Unit 6: Inference for Categorical Data: Proportions

Increasing the confidence level from 90% to 99% will:

The null hypothesis in a significance test typically states that:

A [math]-value of 0.03 means:

The margin of error for a confidence interval for a proportion is:

The power of a test is:

To decrease the margin of error by half without changing the confidence level, you would need to:

A two-proportion [math]-test is used to:

A fair coin is flipped 10 times. What is the probability of getting exactly 7 heads?

A basketball player makes 70% of free throws. What is the probability that the first miss occurs on the 4th attempt?

Which of the following is NOT a condition for a binomial distribution?

A binomial random variable has n = 20 and p = 0.3. What is the expected number of successes?

A binomial random variable has n = 100 and p = 0.25. What is the standard deviation?

For a geometric random variable with p = 0.2, what is the expected number of trials until the first success?

In a class of 30, each student independently has a 0.1 probability of being left-handed. What is P(exactly 3 are left-handed)?

A binomial distribution can be approximated by a normal distribution when:

What is the 95% confidence interval for the true proportion?

Which is the correct interpretation of this confidence interval?

What is the test statistic and conclusion at α = 0.05?

What is the minimum sample size needed?

Which describes a Type I error in this context?