QBUS5001 Live Streaming Consultation
4:00 @felisa Zen: i wanted to ask in the sample 2016 exam, the first three formulas under "population parameters". what are they? and why are there 3 different ones 6:19 @Man Agnes Hi~ tony , I want to ask about the normal approximation of Binomial probability, Can you explain again that when X should +0.5 or When need -0.5? @Regina Zhang: In 2016 sample Question 3 a ii, it mentioned we need to use continuity correction. Can you explain a bit more about this please? 10:35 @Study King Hi Tony, there are a number of questions in the sample paper regarding topics that are yet to be covered in week 1-7 (e.g. Wilcoxon rank sum test and ANOVA). 17:28 @yuyang wang: why the last question of this week's tutorial use the formula of SD unknown but equal while we are given s1and s2 separately? 19:54 @Daniil Maslyuk: How do we decide that variances may be equal unless we are told explicitly? When is "close" is close enough? 21:25 @Olivia Zhang: Q1 what’s the difference of stratified random sampling and cluster sampling. Q2 when everyone appears once, will the mode be ALL or NA. Q3 will skewness be examed in the mid term test? 29:00 @Kenneth Sze: Hi tony, if the sample SD S1 and S2 are quite close but the var is different, i.e. S1=6, S2=8, Var 1 =36, Variance 2 = 64, do we use vari or SD to conclude they have an equal population SD or not 32:00 @Bin He: Hi , When we are doing hypothesis testing, if the population is not normally distributed, do we need to say ' according to CLT,the sampling distribution can be approximated as normal distribution' ? 33:35 @Man Agnes: I find our t-table also have F-value, so we should understand the F-value? 38:23 Hi Tony could you give a few examples about independent and dependent, sometimes the questions are not quite clear. 42:40 @Sally Jane: If the probability that fail to reject the null hypothesis when it’s actually false increases, how about the confidence level? (beta and confidence interval) 46:10 Hi Tony. In the solution of confidence interval,Problem 2B, it draw a conclusion that the mean lies between the interval. I'm so confused about that. 47:50 moreover, do we need to identify every single symbol we gonna use in our answer at the beginning of my answer? cos its time consuming and i'm afraid of losing marks if i dont do that. 50:50 @HUNG NGUYEN: Hi Tony, pls kindly explain the solution for problem set1, question 1B(c) answer is 425000 58:15 @Kenneth Sze: Do you mind teaching us how to outline a perfect structure about answering hypothesis testing ? like firstly all assumptions conditions, then calculation 1:09:50 @Bing Yang: Tony, would you mind explaining the efficiency to the estimator? 1:16:34 Matched pair question in textbook. 1:29:20 so in the conclusion when should we say we have enough evidence when to say we have no enough evidence 1:30:15 when we need to calculate the SD of sample ,is that 1/n-1 S? 1:31:00 when it is an LCL, UCL question, do we also have to write out a conclusion in sentence or just say the numbers? would it be marked wrong if we used confidence interval to answer a hypothesis test question?
4:00 @felisa Zen: i wanted to ask in the sample 2016 exam, the first three formulas under "population parameters". what are they? and why are there 3 different ones 6:19 @Man Agnes Hi~ tony , I want to ask about the normal approximation of Binomial probability, Can you explain again that when X should +0.5 or When need -0.5? @Regina Zhang: In 2016 sample Question 3 a ii, it mentioned we need to use continuity correction. Can you explain a bit more about this please? 10:35 @Study King Hi Tony, there are a number of questions in the sample paper regarding topics that are yet to be covered in week 1-7 (e.g. Wilcoxon rank sum test and ANOVA). 17:28 @yuyang wang: why the last question of this week's tutorial use the formula of SD unknown but equal while we are given s1and s2 separately? 19:54 @Daniil Maslyuk: How do we decide that variances may be equal unless we are told explicitly? When is "close" is close enough? 21:25 @Olivia Zhang: Q1 what’s the difference of stratified random sampling and cluster sampling. Q2 when everyone appears once, will the mode be ALL or NA. Q3 will skewness be examed in the mid term test? 29:00 @Kenneth Sze: Hi tony, if the sample SD S1 and S2 are quite close but the var is different, i.e. S1=6, S2=8, Var 1 =36, Variance 2 = 64, do we use vari or SD to conclude they have an equal population SD or not 32:00 @Bin He: Hi , When we are doing hypothesis testing, if the population is not normally distributed, do we need to say ' according to CLT,the sampling distribution can be approximated as normal distribution' ? 33:35 @Man Agnes: I find our t-table also have F-value, so we should understand the F-value? 38:23 Hi Tony could you give a few examples about independent and dependent, sometimes the questions are not quite clear. 42:40 @Sally Jane: If the probability that fail to reject the null hypothesis when it’s actually false increases, how about the confidence level? (beta and confidence interval) 46:10 Hi Tony. In the solution of confidence interval,Problem 2B, it draw a conclusion that the mean lies between the interval. I'm so confused about that. 47:50 moreover, do we need to identify every single symbol we gonna use in our answer at the beginning of my answer? cos its time consuming and i'm afraid of losing marks if i dont do that. 50:50 @HUNG NGUYEN: Hi Tony, pls kindly explain the solution for problem set1, question 1B(c) answer is 425000 58:15 @Kenneth Sze: Do you mind teaching us how to outline a perfect structure about answering hypothesis testing ? like firstly all assumptions conditions, then calculation 1:09:50 @Bing Yang: Tony, would you mind explaining the efficiency to the estimator? 1:16:34 Matched pair question in textbook. 1:29:20 so in the conclusion when should we say we have enough evidence when to say we have no enough evidence 1:30:15 when we need to calculate the SD of sample ,is that 1/n-1 S? 1:31:00 when it is an LCL, UCL question, do we also have to write out a conclusion in sentence or just say the numbers? would it be marked wrong if we used confidence interval to answer a hypothesis test question?