Econ 378 Part 2 Review

A review of part 2 of Statistics for Economists - BYU course ECON 378

Continuous probability distribution functions, including joint, marginal, conditional, and cumulative distribution functions, along with formulas for expected value, variance / covariance, and some practice problems.

TIMESTAMPS:
0:00 Pdfs discrete to continuous
3:12 Cdfs
9:42 Percentiles & median
11:10 Jdfs discrete to continuous
21:03 Desmos graphs
26:23 Expected value, variance, covariance
31:52 Special distributions
37:05 CLT and LLN
43:24 Reading tables & standardizing
1:00:21 Exam 2a #3
1:08:20 Exam 2a #5 (Weird rule)
1:10:53 Exam 2a #1-f
1:14:58 Exam 2a #2b

CORRECTIONS:
38:26 The accuracy of the CLT relies on your sample size. The CLT says that as your sample size approaches infinity, the distribution of your sample means approaches a normal distribution. AKA the larger the sample size, the more reliable the CLT is.
40:48 Since the CLT and LLN rely on sample size, it would be better to call this "consistency." Consistent estimators converge on the true population mean as sample size increases. Unbiased estimators always have an expected value of the true population mean, regardlesss of sample size.

Видео Econ 378 Part 2 Review канала Doggonomics