# Tag Info

### What hypothesis test should be used for two categorical variables in Likert scale?

I see several issues with the example, and I will offer a suggestion. Your data is essentially paired; the same subject answered the 2 questions (take meds; feel unwell). But a $\chi^2$ test loses ...
• 2,309

### What hypothesis test should be used for two categorical variables in Likert scale?

The chi-squared test will test independence against the alternative of any kind of dependence, including a non-monotonic one. You need to decide whether you are really interested in this. The chi-...
• 26.2k
1 vote

### How to hypothesis test week-over-week metric for "significance", contrasting between test and control groups?

A few comments and a few suggestions; hopefully this helps you find the proper answer. The simplest, most direct answer to your question ("Is there another way for me to test the results, ...
• 2,309
1 vote

### I have count data, but it does not follow a Poisson distribution, what to do?

Poisson, negative binomial, and binomial distribution models are highly parametric, and model assumptions often do not hold. I would use a semiparametric model that does not assume a specific ...
• 95.7k
1 vote

### I have count data, but it does not follow a Poisson distribution, what to do?

First, as @NickCox points out in another answer, a main idea in a Poisson count model is that you are modeling the log of the mean counts as a function of predictors. You can always try such a model. ...
• 96.1k
1 vote
Accepted

### Pearson chi square and correlation

"chi squared test value is 4.664 And asymp sig is 0.97 so the data are independent". I don't agree with this statement. You do not know that the data are independent. You have failed to find ...
• 18.3k

### I have count data, but it does not follow a Poisson distribution, what to do?

Here's a rough analysis. Using a Poisson model doesn't depend really on anything being Poisson distributed. The main idea is just $y = \exp(Xb)$. I stopped short of wondering about interaction terms, ...
• 58.3k

### Why is my pvalue for chisquared test so high?

It's not clear where your doubt arises. The standard error of your proportion (either one) under $H_0$ is $\sqrt{\frac{1\times 3}{4\times 4 \times 100000}}\approx 0.00137$. Meanwhile the "error&...
• 286k
Accepted

### Why is my pvalue for chisquared test so high?

Whether you meant to do this or not, your null hypothesis is that there is a 3:1 ratio. Indeed, there is such a 3:1 ratio at the population level, and your empirical data show roughly a 3:1 ratio. ...
• 65k
1 vote

### The F-test and the t-test reject the null hypothesis while the KS test and the Chi-Squared test do not

The lack of rejection by those tests is not a confirmation of their null hypotheses. What the lack of rejection means is that there is insufficient evidence for that particular test to refute the null ...
• 65k
1 vote
Accepted

### Compare the proportion of multiple diseases between 2 groups

I would fit some sort of cross-sectional multinomial model with exposure and time period as covariates (ideally with other variables as well to control for the confounders that Adam mentioned). This ...
• 37.3k
1 vote

### Compare the proportion of multiple diseases between 2 groups

When performing an epidemiologic analysis of prevalence from panel data - i.e. data where individuals are measured at several longitudinal timepoints, the number of cases considered in analyses are a ...
• 63.7k