University:
Washington State University
Course:
MATH 172 | Calculus II
Academic year:

2024
Views:

209

Pages:

6
Author:

Bailey Ayala

Question 1 Incorrect Statement About the Sampling Distribution: Answer: The incorrect statement is: (e) The sampling distribution shows how the sample was distributed around the sample mean. Question 2 Unbiased Estimators of Population Parameters: Answer: Unbiased estimators: Sample mean (used to estimate the population mean). Sample proportion (used to estimate the population proportion). Sample variance (used to estimate the population variance). Question 3 True Statement About Sampling Distributions: Answer: "Sampling distributions get closer to normality as the sample size increases." Question 4 Correct General Statements About the Central Limit Theorem (CLT): Answer: It specifies the specific shape of the curve which approximates certain sampling distributions. Its name is often abbreviated by the three capital letters CLT. The accuracy of the approximation it provides improves as the sample size increases. It specifies the specific standard deviation of the curve which approximates certain sampling distributions. Question 5 Using Relative Frequencies to Estimate Probabilities: Answer: Relative frequency is the ratio of class frequency to total frequency. It acts as a likelihood estimate of the sample statistic and can be used to estimate probabilities in sampling distributions.