Understanding the sampling distribution: When statistical inference is performed, the sampling distribution sometimes follows a Normal distribution and sometimes takes the form of a t distribution. When is the Normal distribution appropriate and when is the t distribution appropriate? Which distribution do you think is more realistic in practice and why?
Added by Sonia H.
Your feedback will help us improve your experience
Aarya B and 58 other Intro Stats / AP Statistics educators are ready to help you.
Ask a new question
Labs
Want to see this concept in action?
Explore this concept interactively to see how it behaves as you change inputs.
Key Concepts
Recommended Videos
Why does sample size need to be accounted for in the t-distribution? Choose the correct answer below. A. The accuracy of the t-distribution depends on the sample size. B. The t-distribution should not be used for large sample sizes. C. The t-distribution becomes less skewed as the sample size increases. D. The t-distribution should not be used for small sample sizes. E. The t-distribution changes for different sample sizes. Click to select your answer.
Adi S.
Under what conditions is it appropriate to use a normal distribution to approximate the $\hat{p}$ distribution?
Normal Curves and Sampling Distributions
Normal Approximation to Binomial Distribution and to $\hat{p}$ Distribution
Under what conditions, if any, is it not correct to assume that the sampling distribution of the sample mean is approximately normally distributed? Explain your reasoning.
Rashmi S.
Recommended Textbooks
Elementary Statistics a Step by Step Approach
The Practice of Statistics for AP
Introductory Statistics
Transcript
Watch the video solution with this free unlock.
EMAIL
PASSWORD