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n is the sample size vs n is sample size

Both phrases are correct, but they are used in different contexts. "n is the sample size" is correct when referring to a specific sample size in a particular study or experiment. On the other hand, "n is sample size" is correct when discussing the concept of sample size in general terms.

Last updated: March 19, 2024 • 737 views

This phrase is correct and commonly used when referring to a specific sample size in a study or experiment.

"n is the sample size"

This phrase is used when you want to specify a particular sample size in a given context.

Examples:

  • In this research, n is the sample size of 100 participants.
  • The survey's validity depends on n, the sample size chosen for the study.
  • ... interval, 2.58 for a 99% confidence interval (see Table 8.2, page 369). • p is our prior judgment of the correct value of p. • n is the sample size (to be found). 4 ...
  • Where: n' - is the sample size of pilot research, and s' - is the the standard deviation of sample of pilot research. I know that it's not a perfect solution. There is lot ...
  • In fact, this also holds true even if the population is binomial, provided that min(np , n(1-p))> 5, where n is the sample size and p is the probability of success in ...
  • For "large" populations, a confidence interval for µ is given by Xbar +/- z s / Sqrt(n ), where where s is the true population standard deviation, n is the sample size, ...

Alternatives:

  • The sample size, denoted by n, is crucial for the study.
  • The study's sample size, n, is 100 participants.

This phrase is correct when discussing the concept of sample size in general terms.

"n is sample size"

This phrase is used when talking about sample size as a general concept, without specifying a particular study or experiment.

Examples:

  • When designing a study, researchers need to consider factors such as n, sample size, and statistical power.
  • Understanding the relationship between n and study outcomes is essential in research.
  • If n is sample size required as per formula and n1 is the sample size for test and n2 is sample size for placebo and n1 /n2 = k, then. n1 = (0.5) × n × (1 + k).
  • Jul 1, 2015 ... sample size fraction n/N, where n is sample size of group B and N is the total sample size p vector of expected proportions of the categories in ...
  • Here, n is sample size, e is the sampling error and 2 s is the variance. To Determine the Sample Size for Calculating the Mean. Example. What sample size ...
  • The standard error of a proportion is given by where p is the proportion, q = 1 - p and n is sample size and a 95 % confidence interval is p plus or minus 1.96 ...

Alternatives:

  • Sample size, represented by n, plays a critical role in research design.
  • The impact of sample size, n, on study results cannot be underestimated.

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