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Sampling is used in statistics because you can't possibly ask everyone in the world how old they are in order to find out the average age of all humans. But by getting a representative sample, you can make a pretty accurate estimation of the average age of everyone on the planet.
Another less obvious reason sampling is used is to get rid of bias. If you ask 10 of your friends if they like apples and 9 of them say they do, you can't say that 90% of people like apples. Maybe 90% of your friends, but it's very important to get a sample that accurately represents and reflects the population you are studying.
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What sample statistic is used to estimate a population parameter?
A point estimate is a single value (statistic) used to estimate a population value (parameter)true apex
What is the description of sample?
Statistic
What is the difference between 2 sample z test statistic and 2 sample t test statistic?
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What does the test statistic measure?
The test statistic is a measure of how close the sample proportion is to the null value.
What are t test and F test In which situation these are applied?
Both are parametric test. The t-test uses a test statistic that is related to the sample mean(s) and is used to compare that with the mean of another sample or some population. The F-test uses a test statistic that is related to the sample variance and is used to compare that with the variance of another sample or some population. Both tests require identical independently distributed random variables. This ensures that the relevant test statistics are approximately normally distributed.
