can we say every disjoint events are dependent events ?]]>

You can assume said player plays for the team that wins.

Thanks.]]>

For illustrative purposes, let's assume that two groups of people (

Testing hypothesis of difference in factor loadings across multiple scales in two questionnaires]]>

I am trying to calculate an Australian end of decade top 100 chart for the decade of the 70s, something that was never done in Australia. I am going to use it as the basis for a community non for profit radio show I produce. Such an end of decade chart was done for the 1980s in AUS. I have the end of decade...

Top 40 charts statistical analysis challenge - Where should I post this question?]]>

I need to define the loss of some cells with differential size. In the control population, size distribution is bimodal, each peak seems pretty much gaussian except for the overlapping tails (see attachment). In my cases, cell loss is obvious even though with different magnitude between subjects (from 30% total remaining cells to less than 5%), but I wanted to explore if the loss is homogeneous between the two cell families or if one is more affected.

I came up with two...

Bimodal distribution analysis]]>

I wish to look at the correlation between blood pressure and IQ score, sample size is relatively small, N=58.

I have so far performed a Spearman's correlation, but I wish to adjust for confounding variables.

What is the best statistical method to use? Should I use something else than Spearman's?

I'm using STATA.]]>

A Fantastic Hyderabad Escorts, Who Arouses Naturally.]]>

I am trying to see if my population change their alcohol habits between before and after an psychosocial intervention.

We asked the participants : how many days per week do you consume alcohol ?

a. Never

b. 1 to 2 days per week

c. 3 to 4 days per week

d. 5 to 6 days per week

e. every days

We asked the same question a month later to the same participants after giving them an intervention.

I thought of using chi 2, but my groups are not...

Categorical variable ; pre and post intervention]]>

The routines I've seen so far on the internet want to normalize my data first so that I get a perfect normal curve - not what I'm looking for.

Thanks for your ideas and help.]]>

I have to compare two fitnesstrackers: W1 and W2 and select the most accurate one, the most performant one in measuring HeartRate data.

For that, I measured for each of my 10 participants their heartrate using: an Electrocardiogramm (ECG), W1 and W2.

Now for each of my participants, I have 4 same size column data (the time of the data, the ECG data, W1 and W2 data).

The ECG data are for me the reference: those data are the 'true' ones. I want to compare W1 data and W2...

Which statistical test to use to compare 3 measure instruments?]]>

(I'm working in RStudio)

Here is my data:

> X

[1] 70 60 60 57 100 100 75 60 65 70 120 60 65 60 80 90 65 80 75 75 100 65 90 60 150 60 65 75 75 85 50 75 90 100 60 85

[37] 80 65 80 80 100 110 90 80 85 60 65 70 65 80

I first used the table() function to see the frequencies of my data. My plan is to use these...

How do I test if my data is Poisson Distributed?]]>

I conducted a research experiment using the constant stimuli method, with a 2 Alternative Forced-Choice (2AFC) test. I would like to fit a logistic regression to this data. The "scaled" logistic regression for a 2AFC is :

P(c) = 0.5 + 0.5(1/(1+e^-(b0 + b1*c))

Does anyone know if this can be implemented in SPSS, or if a data transformation could help? Thanks]]>

Currently I working with SPSS to analysis and I have the problem the following:

I have my dataset long shape like:

serial relationship

1 Head

2 spouse

3 child

4 child

1 head

2 spouse

3 child

4 relation

.

.

.

so on

My question: how create new variable (ID) to repeat number from 1 to 4 at first household and repeat number 2 from 1 to 4 at second household base on the serial number as I mention above?]]>

- Is it legitimate to use a test for comparing
**independent**correlation coefficients instead? My understanding is that the only drawback is that this would compromise power (SOURCE). Since I'm running power simulations, this shouldn't be a problem? - If this is not possible, I would like to know if...

Comparing two dependent, non-overlapping correlations]]>

I have to analyse parts of a larger dataset and I have been trying for a while to decide which statistical test is most appropriate but I can't seem to work it out. I was wondering if someone could give me some advice or point me in the right direction?

The dataset is based on populations of a predatory mite species and the overall question I am trying to answer is: Is there an overall difference in the interaction period of the predator with the prey between populations from...

Comparing one variable between multiple populations, how to test?]]>

Setting up the model is no real problem, I do this by

ZAGA_Model = gamlss(formula = y~., sigma.formula = y~., nu.formula = y~., data = train_data, family = ZAGA)

Now when trying to get predictions for a new data set I am using the predictALL function...

Understanding prediction output of zero-adjusted gamma model]]>

Might anyone know why, when running multilevel (mixed effects) models with REML I get completely different results when I run the same models with robust variances? I originally chose REML because I have a small number of clusters (11). However, when plotting the residuals for a particular model, it was clear that they were nowhere near normally distributed. I re-ran the model using robust standard errors (the robust option is not available with REML in stata), and the...

Robust standard errors and REML]]>

So...at first I thought this would be easy...

Is this group of data different from the rest: From ANOVA to...]]>

With South Carolina in the books -- for Biden, big-time -- and Super Tuesday on deck, let's revisit the implied probabilities:

Good ol' Joe has made a significant gain in implied probability -- up 5X since we last checked -- but Bernie remains the heavy favorite in this horse race to Milwaukee...

Election 2020]]>

I will try to explain to the best of my abilities.

My coworker and I has been tasked with finding out how a turning machine in our production facility performs, but we have do this retrospectively - if possible, we will use data from very recent productions.

The machine is running for days - and during that time two items will be taken and meausured in succession every few hours. We have been discussing removing operator influence, along with other external influences. My coworker...

Removing influences (operator, material differences) from samples]]>

I hope this post finds you all well!

I am conducting a research on the educational attainment of children of immigrants. Two of my control variables are the level of education of father and the mother of the child. I have been suggested to combine these two variables into one, but I cannot find any article in which similar variables are merged together.

Both of my variables are categorical and are structured as follows:

What's your mother/father highest level of education...

Mother and father level of education into a single index/variable]]>

The independent variable is Sexual orientation which has 4 possible selections (0,1,3,4) and the dependent is the shopping category which has 2 possible selections (0 or 1).

What is want to compare is if 0 and 1 from the independent variable have any statistically significant difference as to their selection of 0 and 1's for the dependent variable and if 3 and 4 from...

What test to use to compare two categorical variables in groups]]>

I ran an experimental study with a within-subjects design. Subjects learned words under 4 different conditions (A,B,C,D), 30 words in each condition. Shortly after, they did a yes/no recognition test for these 4 item types, mixed with new unseen words. I also measured another variable (X) that I thought might predict recognition, which is...

Advice on repeated measures ANOVA vs multi-level model]]>

To give you some context, I work with DNA methylation data investigating what changes might occur in response to exercise. My interest is manly at the response at the individual level. To be able to investigate consistent changes in DNA...

p-values histogram for random effects]]>

I have an initial study that has 6 subjects (all treatment group) and a follow-up study with 60 subjects (randomized into treatment and placebo 1:1).

Can I find the probability of any of the 60 subjects experiencing an Adverse event, if >=33% of the 6 subjects develops an Adverse event. I was going to try to use PROC POWER in SAS for this, but was unsure where to start.

Thank you!]]>

A different question. So you get, for a quantitative variable the following estimate.

Tuition 0.0761

tuition is measuring how much we spend on higher education running from 0 dollars to thousands. But what is a unit here, assuming you don't transform any numbers. Is it a dollar.

I am not...

proc genmode]]>

New user here, I hope I'm posting in the right section!

I was having some issues trying to figure out if/how I can apply a chi-square test to my problem.

I know how to deal with and interpret a case where I have only 2 mutually excluding groups, like male/female, and I want to determine whether a certain disease is more common in one of the groups. The null hypotheses is that there's no difference in the distribution of the disease between males and females.

I can organize the...

Chi-square test for multiple rows contingency table]]>

Looking in the article "Pre-post effect sizes should be avoided in meta-analyses" the authors state that "One important reason why pre-post SMDs should be avoided is that the scores on baseline and post-test are not independent of each other." And that "The value for the correlation should be used in the calculation of the SMD, while this value is typically not known."

How DO you "use" it, the correlation value? I have done my...

The impact of correlation on estimation of effect size pre- post-treatment]]>

ROPE value in Bayesian Regression]]>

I have a data set of students and I need to fit a regression model to predict the probability of a student will graduate college with a GPA => 3.4 or lower. I will be using age, gender, race and high-school GPA as my explanatory variables.

Do I need a logistic or linear regression and how do I set it up?

Thank you,

Alex]]>

The paper (ref below) is a cohort study into opium use and all-cause mortality, it's results are hazard ratios. They reported an adjusted hazard ratio of 1.86 (1.68-2.06) for those who used opium during the study period. Which makes sense. In subgroup analysis almost none of the other exposures (sex, ethnicity etc) had significant interactions...

Interpreting hazard ratios]]>

If I had a data set of 10 points, and I chose to add 4 new data points to it for example, can I use the same original standard deviation? Or must I re-calculate it? Is it possible to add the new data points with a specific number in which the standard deviation will stay the same as originally?

Thanks!]]>

For example, if you have heights from a population with µ = 63.5 and σ=2.80, and you want to find the probability that a randomly selected person has a height of less than 70.0 inches (so, we are working in decimal inches). You get z = (X-µ)/σ = (70.0-63.5)/2.80 = 2.32142857143.

If you are using a table...

Significant figures and normal distribution probabilities?]]>

Single fall total: 304

Single Fall - No injuries: 227

Single Fall - Minor injuries: 66

Single Fall - Moderate...

Comparing two groups of data]]>

I am a Writing & Rhetoric PhD student working on a CFP for an assessment journal.

Long story short, we have developed a student scorecard for writing (self-assessment) that we want to try to correlate to scoring on a more standardized writing rubric (see attached).

The student scorecard is on the left (with made-up scores) and the AWC rubric is on the bottom (with made-up scores).

How might we analyze the correlation between these...

Writing Assessment Study - question about correlation]]>

At the uni we did a research in our group and used a correlational test to investigate the relationships... however our degrees of freedom equaled to the sample size (df = n) and when the tutor was asked why it isn't n - 2 she said it was because we were not interested in the population, but she couldn't explain it further.

Could someone please explain in what cases df = n and why...

I cannot find...

Degrees of freedom in correlational test]]>

I am in doubt about which test I should conduct. My indepent variable is dichotomous: values 0 = no presence of female combatants in conflict and 1= presence of female combatants in conflict). So indepent variable is eiter no/ yes My dependent variable is the duration of conflict in days.

Hope someone can help me out!

Best,

Annabel]]>

I'm trying to propagate errors.

The function is F= sum_i A_i*B_i

Each element of A,B has associated errors, the errors on B are uncorrelated, but the errors on A are correlated by the constraint

sum_i A_i =1.

I can work out the off diagonal terms of the variance-covariance matrix for the case when A & B have 2,3 elements. But I can't work it out from greater number of elements.

Is this possible? and if so how?

Thanks]]>

I am currently trying to build a linear mixed model with repeated measurements in SPSS. I would expect that the correlation between my measurements is highest at adjacent time points, so my guess was that AR1 (autoregressive structure) is the right covariance structure in my case.

My syntax for this first model (model1) is:

MIXED measurement BY female meadiansplit time WITH age

/CRITERIA=DFMETHOD(SATTERTHWAITE) CIN(95) MXITER(100) MXSTEP(10) SCORING(1)...

Selection of the correct covariance structure – linear mixed model in SPSS]]>

I cannot figure out how to generate the means to...

HELP - Sampling Data]]>

We run laboratory testing and often check sets of data for significant difference to confirm that test results are not changing. I usually get a sample to be tested 6 times and then later get the same sample repeated 6 times again. I then compare the 2 sets of 6 data results by t-test and get a p score telling me if the 2 sets of results are significantly different...

Test significant difference question]]>

I am new member and really not getting anywhere on how to calculate moving average coefficients. Need experts help on how can I resolve it.]]>

Does anybody know the protocol for when you use two different methods to create confidence intervals and get differing results in the test.

I ran a test for a parameter estimation MLE and got different results for my confidence interval. And would like some advice.

For example,

you have a null hypothesis

H0 : m = 20

HA: m is not equal to 20.

Then you use one method for hypothesis testing and you get a confidence interval

(10,15) (reject the null)

Then you use a different...

using differing methods for confidence intervals with differing results]]>

- A student computed the mean of a particular sample to be 40. After computing the mean, he discovered that he forgot to include the number 36 to the sample. When this number was included. The sample mean changed to 39.5. What is the sample size (n) including the number 36?

I am involved in the tropical fish hobby and we often go to auctions to purchase fish to breed. Which means we need a PAIR.

My assumption is that when purchasing a bag of 3 fish, the BUYER has a 50% chance of getting a pair. The BUYER could have: all males, all females, a trio (1 male 2 females) or a reverse trio (2 males 1 female).

A fellow stat friend of mine says this is wrong as the placement of each fish in the bag by the SELLER...

Probability of a Pair of Fish!]]>

I am in the beginning of a statistics project in my master's course which will be focusing on regression analysis later on. We have not yet done any regression analysis but have been asked to turn in a paper on initial findings and analysis, but I am having a lot of trouble in how I exactly interpret my results.

We are doing a study on how religious beliefs in Africa affect political scale (0 being left-wing, 10 being right wing). Our main assumption was that those who are...

How to interpret relationship between variables when one value has a disproportionate number of samples]]>

CLASS '2FL'n '10FL'n / PARAM=REFERENCE REF=Last;

So if you have 0 and 1 is 0 last or 1.

It appears that this only allows last or first. You can not set ref=1 or 0. I am not sure what ordered last or first means.]]>