the correlation of miR-15b with the BACE1 mRNA level. A statistical significance was considered when P < 0.05. P<0.05 was considered to indicate a statistically significant difference. All statistical analyses were performed using the SPSS 10.0 statistical software package (SPSS, Inc., Chicago, IL, USA).
+ Open protocol
+ Expand
2

Correlation of miR-124 and BACE1 Expression

Check if the same lab product or an alternative is used in the 5 most similar protocols
Each experiment was performed as least three times and the data are expressed as the mean ± standard error. For the analysis of miR-124 and U6, BACE1 and β-actin in mRNA or in protein level in protein level, between two groups, and data were analyzed using the Student’s t test. The nonparametric Pearson’s correlation test was performed to evaluate the correlation of miR-124 with the BACE1 mRNA level. A statistical significance was considered when P < 0.05. P<0.05 was considered to indicate a statistically significant difference. All statistical analyses were performed using the SPSS 10.0 statistical software package (SPSS, Inc., Chicago, IL, USA).
+ Open protocol
+ Expand
3

Statistical Analysis of Experimental Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
All statistical analyses were performed using the SPSS 10.0 statistical software package (SPSS, Inc., Chicago, IL, USA) and data were expressed as the mean ± standard deviation. The differences between experimental conditions were compared individually using Student's t-tests. Comparisons within groups underwent P-values were calculated using one-way analysis of variance (ANOVA) followed by Tukey's post hoc test, two-way ANOVA followed by Tukey's post hoc test or Bonferroni's tests, or paired t-tests. P<0.05 was considered to indicate a statistically significant difference.
+ Open protocol
+ Expand
4

Statistical Analysis of Experimental Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data are presented as mean values ± SD. Differences between groups were analyzed by one-way ANOVA (SPSS 10.0 statistical software package, SPSS Inc., Chicago, IL) in all assays. P<0.05 was considered statistically significant.
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!