One Sample Z test and One Sample T test Flashcards
It is a statistical test for the mean of a population to interval and ratio scale. It is used when n ≥ 30, or when the population is normally distributed and population standard deviation is known.
One sample Z test
It is statistic (computed sample mean) obtain in the sample data.
Observed value
It is parameter (or population mean) that one would expect to obtain if the null hypothesis were true (or hypothesized value).
Expected value
It is a statistical procedure that is used to known the mean difference between the sample and the known value of the population mean based from an interval and ratio scales.
One sample T test
We draw a random sample from the population and then compare the sample mean with the population mean and make a statistical decision as to whether or not the sample mean is different from the population.
One sample T test
The sample size should be less than 30
One sample T test
The population must be approximately normally distributed.
Assumption in one sample T test.
Samples drawn from the population should be independent.
Assumptions in one sample T test.
Cases of the samples should be independent.
Assumptions in one sample T test.
Sample size should be less than 30.
Assumptions in one sample T test
The population mean should be known.
Assumptions in one sample T test.
Considered as a binomial experiment when there are only two outcomes and the probability of success does not change from trial to trial.
Z test for proportion
Used to compare a proportion in one group to a specified population proportion.
Z test for proportion
Subjects are randomly selected.
Assumptions in Z test for proportion.
Population distribution is normal.
Assumptions in Z test for proportion.
