# New profile posts

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 ?
atn
first you can do visual examination and then you can do statistical test for normality assumptions (Kolmogorov-Smirnov test, Shapiro-Wilk's test)
Amina
Amina
Thank you Sir, I really appreciate it
Hello there!
could you help me to show or explain how to run this formula in Spss step by step? Thank you in advance.
My background of Statistic is not good :(

****
Munificence to be obtained by:
a. Regressing time against sales of industry over the previous 10 years
of period and;

b.Taking the ratio of the regression slope coefficient to the mean value of sales over the same period.
****
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#### globetechneobhglobetechne wrote on obh's profile.

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
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#### mohammdMasterasmohammd wrote on Masteras's profile.

hello i saw a post once about SPSS. I am having the similar problem. Can you help? thanks
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?
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#### ahmed_shinawyDasonahmed_shinawy wrote on Dason's profile.

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.
ahmed_shinawy
How could I know the probability that the hourly temp. will be:
a) the same for two successive hours?
b) Increase by +1 degree in the next hour
c) decrease by -1 degree in the next hour
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#### yccpmohsenhs82yccp wrote on mohsenhs82's profile.

hi did you solve this? i'm having the same problem? can you share your solution?
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."
Relearning Probability and Prediction
I need a report on "Cognitive Assessment and Training Market"
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#### SpektraShacharSpektra wrote on Shachar's profile.

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
noetsi
Sorry I did not know this was here. Be warned that unlike say spunky and dason I am a data analyst not a statistician. I am not sure what you mean by random data, or setting ranges on certain predictors. If the variable is random you can't limited it or in any case I have not seen that. I do not know a formal way to work back to an odds ratio. But you could manually say that the odds of this is X of the odds of that
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#### SpektranoetsiSpektra wrote on noetsi's profile.

Dear noetsi

I want to produce some experimental 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
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#### SpektrahlsmithSpektra wrote on hlsmith's profile.

Dear hlsmith

I want to produce some experimental 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
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#### SpektraDasonSpektra wrote on Dason's profile.

Dear Dason

I want to produce some experimental 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
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#### SpektraShacharSpektra wrote on Shachar's profile.

Dear Shachar

I want to produce some experimental 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
Shachar
Hi Spektra.

Not sure I understood. Do you want to create random data that would follow these prerequisites?
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#### MelkamuEnglundMelkamu wrote on Englund's profile.

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???