How to compare percentages for one categorical variable?
I want to compare two percentages on a single categorical variable from one sample. For example, in my data set, a variable can take on two values (i.e. A and B). Of 586 instances, 87.4% is in Category A (512 of 586) and 12.6% is in Category B (74 of 586).
How many independent samples are there in a population?
The two independent samples are simple random samples that are independent. The number of successes is at least five, and the number of failures is at least five, for each of the samples. Growing literature states that the population must be at least ten or 20 times the size of the sample.
When to conduct a hypothesis test comparing two independent population proportions?
When conducting a hypothesis test that compares two independent population proportions, the following characteristics should be present: The two independent samples are simple random samples that are independent. The number of successes is at least five, and the number of failures is at least five, for each of the samples.
What is the χ 2 test for two independent samples?
The row variable is the living arrangement and there are 4 arrangements considered, thus r=4. The column variable is exercise and 3 responses are considered, thus c=3. For this test, df= (4-1) (3-1)=3 (2)=6. Again, with χ 2 tests there are no upper, lower or two-tailed tests.
Which is an example of a categorical variable?
Understand that categorical variables either exist naturally (e.g. a person’s race, political party affiliation, or class standing), while others are created by grouping a quantitative variable (e.g. taking height and creating groups Short, Medium, and Tall).
How to compare percentages for A and B?
If you want to compare two proportions where there are other outcomes as well (say compare A and B but where there’s a C, D and E), then you can take the A proportion of just the A’s and B’s and again, compare to 50%.
When do you compare two populations or groups?
For statistical purposes, you can compare two populations or groups when the variable is categorical (for example, smoker/nonsmoker, Democrat/Republican, support/oppose an opinion, and so on) and you’re interested in the proportion of individuals with a certain characteristic — for example,…