# Questions tagged [hypothesis-testing]

Hypothesis testing assesses whether data are inconsistent with a given hypothesis rather than being an effect of random fluctuations.

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### Within subject experiments done by (some) Psychologists

Thanks in advance for any responses or resources you can link me to. I've had more of an Econ/Stats training and recently I've been working with some people who have a Psych background at work. They ...
1 vote
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### Determining significant predictors for a dataset with the outcome variable [closed]

I am working on a dataset and trying to get the significant predictors? The dataset contains numeric and categorical variables and there is an outcome variable. What would be the best approach? I am ...
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### Why was the term "significance" ($\alpha$) chosen for the probability of Type I error?

I'm currently studying "Statistics 1" as part of my Computer Science degree, and I'm having trouble understanding the concept of "significance." We were provided with the following ...
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1 vote
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### What is the formula to compute the height of significance line on autocorrelation plot?

Autocorrelation of a time series can be plotted in R with use of acf function. For example: acf(ldeaths) # built-in series I ...
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### How to test for equal spread in bivariate normal samples with equal means?

I'm working with samples taken from a bivariate normal distribution, where the differences in means is not relevant since all samples are scaled to mean (0,0) anyway, and I'm trying to remember how to ...
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### Binomial logistic regression and inter-group comparison

I am interested in exploring the relationship between two categorical variables: "Ethnicity" and "Disease", each with two levels. My primary hypothesis is that individuals with &...
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### Hypothesis testing on total surveys

How should one think about hypothesis-testing ratio scale variables that do not have a distribution resembling a normal/t-distribution, when the data comes from a total survey? Some background: I have ...
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### selecting the most appropriate statistical test for comparison of multiple independent variables belonging to two groups

I want to compare the drinking water chemistry of two areas. A disease is prevalent in one area while the other area is almost free from this disease. I have measured the concentrations of 10 ...
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### Appropriate way to correct for multiple hypotheses with multiple one-way ANOVAs and Tukey's post-hoc

I have a dataset with four groups and 14 different dependent variables. Based on the answer given here, I think the best approach for my analytical question is to perform multiple one-way ANOVAs, ...
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### Help: G*Power Analysis for Correlation and Moderation

I have 3 measures, all scored on Likert style scales and I will be using the sum of items from each as scores. It is a cross-sectional study. predictor variable is attachment style (with two levels, ...
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### Replicate t or F test from regression using regression likelihoods

I've heard that the t-test and F-test we use to get the significance of our regression results are derived from the likelihood ratio test, but I'm having trouble replicating the p-value of the t/F ...
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### Predict benefit of gathering additional data

I have generated data upon which I then perform thousands of independent tests and look for which are significant at a p-value threshold of 0.01 after multiple hypothesis correction. This gives useful ...
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1 vote
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### Interpretation of ADF test output with R

I Run ADF test with R for 3 different models include,1.No deterministic terms, 2. with constant and 3.constant and trend based on the below code where all model specifications employ a lag-order of p =...
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### Binomial Test for data with normally distributed messurement error

I have a series of measurements and I want to perform a binomial test to see if the chance of exceeding some value $a$ is less or equal to some $p_0$. The measurement has some error which is normally ...
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### Statistical test for bias to even sizes

I'm studying an experiment which should follow a type of birth-death process, which tells me the number of cells at a certain time from the same lineage. So, I have a discrete empirical distribution ...
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### Gaps (misinterpreting perhaps) between chi square sig and Cramer’s v

I did chi square test for independence and Cramer’s V test. I’m having problems with interpret the results. I checked if there is a connection between gender and dropping out of school (in SPSS). My ...
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1 vote
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### Degrees of freedom for estimation

In the context of estimators, why is it that in general dividing by the degrees of freedom(instead of the sample size) leads to unbiasedness? I see the value in substituting degrees of freedom for ...
1 vote
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### Is hypothesis test an intuitionist approach? [closed]

In statistics, the hypothesis testing is used for determining whether the null hypothesis can be rejected or failed to reject. For example, we use hypothesis testing in order determine the ...
1 vote
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### Mediation: only c path and b path are significant?

I have done a mediation analysis in which nature contact is the independent variable, worrying is the mediator and depressive symptoms the dependent variable. I performed a mediation via PROCESS. The ...
1 vote
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### Region of Practical Equivalence (ROPE)

I seek to understand how to employ the Region of Practical Equivalence (ROPE), so I conducted a basic Bayesian analysis of disease incidence rates on a public data set. Is my rationale sound regarding ...
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### Loop through chisq.test RStudio [migrated]

I am trying to perform chisquare tests on about 30 variables. I tried to write a for loop to no luck. The loop should also save the p-value of each test. I have used this kind of setup before, in ...
1 vote
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### How can I test if two variables are correlated with each other with a pre-specified coefficient? [duplicate]

How can I test the hypothesis that two variables are correlated with each other at r=1? I am not looking for a Pearson or Spearman test. That can give me a p<0.05 if the two variables are ...
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### General Lower Bound of Power in Neyman-Pearson

Let $X$ be an $\sigma$-finite space $(\mathcal{X}, F_{\mathcal{X}}, \nu)$ valued absolutely continuous random variable whose distribution is one of $P_0 = f_0(x)d\nu(x)$ or $P_1 = f_1(x)d\nu(x)$. We ...
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