Question

Anytime we take a sample, we are trying to represent some larger population. Choose two of the following concepts: the sampling distribution, standard error, or critical value, and describe how they are used together to test the mean of a sample to see how closely the sample matches the population. You can also talk about what effect these concepts have on the chances of committing a type I or type II error.

Answer 1

Standard error is the standard deviation of the sample of the mean distribution. It is the standard deviation of the theoritical distribution of the lartger population of the estimated area.

Sampling distribution is referred to probability distribution of the large statistics obtained through the large number of samples of a particular populaiton, moreover, the sampling distribution of a sample is the distribution of the frequencies of a range of different otucomes of the population and different outcomes.

It is seen that the usual estimated deviation of the statistics of the findings known as standard error is estimated standard deviation of the sampling distribution that is a mathematical variance is equal to or as much as the distribution of the sample divided into the population.