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at 97.97 % instead of 95 %(passive) is setThe individual confidence interval level
Since group samples have reduced standard deviation compared to the original epithelial cell population , they are expectedto causeunderestimation of the sample size needed for statistical testing
errorto finally setsample size problem
the choice of the sampleinfluencesthe confidence interval to use
at 99.7th percentile(passive) will be setConfidence interval to sample for margin
A choice of small sample sizes , though sometimes necessarycan resultin wide confidence interval Confidence interval In statistics
The sample size of the groupinfluencesthe size of the confidence interval
to 95 % where a corresponding p - value threshold was identified as 0.05 and any output of p below 0.05 would be interpreted as an indicator of statistical significance(passive) was setA confidence interval level
the factorsinfluencepower ( I.E. , sample size
the option ALPHARMS=(passive) can be set byThe size of the confidence interval
the option ALPHAECV=(passive) can be set byThe size of the confidence interval
a variety of factors such as number of farms sampled and the variability of incomes within sampled farms(passive) is influenced bythe size of a confidence interval
a number of factors including population variability or population size(passive) may be influenced byThe size of a confidence interval
random error of direct measurementsetfor a given confidence interval
direct measurementsetfor a given confidence interval
A choice of small sample sizes , though sometimes necessarycan resultin wide confidence interval Confidence interval
so that most of the possible results will be within that range(passive) can be seta confidence interval. Confidence intervals
usually(passive) is ... setConfidence interval CI
15 Factorsinfluencesample size for substantive testing
Data analysis methodsmay influencechoice of sample size
CI ) level(passive) was setA confidence interval
so that before the data are collected there is a 95 % chance that the interval will contain the true value of the parameter(passive) is setA confidence interval
Strict Searchresultsfor ' confidence interval
a closed formula that requiressettingthe sample size in advance
mobile phone coverage in Ghana , Nigeria , and Tanzanialedto the topic of sample size
an association between homicide rate and the amounts of mobile phone coverage in Ghana , Nigeria , and Tanzanialedto the topic of sample size
Factorsinfluencingdetermining sample size
Study one(passive) is designedSample size
each additional studywould ... contributeto the sample size
with 80 % power(passive) was designedSample size
The study(passive) was designedSample size
also the I Type Error isinfluencedby the sample size
The need for statistical testsinfluencedby sample size
Sensitivity ... # of factorsinfluencessample size
the factorsinfluencesample size
factorsinfluencingsample size
# of factorsinfluencessample size
the factorsinfluencingsample size
Factorsinfluencesample size
the factorswill influencesample size
the sampling distribution of tocausesthe sampling distribution of to
to serve mostly other purposesdesignedto serve mostly other purposes
spans from 45 to 55 with a confidence coefficient of 0.95setspans from 45 to 55 with a confidence coefficient of 0.95
our studywas designedour study
higher errorcauseshigher error
other variablesinfluencesother variables
a changecan prompta change
the margin of errorinfluencethe margin of error
to 99is setto 99
the quality of the estimatorcan influencethe quality of the estimator
in an increased sample size which at some point can be either financially unfeasible or physically unfeasiblehence resultingin an increased sample size which at some point can be either financially unfeasible or physically unfeasible
from boostrapped sampling of each subgroup ( gender within a groupresultsfrom boostrapped sampling of each subgroup ( gender within a group
effect estimates(passive) influenced byeffect estimates
of as many participants as possiblecomposedof as many participants as possible
to the interval X c.leadingto the interval X c.
at 95 %setat 95 %
to 95 %setto 95 %
forthsetsforth
to account for measurement errordesignedto account for measurement error
upper and lower bounds on the likelihood that the variation in your data is duesetsupper and lower bounds on the likelihood that the variation in your data is due
to be taken etcresultsto be taken etc
upper and lower bounds on the likelihood that the variation in your data issetsupper and lower bounds on the likelihood that the variation in your data is
upper and lower bounds on the likelihood that the variation in your datasetsupper and lower bounds on the likelihood that the variation in your data
upper and lower bounds on the likelihood that the variation in your data is due to chancesetsupper and lower bounds on the likelihood that the variation in your data is due to chance
to the cheerleader effect , whereby observers are primed by the numerosity of group size to give higher attractiveness ratings to faces presented in a groupcontributesto the cheerleader effect , whereby observers are primed by the numerosity of group size to give higher attractiveness ratings to faces presented in a group
the upper and lower bounds of the likely true resultsets forththe upper and lower bounds of the likely true result
upper and lower boundssetsupper and lower bounds
upper and lower boundssetsupper and lower bounds
from random fluctuations in the measurement processresultsfrom random fluctuations in the measurement process
to intervals whose lengths are typically shorterleadsto intervals whose lengths are typically shorter
for complications possibly caused by a drug has serious movementis designedfor complications possibly caused by a drug has serious movement
the threshold for error rates , or identifying the direction of focus for testing ( e.g. , types of claims or contractssettingthe threshold for error rates , or identifying the direction of focus for testing ( e.g. , types of claims or contracts
to an under- or overpredictionleadsto an under- or overprediction
any error(passive) caused byany error
An increase in error(passive) can be caused byAn increase in error
the power of statistical test(passive) is influenced bythe power of statistical test
how statistical power(passive) is influenced byhow statistical power
a small but statistically significant difference(passive) caused bya small but statistically significant difference
to reduced precision in the estimates of the population parametersleadsto reduced precision in the estimates of the population parameters
in trials that are underpowered to detect significantresultingin trials that are underpowered to detect significant