Sentences with phrase «samples t tests for»

Initial analyses examined potential differences in participant characteristics and demographics across intervention groups at baseline by using independent samples t tests for continuous variables and χ2 analyses for categorical variables.

Not exact matches

After reserving the first year for initial momentum calculations, they segment each sample into halves for in - sample optimization of B and T and out - of - sample testing.

Second, comparisons in milk waste data were studied using an unequal sample size, unequal variance t - test and the degrees of freedom for the test were calculated using the Welch - Satterthwait equation [21].

A paired - samples t - test demonstrated significant differences with small to medium effect sizes in the before and after scores for all three subscales.

Searching for T cells that had infiltrated the tumors, they collected as many as 50 T cell samples from a single tumor; next, the team tested each batch of T cells against other tumor samples from the same patient.

The functional brain networks showed a clear small - world organization, expressed by λ ≈ 1 (c) and γ ≫ 1 (d) for T ≥ 0.3 (1 - sample t test, df = 18, all p < α of 0.01, Bonferroni corrected for multiple comparisons of T)T ≥ 0.3 (1 - sample t test, df = 18, all p < α of 0.01, Bonferroni corrected for multiple comparisons of T)t test, df = 18, all p < α of 0.01, Bonferroni corrected for multiple comparisons of T)T).

Student's t tests excluding the outlier indicated a p - value of < 0.04 for the remaining five pandemic H1N1 samples compared with the IgG memory and germinal center (GC) cells or the primary IgG plasmablast responses (0.2 with EM included) and a p - value of < 0.0001 against the IgM populations.

The functional brain networks showed a clear small - world organization for 0.3 ≤ T ≤ 0.5 (Fig. 1a — d), expressed by L ≈ Lrandom and λ ≈ 1 for T ≤ 0.5 and C ≫ Crandom and γ ≫ 1 for T ≥ 0.3 (one - sample t test, all p < α of 0.01, Bonferroni corrected for multiple comparisons of T, df = 18), indicating a small - world organization (Sporns et al., 2004; Stam, 2004; Achard et al., 2006; van den Heuvel et al., 2008b)T ≤ 0.5 (Fig. 1a — d), expressed by L ≈ Lrandom and λ ≈ 1 for T ≤ 0.5 and C ≫ Crandom and γ ≫ 1 for T ≥ 0.3 (one - sample t test, all p < α of 0.01, Bonferroni corrected for multiple comparisons of T, df = 18), indicating a small - world organization (Sporns et al., 2004; Stam, 2004; Achard et al., 2006; van den Heuvel et al., 2008b)T ≤ 0.5 and C ≫ Crandom and γ ≫ 1 for T ≥ 0.3 (one - sample t test, all p < α of 0.01, Bonferroni corrected for multiple comparisons of T, df = 18), indicating a small - world organization (Sporns et al., 2004; Stam, 2004; Achard et al., 2006; van den Heuvel et al., 2008b)T ≥ 0.3 (one - sample t test, all p < α of 0.01, Bonferroni corrected for multiple comparisons of T, df = 18), indicating a small - world organization (Sporns et al., 2004; Stam, 2004; Achard et al., 2006; van den Heuvel et al., 2008b)t test, all p < α of 0.01, Bonferroni corrected for multiple comparisons of T, df = 18), indicating a small - world organization (Sporns et al., 2004; Stam, 2004; Achard et al., 2006; van den Heuvel et al., 2008b)T, df = 18), indicating a small - world organization (Sporns et al., 2004; Stam, 2004; Achard et al., 2006; van den Heuvel et al., 2008b).

First, in order to see if the used olfactory stimuli differed in their perceived pleasantness and intensity, the pleasantness and intensity scores of the olfactory stimuli were analyzed with a t - test for independent samples.

The «two - sample t test» function was used for all calculations, with the critical comparison in each study used to calculate power.

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.

After checking for normality using the Shapiro - Wilk test, one - sample t - tests were conducted to compare the overall mean sensitivity against chance - level (0.5), and mean bias against 0, as well as paired t - tests to compare mean sensitivity and bias for the two LEVELS OF EMBEDDING separately.

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.

When comparing all technologies, the overall best sensitivity was achieved by HiSeq2000 (99.15 % for sample MB24) followed by Complete Genomics (98.38 % sensitivity)(paired t - test on percentage sensitivity comparing Complete Genomics 50x and HiSeq2000 30x, p = 0.008651).

The researchers used an unpaired samples t - test for comparing pre - and post-program surveys and analyzed qualitative data using coding to identify emergent themes, a model building method, and triangulation to ensure the reliability and validity of findings.

On this «sample» product which was not updated and not refreshed for these tests we could not get 3DMark06 to complete successfully but you should expect scores around 1500 based on other Baytrail - T platforms we've tested.

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.

Independent sample t - tests and... multiple regression analyses were conducted to examine gender differences in strain, need for supports, social support, and quality of life.

Comparison of variables was by non-parametrical χ2 test or Fisher's exact test, or t - test for independent samples.

Exploratory, paired sample t - tests will be used to test for change in outcomes between 6 and 12 months, and between 12 and 18 months.

For continuous measures, mean differences were tested with Student's t test for independent samplFor continuous measures, mean differences were tested with Student's t test for independent samplfor independent samples.

T - tests were used to assess the significance of the differences between the two independent samples for each variable.

For mean scores, differences were tested using Student's t test for independent samplFor mean scores, differences were tested using Student's t test for independent samplfor independent samples.

The paired - samples t test that was calculated for this analysis indicated that pre-test perceptions of the physical attractiveness of a male dater yielded a mean of 4.65 (sd = 1.21) on a 7 - point continuum whereas post-test perceptions of the physical attractiveness of a male dater yielded a mean of 4.71 (sd = 1.32) on a 7 - point continuum.

The paired - samples t test that was calculated for this item demonstrated that pre-test perceptions of the physical attractiveness of a female dater were 4.85 (sd = 1.24) before negative communication ensued while post-test perceptions of the physical attractiveness of a female dater were 4.39 (sd = 1.49) after negative communication ensued.

By Professor Nock's standard, we would throw out a good portion of research in medicine that uses inferential statistics (e.g., all of those that conduct t - tests or chi - square tests for treatment effects on small non-probability samples).

First, to address aim 1, descriptive statistics were used to examine the number, duration, forms, and frequency of interactions, and positive and negative friendship qualities with friends with and without CF. Mean differences in number of friendships with peers with versus without CF for the full sample were examined with paired - samples t - tests; paired - samples t - tests examining the remaining friendship indices (duration, interactions, and quality) were conducted among those participants who endorsed the presence of both types of friendships.

Chi - square and independent sample t - tests were first calculated for univariate comparisons of demographic characteristics.

The statistical analysis of the gathered data utilized the statistical package for social sciences — SPSS 21 for Windows, applying Chi - square test (X2) for comparing the frequency distributions, t - test for comparison of two independent samples, and Pearson coefficient for correlation (r) for calculating the relationship between the variables.

Paired - samples t tests showed that the PPD mothers reported significantly less externalizing problems for their daughters than the teachers did (p <.05).

Instead, a representative sampling of significant findings were reported in table format, although coefficients and accompanying t tests of significance are reported in the text for all significant findings.

In this study, we employed one - sample t - tests to test for differences between the various measure mean scores obtained here and mean scores found in other studies.

Sample descriptive for all variables in the total sample and in the DBD − and DBD + subgroups and their differences using tSample descriptive for all variables in the total sample and in the DBD − and DBD + subgroups and their differences using tsample and in the DBD − and DBD + subgroups and their differences using t tests

In order to compare the mean scores obtained in this study to overall mean scores from the literature, one - sample t - tests were used (see Appendix A for a list of studies and values from the literature).

Focus group method was deployed to collect the data via un-restricted non-probability sampling approach; data was quantified for evaluating the hypotheses via t - test of equality of means.

Independent sample t - test (t - test for equality of means) was used after splitting the data country wise, to evaluate the hypotheses of this study which were formulated after finding the gap in the existing literature, which include:

Australian participants completed an anonymous online survey, and overall means were calculated for each group and compared using independent samples t tests.