Determining Sample Size for Conversion to Ag2S

In summary, when performing repeated assays, the sample size is chosen to ensure that the measured quantity is equal to a desired proportionate quantity. In the case of determining sulfur content in a mineral sample by converting it to Ag2S, the mass of the sample must be chosen such that the mass of Ag2S obtained is four times the percent sulfur in the sample. This can be calculated by using the expression for the mass of sulfur in terms of the sample mass and sulfur percentage.
  • #1
higherme
129
0
Sometimes, when repeated assays are to be performed, the sample size is standardized and chosen such that the ultimately measured quantigy is numerically equivalent to some other desired proportionate quantity.

suppose the sulfur content of a mineral sample is determined by complete conversion to Ag2S(s) what mass of sample must be chosen so that the number of grams of Ag2S obtained is equal to 4 times the percent sulfur in the sample??


i don't know where do start...
 
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  • #2
Begin here: Let the sample contain x% of sulfur (S) and have a mass m. Then the mass of S in the sample is ...
 
  • #3
how do i find mass if i don't know how much Ag2S i have?
 
  • #4
Assume the mass is "m" and write down an expression for the mass of S in terms of x and m.
 

1. How do you determine the appropriate sample size for conversion to Ag2S?

The appropriate sample size for conversion to Ag2S can be determined by using statistical methods such as power analysis and sample size calculation. These methods take into account factors such as the desired level of significance, effect size, and power to determine the minimum number of samples needed for accurate results.

2. What is the significance level in determining sample size for conversion to Ag2S?

The significance level, also known as alpha, is the maximum acceptable probability of making a type I error (rejecting the null hypothesis when it is actually true) in a statistical test. It is typically set at 0.05 or 0.01, depending on the desired level of confidence in the results.

3. How does effect size impact the determination of sample size for conversion to Ag2S?

Effect size is a measure of the magnitude of the difference between two groups being compared. Larger effect sizes require smaller sample sizes, while smaller effect sizes require larger sample sizes. This is because larger effect sizes indicate a stronger relationship between the variables and therefore, fewer samples are needed to detect it.

4. What is power and why is it important in determining sample size for conversion to Ag2S?

Power is the probability of correctly rejecting the null hypothesis when it is false. It is important in determining sample size because a low power can result in a high risk of making a type II error (failing to reject the null hypothesis when it is actually false). A higher power can be achieved by increasing the sample size, which allows for a better chance of detecting a true effect.

5. Are there any other factors to consider when determining sample size for conversion to Ag2S?

Yes, there are other factors to consider such as the variability of the data, the type of statistical test being used, and the resources available for conducting the study. It is important to carefully consider these factors in order to obtain an appropriate sample size for accurate and meaningful results.

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