Sentences with phrase «t test between»

Paired samples t test between baseline and follow up assessment yielded no statistically significant differences at two times period (Table 6).

Not exact matches

Only a CIR Blood Test (Carbon Isotope Ratio) can differentiate between Synthetic & Natural Testosterone & to give an example the difference between 400 NG / DL T - Level & 900 NG / DL is the difference between battling a strong man & a Gorilla & WADA labs do Not use CIR testing — USADA does use the CIR

The tests look for differences in the DNA nucleotides adenosine, thymine, guanine, and cytosine (A, T, G, and C — the letters of the genetic code) between one person and another, or between one group of people and another group.

A two - way ANOVA revealed that there was no interaction between temperature and ablation of antennae (n.s. = non-significant, P = 0.15), and then Student's t - test was conducted for intergroup comparison (**, P < 0.01).

Asterisks indicate a significant difference between heat - exposed and control workers within the same tissues (**, P < 0.01; Student's t - test).

Differences between experimental groups were analysed by two - tailed unpaired Student's t - test, non-parametric Mann — Whitney U test or one - way ANOVA with Dunnett post-test as indicated.

An unpaired t test was performed to compare between two groups at a single time point.

Two - tailed t - test was used to evaluate the significance of the results between two samples.

Other differences between experimental groups were analyzed using a two - tailed unpaired Student t test.

Unpaired Student's t test or one - way ANOVA with a post-hoc Tukey's test was performed, as appropriate, to determine significant differences between groups.

Correlations between firing rates and preferred amplitudes, however, were significantly different from zero (t - test, p < 0.005).

t - test was used to compute probabilities for comparisons of mean age and mean body mass index between study groups.

For the comparison of the ROC curves, we focused on the sensitivity, comparing the sensitivity between different technologies and samples with paired two - sample Student's t - tests.

Differences in subject characteristics between groups were assessed via t - test for continuous variables and Chi - squared test for categorical factors.

Statistical significance was measured using parametric testing, assuming equal variance, in the majority of experiments with standard t tests for 2 paired samples used to assess difference between test and control samples.

Post hoc t - tests using a Bonferroni correction were used to establish the spatial frequencies at which the difference between both directions was significantly different.

Differences between groups were evaluated by Student's t - test (C) or one - way ANOVA (D).

Data are shown as mean ± SEM; statistical analysis was performed with t test, between each experimental condition and the untreated control; * P < 0.05, ** P < 0.01, *** P < 0.001.

Furthermore, a paired t - test that compared brain activity of 4 - mm radii of the peak coordinate identified by the comparison between individuals with ASD at the placebo session and typically developing participants showed a significant increase of the originally - diminished brain activity in the oxytocin session compared with placebo [t (19) = 2.716, r2 = 0.28, P = 0.007, one - tailed](Supplementary Fig. 1A).

Differences between high - and low - GI meals were significant at 4 h (the time point of interest) for all 3 outcomes by using paired t tests.

Furthermore, unpaired t - tests were used to detect differences in age, body mass index, energy expenditure and intensity between men and women.

To address our primary and secondary outcomes, paired t - tests were used to identify differences in energy expenditure and intensity between sexual activity and the 30 minute exercise session in both men and women.

The interaction between group and time was significant for the abdominal endurance test, F (1,22) = 5.98, p = 0.02, and post hoc analysis suggest a significant increase of 5.5 ± 7.3 curl - ups from pre to posttesting in CG, t (9) = − 2.38, p = 0.04, ES = 0.38, and a significant increase of 14.6 ± 10.0 curl - ups from pre to posttesting in AG, t (13) = − 5.45, p = 0.001, ES = 0.69.

Also, what I really like is that not only can you test the weight before you buy a real one (although I think the t - bar - bell will do me just fine), but it's also nice to be able to switch weights easily between my girlfriend and I.

We then conducted a one - tailed t - test across each of the seven TPACK domains between the first and second administration of the survey for all participants with a pre - and posttest (N = 26).

A t - test showed the difference in confidence between the two groups was significant at the midpoint check, t (39) = 2.0842, p =.04.

Also there were some testings in Germany with tuned 991 Turbos (between 600 and 700hp, different tuners) and the cars weren t faster then the factory.

Called the «2016 Nissan Maxima Test Track Challenge,» AMCI Testing was contacted as an objective, independent third - party testing organization to explore and certify differences in Buttonwillow Raceway closed course lap performance between the 2015 Acura TLX 3.5 (FWD) with Technology Package, 2015 Audi A4 2.0 T quattro ® Premium Plus Tiptronic, 2015 BMW 328i sedan and the 2016 Nissan MaxiTesting was contacted as an objective, independent third - party testing organization to explore and certify differences in Buttonwillow Raceway closed course lap performance between the 2015 Acura TLX 3.5 (FWD) with Technology Package, 2015 Audi A4 2.0 T quattro ® Premium Plus Tiptronic, 2015 BMW 328i sedan and the 2016 Nissan Maxitesting organization to explore and certify differences in Buttonwillow Raceway closed course lap performance between the 2015 Acura TLX 3.5 (FWD) with Technology Package, 2015 Audi A4 2.0 T quattro ® Premium Plus Tiptronic, 2015 BMW 328i sedan and the 2016 Nissan Maxima SR..

The statistical method used for comparison between categorical data was chi2 test and comparison for continuous data was with student's t - test.

Statistical significance between the experiments and the control is tested using a student's t - test and significance is determined using resultant p values, where a p value less than or equal to 0.05 allows rejecting the null hypothesis that the differences should be zero.

Dynam., 3, 173 — 188, 2012 To avoid spurious correlations the statistical tests show that the [CO2] serie must be differentiated once before being compared to T (t) hence the only possible relation is between d [CO2] / dt and T (tT (t) hence the only possible relation is between d [CO2] / dt and T (tt) hence the only possible relation is between d [CO2] / dt and T (tT (tt)

This assumed covariation has been demonstrated incompatible with the data series of T (t) an [CO2](t); the only possible correlation is between d [CO2](t) / dt and T (t) according to statistical tests well known in econometricT (t) an [CO2](t); the only possible correlation is between d [CO2](t) / dt and T (t) according to statistical tests well known in econometrict) an [CO2](t); the only possible correlation is between d [CO2](t) / dt and T (t) according to statistical tests well known in econometrict); the only possible correlation is between d [CO2](t) / dt and T (t) according to statistical tests well known in econometrict) / dt and T (t) according to statistical tests well known in econometricT (t) according to statistical tests well known in econometrict) according to statistical tests well known in econometrics

Hatching indicates changes between the two periods that are significant at the 10 % level for the mean (using a Student's t - test) and the variance (using an f - test) of the distribution.

[T] he CDC issued a statement saying that investigators had found that four cultures of ground turkey taken from four retail locations between March 7 and June 27 tested positive for this strain of salmonella.

Primary production (figure 3b) did not differ between present and future ocean conditions (t - test t9 = 0.29, p = 0.78 at 215 generations; t10 = 0.44, p = 0.67 at 703 generations).

POC content (figure 2b) did not dramatically differ between present and future ocean conditions at 215 and 414 generations (t - test t20 = 2.7, p = 0.02 at 215 generations, t - test with Welch correction, t16 = 1.5, p = 0.15 at 414 generations), though values were between 10 and 28 % higher in the future ocean condition (table 4).

PIC: POC cell − 1 (table 4) did not differ between treatments at any generation point (t - test t14 = 0.35, p = 0.74 at 215 generations; t22 = 1.8, p = 0.09 at 414 generations; t22 = 0.98, p = 0.34 at 703 generations).

«The gap in network quality between the top four carriers is narrowing and will continue to do so as Sprint and T - Mobile further invest in their respective networks,» said Haven, who added that the next big test for carrier performance will happen when more advanced wireless technology is introduced, namely 5G.

Paired t tests revealed significant improvements in target parenting behaviors between baseline and session 2 and between sessions 2 and 4.

aChild Behavior Checklist for 4 - 18 years; bChildren who are currently visiting their father who perpetrated intimate partner violence and already separated from their mothers; cThe prevalence was calculated using the cut - off points of the CBCL and represents the scores that are clinical; dStudent - t test was used to compare the scores between the both groups; e Fisher's exact test was used to compare the prevalence of the children classified as clinical using the cut - off points of the CBCL.

To compare the scores and rates on the CBCL between the children who were currently visiting their fathers and those who were not, Student's t tests and Fisher's exact tests were used.

We calculated χ2 statistics, t tests, and correlation coefficients to analyze the bivariate associations between each potential predictor variable (anthropometric and psychosocial family characteristics) and the 2 criteria of long - term weight change: success versus failure in weight reduction up to the 12 - month follow - up and weight change between the conclusion of treatment and the 12 - month follow - up.

Characteristics of the sample are presented as means and SDs or frequencies and percentages, and distributions were compared between males and females using the Student's t - test for continuous measures and the χ2 test for categorical variables.

Differences between child and caregiver - reported scores were determined by t - tests.

they compared the levels of depressive symptoms or the frequency of depression diagnoses between children and adolescents with chronic physical illness and their healthy peers or test norms, or they provided sufficient information for a comparison with established normative data (e.g., by reporting standardized T - scores),

Results of grouped t tests and Mann - Whitney U tests to show t or z values, degrees of freedom, and p values for the differences in the changes in scores from baseline to follow up between the control and intervention group

Analysis was conducted on an intention to treat basis using paired t tests and Wilcoxon matched pairs signed rank test (as appropriate for the distribution of scores) to calculate the significance of differences between baseline and follow up scores within groups.

Results of grouped t tests and Mann - Whitney U tests to show t or z values, degrees of freedom, and p values for the significant differences in the changes in scores between the control and intervention group

Grouped t tests and Mann - Whitney U tests were used to calculate the significance of between group differences.

t - tests were carried out to test differences on demographic variables such as gender, location, and family type; correlation analyses were used to assess the relationships between these variables.