19. What if a population distribution is not normal - How can we get it so we can assume normality for the sampling distribution of sample means? 20. What is the Central Limit Theorem? 21. How is the Central Limit Theorem shown with the simulator as instructed here? 22. Why does dispersion matter? Understand example of throwing darts from Ch. 3 Synopsis. 23. Why does sample size matter? Understand example of throwing darts from Ch. 3 Synopsis. 24. Where is the standard error located in the zscore formula? 25. How does the sample size (n) affect the standard error? {Remember standard error is just a measure of dispersion) 26. Data shows that annual expenditures for Internetrelated services per customer was $945 in 2019. Let the population standard deviation of annual expenditure be $170. 1. What is the probability that the average annual expenditure of 10 Internetrelated customers in 2019 was less than $870? 2. What is the probability that the average annual expenditure of 100 Internetrelated customers in 2019 was less than $870? 27- What is the formula for proportion? {Don't have to memorize, only understand conceptually) 28. Can Central Limit Theorem be applied to Sampling Distribution of Sample Proportions? If so, what are the conditions