Intro Stats Homework Solution 5
Slow But Steady Wins the Race
Intro Stats Homework Solution 5
10:31
twinkling little star bedtime story
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twinkling little star bedtime story
1:13
亲子关系—白岩松陪伴儿子的故事
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亲子关系—白岩松陪伴儿子的故事
7:53
Homework answer: use excel to calculate chi square value
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Homework answer: use excel to calculate chi square value
13:07
Statistics Confidence Interval sample size homework and answer
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Statistics Confidence Interval sample size homework and answer
11:55
google excel sheets: calculate statistics: standard deviation, mean, mode
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google excel sheets: calculate statistics: standard deviation, mean, mode
8:55
斯坦福 炒虾机器人 还能做满汉全席  Aloha housekeeping robot
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斯坦福 炒虾机器人 还能做满汉全席 Aloha housekeeping robot
8:47
小故事看大人物-查理芒格
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小故事看大人物-查理芒格
14:21
How to Calculate Standard Deviation in excel, calculator TI 30XA X IIS
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How to Calculate Standard Deviation in excel, calculator TI 30XA X IIS
12:58
人际关系亲子小窍门:看破不说破
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人际关系亲子小窍门:看破不说破
4:22
时事故事—三国鼎立时代来临_柯文哲吳欣盈 侯友谊赵少康
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时事故事—三国鼎立时代来临_柯文哲吳欣盈 侯友谊赵少康
3:19
发生在星巴克的一个小故事
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发生在星巴克的一个小故事
2:26
用数据讲故事_柯文哲_侯友谊_民调到底怎么回事
Slow But Steady Wins the Race
用数据讲故事_柯文哲_侯友谊_民调到底怎么回事
8:50
Noetic_NLMC_math_kangarroo_exam_practice_sample_questions_1
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Noetic_NLMC_math_kangarroo_exam_practice_sample_questions_1
10:06
Noetic vs Math Kangaroo vs AMC
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Noetic vs Math Kangaroo vs AMC
6:56
四颗糖的故事
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四颗糖的故事
3:05
Homework 10 chapter 9 mpare two means z test t test
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Homework 10 chapter 9 mpare two means z test t test
14:52
Homework 11 for lecture 9 3 9 4 better
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Homework 11 for lecture 9 3 9 4 better
22:00
Homework 12 for lecture 10 1 10 2 better
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Homework 12 for lecture 10 1 10 2 better
15:47
Homework 2 permutation combination solution explanation
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Homework 2 permutation combination solution explanation
27:02
Homework 15 F test ANOVA
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Homework 15 F test ANOVA
6:00
Homework 1 chapter 3 1 3 2 3 3 solution
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Homework 1 chapter 3 1 3 2 3 3 solution
20:19
Lecture 5 2 part b statistics application lottery ticket insurance premium
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Lecture 5 2 part b statistics application lottery ticket insurance premium
21:31
Lecture 5 3 binormial distribution application
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Lecture 5 3 binormial distribution application
33:56
Lecture 5 2 part a mean variance probability distribution
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Lecture 5 2 part a mean variance probability distribution
22:08
Lecture 9 3 9 4 better, paired t test for 2 samples
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Lecture 9 3 9 4 better, paired t test for 2 samples
33:26
Lecture 5 1 probability distribution 2 conditions
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Lecture 5 1 probability distribution 2 conditions
18:41
Lecture 11 1 chi square application independence better
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Lecture 11 1 chi square application independence better
29:10
Lecture 10 1 10 2 better: linear regression
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Lecture 10 1 10 2 better: linear regression
27:28
Lecture 12 F test ANOVA
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Lecture 12 F test ANOVA
33:09
Lecture 11 2 chi square application contingency table better
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Lecture 11 2 chi square application contingency table better
16:56
Lecture 9 1 better update, hypothesis testing for two samples
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Lecture 9 1 better update, hypothesis testing for two samples
33:12
Lecture 9 2 better, hypothesis testing t test
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Lecture 9 2 better, hypothesis testing t test
13:47
Lecture 8 5 better, hypothesis testing
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Lecture 8 5 better, hypothesis testing
15:31
lecture 8 4 better update, hypothesis testing using paired p-value test
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lecture 8 4 better update, hypothesis testing using paired p-value test
17:48
lecture 8 3 better update, hypothesis testing using t test
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lecture 8 3 better update, hypothesis testing using t test
17:41
lecture 8 1 better update
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lecture 8 1 better update
36:01
lecture 8 2 better update, hypothesis testing using p-value test
Slow But Steady Wins the Race
lecture 8 2 better update, hypothesis testing using p-value test
19:50
Lecture 6 2 normal distribution solve probability questions application
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Lecture 6 2 normal distribution solve probability questions application
1:06:51
Lecture 6 3 central limit theorem
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Lecture 6 3 central limit theorem
33:46
Lecture 7 2 better  confidence interval two sample
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Lecture 7 2 better confidence interval two sample
35:15
Lecture 7 3 better  confidence interval two sample
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Lecture 7 3 better confidence interval two sample
14:46
Lecture 7 1 better confidence interval
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Lecture 7 1 better confidence interval
27:55
Lecture 6 4 normal approximation binormial distribution
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Lecture 6 4 normal approximation binormial distribution
9:41
Lecture 6 1 normal distribution introduction 6 attributes
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Lecture 6 1 normal distribution introduction 6 attributes
39:49
Lecture 4 1 sample space, probability problem
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Lecture 4 1 sample space, probability problem
26:33
Lecture 4 5 application permutation combination
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Lecture 4 5 application permutation combination
21:43
Lecture 4 3 probability multiplication rule conditional probability
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Lecture 4 3 probability multiplication rule conditional probability
35:11
Lecture 4 4 part a permutation combination formula
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Lecture 4 4 part a permutation combination formula
26:14
Lecture 4 4 part b combination permutation formula
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Lecture 4 4 part b combination permutation formula
10:44
Lecture 3 2 measure of variation variance
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Lecture 3 2 measure of variation variance
49:32
Lecture 4 2 addition rule for probability
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Lecture 4 2 addition rule for probability
21:41
Lecture 3 3 measure of position z standard score
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Lecture 3 3 measure of position z standard score
21:58
Lecture 3 1 measure central tendency  mean  median  mode  midrange
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Lecture 3 1 measure central tendency mean median mode midrange
18:54