I run binary model: one category has 112 sample size and other has only 28, does it create problem due to vast difference in sample size between categories?
Pls I need help so to this
Question:
A) Searching for optimality in a rapidly changing world is like chasing a shadow the optimum changes as our perception changes.
B) The Operational Research Society's definition of Operational Research does not mention optimization yet most Operational Research technique assumes it
*Required:*
Comment on the above statements giving examples why it might. Not be appropriate to seek
Hello. I'm fairly new on this platform and would appreciate it if I could be assisted. I have read somewhere that for a 7 point Likert scale questionnaire, 4 is the Test value, I hope I got that one right. So my question is, how do I determine Test value for a point Likert scale?
Again how do I differentiate between Test value and t-test? I find them confusing
Hi. need help. I am new to research data analysis and the last time I came across it was when I was still in Uni. To cut the story short, wanted some advise on the research analysis that I am doing. We wanted to know what scores from candidate's pre-employment data can predict a high scores in Training outcome (probability of candidate to excel or to be dismissed from training). Which statistical analysis can we use?
Hallo Dason,
I have a question in Conditional Probability and I would appreciate if you could help me solve it.
I have the probability of of the Hourly temperature of the day. if my temperature varies from -3,-2,-1,0.....+9 and I know the probability for each temp. every hour through the day (for example that probability that the temp is +1°C at 12:00 am is 13% and at 01:00 am is 15% and so on for 24 hours.
Is this a right description? I found it in a book but I am confused:
"Three main statistical methods are used in the data analysis: descriptive statistics, inferential statistics, and regressions analysis." and
"Inferential statistics tests the relationship between two data sets or two samples, and a hypothesis is usually set for the statistical relationships
between them."
yes exactly, I want random data like hemogloblin, kolesterol and weight, and lets say I have 20 deaths in 100 patient as binary outcome, I want to have random data ( each within specified limits , hemoglobln values should be between 9-16 for example ) that will give me the specified odds ratio after multivariate regression analysis
3 variables , each has prespecified odds ratio which are significant and in a predetermined confidence interval
for example after multivariate logistic regression analysis I find A variables odds 1.4 (1.1-16) , B variables 1.6 ( 1.23-1.40) and C variable 2.3 ( 1.4-3.3)
now I want 120 A,B, C variables with a prespecified mean, SD, how can I produce this data
3 variables , each has prespecified odds ratio which are significant and in a predetermined confidence interval
for example after multivariate logistic regression analysis I find A variables odds 1.4 (1.1-16) , B variables 1.6 ( 1.23-1.40) and C variable 2.3 ( 1.4-3.3)
now I want 120 A,B, C variables with a prespecified mean, SD, how can I produce this data
3 variables , each has prespecified odds ratio which are significant and in a predetermined confidence interval
for example after multivariate logistic regression analysis I find A variables odds 1.4 (1.1-16) , B variables 1.6 ( 1.23-1.40) and C variable 2.3 ( 1.4-3.3)
now I want 120 A,B, C variables with a prespecified mean, SD, how can I produce this data
3 variables , each has prespecified odds ratio which are significant and in a predetermined confidence interval
for example after multivariate logistic regression analysis I find A variables odds 1.4 (1.1-16) , B variables 1.6 ( 1.23-1.40) and C variable 2.3 ( 1.4-3.3)
now I want 120 A,B, C variables with a prespecified mean, SD, how can I produce this data
Currrntly I'm doing masters thesis on migration using count model.poisson and neg.binomial have no problem but when i try zeroinflated and hurdle model some pridctor variable shows error in r software.....like computationally singular
as.matrix.fit$hessian...
So how I can fix the problem and include the variable in analysis???