Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Sampling sample size

Sample Sample size size code letter"... [Pg.39]

Weigh accurately a 5 to lOg portion of the sample (sample size shall be in accordance with the... [Pg.149]

Used for small quantity of samples. Sample size can be controlled by monitoring time over each collector [7]. [Pg.1176]

PROCEDURES which follow 4.3 TEST METHODS AND PROCEDURES 4.3.1 Determination of Moisture in EGDN by Karl Fischer. Weigh accurately a 5—lOg portion of the sample (sample size shall be in accordance with the strength of the Karl Fischer reagent) of the EGDN into a tared narrow-necked stoppered flask. Titrate directly until a brown tinge persists in the soln for 30 seconds (Poten-tiometric endpoint indicators may also be used in titration with Karl Fischer reagent). Calculate as follows ... [Pg.139]

Identification Sample Sample Size (mg carbon) Counting Mode Measured ratio (R) Radiocarbon Age years B.P.)... [Pg.344]

With coulometric Karl Fischer titrations, the iodine is generated electrochemically at the anode. This is a much more accurate technique for measuring water content in a sample. Sample sizes are much smaller compared with those for volumetric Karl Fischer titrations. [Pg.94]

Capillary zone electrophoresis (Chapter 31) at the present time provides the ultimate in separation capability and uses the smallest samples. Sample sizes of nanoliters are usual in a capillary 50 pm in diameter and 30 cm long. [Pg.298]

Sample Sample size Mean Standard deviation 95.0% Confidence interval Log reduction from baseline Percent reduction from baseline... [Pg.113]

The number of samples required to estimate the sample mean to some degree of precision or uncertainty is an important aspect of sampling. Increasing the sample size or the number of units tested to obtain a mean increases the precision or reduces the uncertainty. However the cost of this extra work increases linearly with sample size, while the precision increases at a much slower rate with the square root of the number of samples. Sample size problems are approached on the basis of the total uncertainty in the mean. There are two criteria that must be specified to calculate a sample size n. [Pg.41]

Lot size Sample Sample size Cumulative sample size <— AQL (normal inspection) —> ... [Pg.420]

Confidence intervals are presented by simple mathematical formulas in Sect. 20.3 with examples from a pharmaceutical control laboratory. Both Sects. (20.2 and 20.3) will lead the reader to the conclusion that representative sampling, sample size, variability, batch size and percentage defects are highly interconnected. [Pg.406]

In case of both distributions the applied Kolmogorov-Smimov test doesn t provide results for all samples (sample size to small). Therefore, the results of this test will not be analysed. [Pg.1852]


See other pages where Sampling sample size is mentioned: [Pg.139]    [Pg.132]    [Pg.999]    [Pg.16]    [Pg.139]    [Pg.9]    [Pg.493]    [Pg.102]    [Pg.148]    [Pg.188]    [Pg.238]    [Pg.177]    [Pg.430]   
See also in sourсe #XX -- [ Pg.34 ]




SEARCH



Accelerator mass spectrometry sample size

Aliphatic polymer sample size

Analytical method sample size

Assessing sample size

Assumptions sample size

Average content sample size

Bayesian statistics sample size

Binary data sample size

Biostatistics sample size

Blinding sample size

Calculating necessary sample size

Calculating sample size

Characteristic sample size

Choosing the Variables Needed for Sample-Size Estimation

Clinical trials sample size

Clinically relevant difference sample size

Clinically relevant difference with sample size

Cloud samples particle size distribution

Column optimum sample size

Confidence intervals sample size

Continuous data sample size

Cost-effective sample size

Cost-effective sample size model

Determining the Sample Size

Differential scanning calorimetry sample size

Dispersing Powder Samples for Size Characterization Studies

Dropouts sample size

Effective sample size

Effects of Phase Separation, Sample Preparation, Grain Size

Elimination sample size

Error types sample size

Errors particle size, sampling

Event rates sample size

Experimental error sample size

False negatives, power and necessary sample sizes

Fixed-sample size trials

HETP vs sample size

How to Estimate Correct Sample Sizes

Indium sample size

Influence of Sample Size

Infrared microspectroscopy small-size samples

Liquid chromatography sample size

Mass spectrometry sample size

Melting sample size dependence

Minimum sample size

Nondestructive analytical techniques sample size

Offsetting sample size against standard deviation

Particle size blending powder samples

Particle size sample

Particle size sampling technique

Particle size, measurement sample preparation

Polymers structure complexity sample sizes

Power and sample size

Power sample size

Power, sample size, experimental design

Primary endpoints sample size

Problem of small sample size

Process control sample size selection

Process development sample size

Protocol sample size

Questionnaires sample sizes

Random variable sample size

Reduced sample size, definition

Reporting the sample size calculation

Reserve sample sizes

Response with sample size

Ring systems size samples

Sample Gathering for Particle Size Analysis

Sample Size Issues

Sample Size and Shape

Sample broadening crystallite size

Sample cleanup size-exclusion

Sample preparation size limitation

Sample size

Sample size Bayesian approaches

Sample size adjustment

Sample size and geometry

Sample size approximate formula

Sample size assurance calculation

Sample size calculation

Sample size calculation issues

Sample size changing parameters

Sample size clinical importance

Sample size conventions used

Sample size cost issues

Sample size definition

Sample size dependence

Sample size design

Sample size determination

Sample size determining

Sample size drug products

Sample size effects, degrees

Sample size equivalence

Sample size example calculation

Sample size for

Sample size for clinical trials

Sample size inputs required

Sample size interim analysis

Sample size multiplicity

Sample size problems with

Sample size re-evaluation

Sample size reduction

Sample size regulatory issues

Sample size replication, experimental design

Sample size reporting calculation

Sample size review analysis

Sample size selection, environmental

Sample size selection, environmental sampling

Sample size significance with large trials

Sample size standard deviation

Sample size statistical process

Sample size survival data

Sample size with multiple requirements

Sample size, effects

Sample size, effects independent samples

Sample size, influence

Sample sizes and return rates

Sample-size estimation

Sampling error sample size

Sampling size

Sampling size

Sampling size-selective

Size and Shape of the Sample

Size exclusion chromatography sample preparation

Size of sample

Size-segregated sampling

Size-segregated sampling aerosols

Small sample sizes

Solid samples reducing particle size

Spectroscopic Methods Applicable to Different Sample Sizes

Standard deviation with sample size formula

Statistical analysis sample size

Statistics sample size

Study design sample size

Study design sample size estimation

Study protocols sample size estimation

Support Vector Machine Data Processing Method for Problems of Small Sample Size

Surveys sample size

The Control of Sample Size for Normal Preparative Column Operation

Thermogravimetry sample size

Treatment effects/differences sample size

Unequal sample size

Variable apparent sample size

Variables Involved in Sample-Size Estimation

Variance sample size

Water samples sample size

© 2024 chempedia.info