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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 • 637 views

n is the sample size

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

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.

n is sample size

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

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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