Proportions
In order to carry out a test for the difference in population proportions based on independent random samples without bias, what condition relating to sampling methods should have been followed?
To determine if there is a significant difference between the proportions of males and females who prefer online shopping, which of the following sample sizes would most likely produce a more reliable test result?
Which outcome would suggest greater variability than expected when performing a test for difference between two population proportions?
When comparing two sample proportions to determine if there's a significant difference, what statistic do we use?
If you flip a fair coin once, what is the probability of getting heads?
A statistics student is conducting a hypothesis test for the difference in two population proportions. They calculate a p-value of 0.02. What can they conclude?
What requirement must both samples meet to perform an appropriate test comparing their proportions?
How are we doing?
Give us your feedback and let us know how we can improve
If the conditions for inference about the difference between two population proportions are not met due to a small sample size, which of the following is an appropriate next step?
What statistical test do we use to compare two population proportions to determine if they are significantly different from each other?
Which one of these would not affect the probability when performing hypothesis tests about differences between two population proportions?