sample sizes การใช้

• Prior studies all were based on small sample sizes as well.
• The stations did not give sample sizes or an error margins.
• Therefore, the estimator is approximately unbiased for large sample sizes.
• The stations did not give sample sizes or a margin of error.
• As would be expected, larger sample sizes give smaller standard errors.
• Larger sample sizes generally lead to increased estimating unknown parameters.
• Sample sizes are judged based on the quality of the resulting estimates.
• For large sample sizes " U " is distributed normally.
• Consumables, such as pet food, sometimes come in sample sizes.
• The sample sizes were much, much too large.
• All of the polls had relatively small sample sizes.
• But again, the sample sizes were too small to yield general conclusions.
• Rejection sampling is extremely slow for large sample sizes.
• Piaget did, however, have larger sample sizes during his later years.
• Unlike logistic regression, discriminant analysis can be used with small sample sizes.
• One has been towards larger and larger sample sizes.
• It is possible to work with unequal sample sizes.
• Sampling sizes usually consist of around 1100 1200 electors.
• But the accuracy of the estimates derived only marginally improves with larger sample sizes.
• Additionally, eye tracking is limited to small sample sizes and abnormal browsing environments.