IB Math AI HL: Topic 4
.
무엇을 배울까요?
IB Math AI의 4 단원
Chapter 4: Statistics & Probability
커리큘럼
-
4.3.1 Discrete Data07:37
-
4.3.2 Grouped Data08:54
-
4.3.3 Variance and Standard Deviation08:54
-
4.6.1 Venn Diagrams05:19
-
4.6.2 Tree Diagrams08:17
-
4.6.3 Additional Law02:54
-
4.6.4 Conditional Probability16:19
-
4.6.5 Independence10:05
-
4.6.6 De Morgan's Law08:11
-
4.11.1 Null and Alternative Hypothesis19:37
-
4.11.2 Chi-squared Test14:53
-
4.11.3 chi-squarted for independence09:23
-
4.11.4 t-distribution17:39
-
4.11.5 Means of Two Populations11:23
-
무료 수업 15:04
-
4.12.2 Chi-squared for categorizing numerical data07:48
-
4.12.3 Chi-squared for Parameters16:33
-
4.14.1 Linear Transformation of Single random variable22:00
-
4.14.2 Unbiased Esimate for mean and variance08:02
-
4.17.1 Poisson distribution, properties, Sum of two indepndent Poisson Distribution58:42
-
4.18.1 Critical Value and Region14:07
-
4.18.2 means of Unpaired Samples14:56
-
4.18.3 Test for Binomial distribution22:08
-
4.18.4 Test for Poisson distribuion12:53
-
4.18.5 Test for bivariate modeling07:58
-
4.18.6 Type I and II errors21:37
-
무료 수업 04:59
-
4.2 Q&A03:44
-
4.3 Q&A04:22
-
4.4 Q&A03:54
-
4.5 Q&A02:59
-
4.6 Q&A06:21
-
4.7 Q&A04:48
-
4.8 Q&A02:43
-
4.9 Q&A03:39
-
4.10 Q&A04:58
-
4.11 Q&A14:52
-
무료 수업 05:04
-
4.13 Q&A (HL)08:51
-
4.14 Q&A (HL)05:13
-
4.15 Q&A (HL)02:50
-
4.16 Q&A (HL)03:31
-
4.17 Q&A (HL)02:12
-
4.18 Q&A(HL)03:22
-
4.19 Q&A (HL)14:10
설명
"판매 종료 강좌"입니다.
강사 평점
★★★★★ 5.0
코멘트