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Definition: Sampling rate or sampling frequency defines the number of samples per second (or per other unit) taken from a continuous signal to make a discrete or digital signal.
Sample size refers to the number of participants or observations included in a study. This number is usually represented by n. The size of a sample influences two statistical properties: 1) the precision of our estimates and 2) the power of the study to draw conclusions.
Sample size is a critical decision in determining frequency, because it is a key way to influence the precision of the collected data. Larger sample sizes are required if the collected data has a large sample variance or if the key species occurs in low abundance.
To calculate the relative frequencies, divide each frequency by the sample size. The sample size is the sum of the frequencies.
Sample Size for Frequency Sampling a sample size of 100 or 200 quadrats allows the statistical analysis of frequency data based on readily available Binomial Statistics Tables. much larger sample sizes are required to confidently detect small changes between sampling times or sites.

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0:58 1:54 So a my some of my frequencies is going to be six plus five thats 11. Another eight makes 19.MoreSo a my some of my frequencies is going to be six plus five thats 11. Another eight makes 19. Another three is 22 23. And 29. And so n is equals to the sum of F. And so in that case I had 29 MMs in

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