Hello everyone, I am facing some problems concerning my data normality of my dependent variable, my results are contradicted and I couldn't make my conclusion. Which criteria should I based for to say if the data is normally distributed or not ?
Thank you in advance
Can you help me with stats and probability.
State whether the following are true or false and give a brief explanation. Explain true/false answer
i. Skewness of a distribution cannot be determined from a boxplot.
ii. For any event A, it is possible for P(A) + P(Ac
) < 1, where Ac denotes
the complement set.
iii. A standardised normal random variable has a standard deviation equal to
Pls I need help so to this
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
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?
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
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
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
So how I can fix the problem and include the variable in analysis???