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Q: What are the Factors that can affect the representative of a sample?
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Why is obtaining a representative sample important?

Many statistical statements for a population which are based on a sample are not valid if the sample is not representative.


What is relations between representative sample and population?

A representative sample is a randomly selected subset of the population.


Why is it important to have a representative sample when doing surveys?

Because without representative sample, your results will not be valid.


What You decide you want your sample to be representative of the population. Which sampling process would provide the most representative sample?

A simple random sample.


What is difference between sample and representative sample?

A sample is any subset of the total population. A representative sample is one that is chosen so that its characteristics are similar to that of the population.


If it has similar characteristics as the population the sample is termed?

It is called a representative sample.


What is a representative sample?

A sample that accurately reflects the characteristics of the population as a whole


Simply discuss the factors that affect the BOD value in the experiment?

The factors that can affect the biochemical oxygen demand (BOD) value in an experiment include the organic matter concentration in the sample, the microbial population present to break down the organic matter, the incubation time of the sample, and the temperature at which the incubation occurs. These factors can influence the rate at which oxygen is consumed in the sample, affecting the final BOD value measured.


What is the importance of a representative sample?

Well, if your sample does not represent the larger sample, you'll certainly not get a valid result ... For example, if you're studying pregnancy and your sample includes men - The whole idea of "representative' sample is fuzzy and often gives interesting errors.


How does sample size affect your level of confidence in accepting a hypothesis?

A larger sample size generally leads to increased confidence in accepting a hypothesis, as it can provide more representative data and reduce the impact of random variability. However, the relationship between sample size and confidence levels also depends on factors like the variability within the data and the effect size of the hypothesis being tested.


What does it mean for a sample to representative of a population?

That the key characteristics of the population are reflected in the sample.


How can you determine whether a sample is representative of a population?

Take a simple random sample.