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The concept of sample size calculation has evolved over time, with contributions from various statisticians. However, key developments in the formula for sample size calculation can be attributed to statisticians like Jerzy Neyman and Egon Pearson in the 20th century, who formalized concepts related to hypothesis testing and estimation. Their work laid the foundation for modern statistical methods, including sample size determination.
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What is the formula in finding the margin of error in slovins formula if the sample size and the population is given?
yes
What is the formula to calculate size of a sample?
by using the capture-recapture method which gives you the total size of organisms in a population.
Formula for calculating work sampling?
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
Who is the statistician named slovin?
he was the one who introduced the slovin's formula, the estimated sample size given the population size and margin of error
What is absolute sample size?
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.
What is the formula in finding the margin of error in slovins formula if the sample size and the population is given?
yes
What is Slovin's formula?
Slovin's formula is a mathematical formula used to determine the sample size needed for a survey or study. It takes into account the population size, desired level of confidence, and margin of error to calculate the appropriate sample size for a given study. It is commonly used in statistics and research to ensure accurate and reliable results.
What is the formula to calculate size of a sample?
by using the capture-recapture method which gives you the total size of organisms in a population.
What will affect the sample size calculation for a clinical trial?
A cost-benefit analysis. In particular, the cost of the experiment, the consequences of getting the wrong result, the rarity (or otherwise) of the condition that you want to study, the variability of that condition in the population.
Formula for calculating work sampling?
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
Who is the statistician named slovin?
he was the one who introduced the slovin's formula, the estimated sample size given the population size and margin of error
What are sloven's formula in st atistics?
n=N/1+Ne2 sample size= population size/ 1+ population size* (error margin)2
What is absolute sample size?
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.
What is the difference between sample and sample size?
a sample is a sample sized piece given... a sample size is the amount given in one sample
What is the formula for sample size determination by mugenda and mugenda 2003?
Well, let's not worry about complex formulas right now. Remember, determining sample size is just a way to ensure your research results are reliable. It's like adding a touch of color to your painting to make it truly shine. Just focus on the beauty of your research journey, and the right sample size will naturally come to you.
What is the Formula for sample deviation?
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.
Why does the effect-size calculation use standard deviation rather than standard error?
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.
