Examples of using Mean differences in English and their translations into Spanish
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Results were presented using standardized mean differences.
We calculated weighted mean differences(WMD) for continuous data.
Student's t test was used to determine mean differences.
We calculated mean differences(MDs) using a random-effects model.
For continuous data,we calculated weighted mean differences(WMD).
Table 3 Mean differences in alcohol consumption according to age level.
Measures of effect are expressed as standardised mean differences(SMDs).
No latent mean differences were found across sex, but did occur through age in AA and GA factors.
We analyzed outcomes as risk ratios(RRs) or mean differences(MDs).
This may also mean differences between subnational development plans and subnational statistical development plans.
For continuous data we calculated weighted mean differences(WMD) and their 95% confidence intervals.
In this link you can download the sample code to calculate mean differences.
In this case,varieties with mean differences greater than, or equal to, 3.6 are regarded as distinct marked D above.
Let's view now the two functions from the examples that can be used to calculate mean differences.
In the case of variety C2,varieties with mean differences greater than, or equal to 3.19 are regarded as distinct marked D above.
To not to overextend this article,we will see only a few examples applied to the calculation of percentages and mean differences.
With this function the data is grouped by the levels of a number of factors andwee compute the mean differences within each country, and the mean differences between countries.
Readministration of the SB5 can occur in a six-month interval rather than one year due to the small mean differences in reliability Bain& Allin, 2005.
In this post you can download the R code samples to work with plausible values in the PISA database,to calculate averages, mean differences or linear regression of the scores of the students, using replicate weights to compute standard errors.
Replicated weights should be used to calculate standard errors when computing any other estimator,such as percentages, mean differences, regression coefficients, correlation coefficients, etc.
In this post you can download the R code examples to compute the standard errors of the mean, standard deviation,proportions or mean differences, on the data of the PISA database, using the replicate weights method.
The most outstanding means differences were those between psychology and nursing students.
G= relative mean difference divided by two.
The smallest mistake can mean difference between a small recovery and a large one.
For continuous outcomes,we calculated the mean difference(MD) between groups.
We also report the mean difference for each type of instrument separately.
This is the mean difference because there is just one pair.
Diversity means differences and inclusion means our ability to include differences. .
This is the mean difference(there are only two incomes, as before).
The sample mean difference(MD) is computed as follows.