Then, p A and p B are the desired population proportions. Let A and B be the subscripts for Medication A and Medication B, respectively. The problem asks for a difference in proportions, making it a test of two proportions. The pooled proportion is calculated as follows: To conduct the test, we use a pooled proportion, p c. Generally, the null hypothesis states that the two proportions are the same. The difference of two proportions follows an approximate normal distribution. A hypothesis test can help determine if a difference in the estimated proportions reflects a difference in the population proportions. If two estimated proportions are different, it may be due to a difference in the populations or it may be due to chance. This keeps each population from being over-sampled and causing incorrect results.Ĭomparing two proportions, like comparing two means, is common. Growing literature states that the population must be at least 10 or 20 times the size of the sample.The number of successes is at least five, and the number of failures is at least five, for each of the samples. The two independent samples are simple random samples that are independent.When conducting a hypothesis test that compares two independent population proportions, the following characteristics should be present:
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. Archives
January 2023
Categories |