Want this question answered?
yes
by using the capture-recapture method which gives you the total size of organisms in a population.
Calculating the Sample Size The sample size, in this case, refers to the number of children to be included in the survey. Step 1: Base Sample-size Calculation The appropriate sample size for a population-based survey is determined largely by three factors: (i) the estimated prevalence of the variable of interest - chronic malnutrition in this instance, (ii) the desired level of confidence and (iii) the acceptable margin of error. For a survey design based on a simple random sample, the sample size required can be calculated according to the following formula. Formula:n= t² x p(1-p)m²Description: n = required sample sizet = confidence level at 95% (standard value of 1.96)p = estimated prevalence of malnutrition in the project aream = margin of error at 5% (standard value of 0.05) Example In the Al Haouz project in Morocco, it has been estimated that roughly 30% (0.3) of the children in the project area suffer from chronic malnutrition. This figure has been taken from national statistics on malnutrition in rural areas. Use of the standard values listed above provides the following calculation. Calculation: n= 1.96² x .3(1-.3).05²n = 3.8416 x .21.0025n = .8068 .0025 n = 322.72 ~ 323Calculating the Sample Size The sample size, in this case, refers to the number of children to be included in the survey. Step 1: Base Sample-size Calculation The appropriate sample size for a population-based survey is determined largely by three factors: (i) the estimated prevalence of the variable of interest - chronic malnutrition in this instance, (ii) the desired level of confidence and (iii) the acceptable margin of error. For a survey design based on a simple random sample, the sample size required can be calculated according to the following formula. Formula:n= t² x p(1-p)m²Description: n = required sample sizet = confidence level at 95% (standard value of 1.96)p = estimated prevalence of malnutrition in the project aream = margin of error at 5% (standard value of 0.05) Example In the Al Haouz project in Morocco, it has been estimated that roughly 30% (0.3) of the children in the project area suffer from chronic malnutrition. This figure has been taken from national statistics on malnutrition in rural areas. Use of the standard values listed above provides the following calculation. Calculation: n= 1.96² x .3(1-.3).05²n = 3.8416 x .21.0025n = .8068 .0025 n = 322.72 ~ 323
he was the one who introduced the slovin's formula, the estimated sample size given the population size and margin of error
It is the number of elements in the sample. By contrast, the relative sample size is the absolute sample size divided by the population size.
yes
by using the capture-recapture method which gives you the total size of organisms in a population.
Calculating the Sample Size The sample size, in this case, refers to the number of children to be included in the survey. Step 1: Base Sample-size Calculation The appropriate sample size for a population-based survey is determined largely by three factors: (i) the estimated prevalence of the variable of interest - chronic malnutrition in this instance, (ii) the desired level of confidence and (iii) the acceptable margin of error. For a survey design based on a simple random sample, the sample size required can be calculated according to the following formula. Formula:n= t² x p(1-p)m²Description: n = required sample sizet = confidence level at 95% (standard value of 1.96)p = estimated prevalence of malnutrition in the project aream = margin of error at 5% (standard value of 0.05) Example In the Al Haouz project in Morocco, it has been estimated that roughly 30% (0.3) of the children in the project area suffer from chronic malnutrition. This figure has been taken from national statistics on malnutrition in rural areas. Use of the standard values listed above provides the following calculation. Calculation: n= 1.96² x .3(1-.3).05²n = 3.8416 x .21.0025n = .8068 .0025 n = 322.72 ~ 323Calculating the Sample Size The sample size, in this case, refers to the number of children to be included in the survey. Step 1: Base Sample-size Calculation The appropriate sample size for a population-based survey is determined largely by three factors: (i) the estimated prevalence of the variable of interest - chronic malnutrition in this instance, (ii) the desired level of confidence and (iii) the acceptable margin of error. For a survey design based on a simple random sample, the sample size required can be calculated according to the following formula. Formula:n= t² x p(1-p)m²Description: n = required sample sizet = confidence level at 95% (standard value of 1.96)p = estimated prevalence of malnutrition in the project aream = margin of error at 5% (standard value of 0.05) Example In the Al Haouz project in Morocco, it has been estimated that roughly 30% (0.3) of the children in the project area suffer from chronic malnutrition. This figure has been taken from national statistics on malnutrition in rural areas. Use of the standard values listed above provides the following calculation. Calculation: n= 1.96² x .3(1-.3).05²n = 3.8416 x .21.0025n = .8068 .0025 n = 322.72 ~ 323
he was the one who introduced the slovin's formula, the estimated sample size given the population size and margin of error
Slovin's formula is used to calculate the sample size (n) given the population size (N)and a margin of error (e). It is computed as n = N / (1+Ne2).
n=N/1+Ne2 sample size= population size/ 1+ population size* (error margin)2
It is the number of elements in the sample. By contrast, the relative sample size is the absolute sample size divided by the population size.
a sample is a sample sized piece given... a sample size is the amount given in one sample
I believe you want the equation to calculate the standard deviation of a sample. The equation is: s = square root[ sum from i =1 to n of (xi- xbar)/(n-1)] where xbar is the average of values of the sample and n = size of sample.
The goal is to disregard the influence of sample size. When calculating Cohen's d, we use the standard deviation in teh denominator, not the standard error.
I've included a couple of links. Statistical theory can never tell you how many samples you must take, all it can tell you the expected error that your sample should have given the variability of the data. Worked in reverse, you provide an expected error and the variability of the data, and statistical theory can tell you the corresponding sample size. The calculation methodology is given on the related links.
sample size is the specific size of a thing like the how long or wide. while sample unit is the whole thing not referring to specific number size.