Examples of 'student t-test' in a sentence

Meaning of "student t-test"

The student t-test is a statistical test used to determine whether there is a significant difference between the means of two groups or samples. It is commonly employed in research studies, experiments, and data analysis to compare the average values of two populations or treatments and assess the likelihood of the observed differences occurring by chance

How to use "student t-test" in a sentence

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student t-test
Student t-test was used for statistical analysis.
Statistical analysis was performed using the student t-test.
Student t-test was used to determine statistical significance.
All data are normalised and assessed using an independent student t-test.
The student t-test was employed to compare the means.
The results were show to be statistically significant using a student t-test analysis.
The paired student t-test was used for statistical analysis.
The results were analyzed for statistical significance using paired student t-test.
Student t-test assessed differences between the same formulation with different ph.
The results were evaluated using variance analysis and the student t-test was applied.
The statistical student t-test did not discriminate stroke vs. controls plasma samples.
Correlations were calculated using classification matrices, and their significance by the the student t-test.
A student t-test was also calculated to state the significance of the difference between diets.
The comparison of parametric data between the groups was performed with the independent student t-test.
The Student t-test was used for statistical analyses.

See also

The demographic data were analyzed by Student t-test.
The Student t-test has been used for first order comparisons.
Statistical significance was determined using Student t-test.
The Student t-test of summary data was used to compare different treatment groups.
Statistical significance was assessed using a Student t-Test.
Student t-test was used to compare the means of groups where applicable . Results.
Significance is based on a two sided student T-test.
The Student t-test was applied to comparatively evaluate the groups in respect to qualitative data.
P values as determined by Student t-test are indicated.
Differences between genotypes were calculated using the Student t-test.
To compare means between groups, the Student t-test was applied for independent samples.
Continuous variables were compared using the Student t-test.
The non-matched Student t-test was used for comparative analysis of the patient groups.
The p values were obtained by Student t-test.
Statistical analysis Student t-test was used to analyze the significance between the two groups.
Statistical analyses were performed using the Student t-test.
Parametric data were compared by the Student t-test and non-parametric data by the Wilcoxon test.
The results were analysed by the standard Student t-test.
Student t-test was used to compare mean QOL general indices and their domains between genders.
The two groups were compared using the Student t-test.
The Student t-test was used for between-group comparison of mean squeeze and resting pressure.
The slope and intercept were investigated with a Student t-test.
The comparative tests used the Student t-test and the chi-square and variance analysis tests.
Statistical treatment was performed using ANOVA and student t-test.
The significance was calculated by Student t-Test using GraphPad Prism software.
The difference in parametric data was compared with the Student t-test.
Statistical Analysis Two tailed student t-test was carried out using JMP software.
To compare the variables between the groups we ran the Student t-test.
The student T-Test was used to calculate p values, Fig.
Statistical evaluation was performed by Student t-test and related to placebo.
The statistical analyses of the various pharmacological experiments consist of a Student t-test.
The tests used for the analysis were the Student T-test and the Fisher exact test.
The average scores obtained on these scales were compared using the Student t-test.
The Student t-test to compare the means of the two groups ;.
These variables were compared within groups by the Student t-test for paired samples.

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