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Questions tagged [hypothesis-testing]

Hypothesis testing assesses whether data are inconsistent with a given hypothesis (usually a null hypothesis of no effect).

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First and foremost, thank you for reading my problems. This is my first time asking on this platform so I apologize if some requirements are not met. I am trying to estimate the effect of multiple ...
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There are many examples in mathematical statistics books like this; "Let $X_1, \ldots, X_n$ be a random sample from some distribution with parameter(s) θ. A UMP (or UMP unbiased) test for testing ...
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Question: If a hypothesis test with level $\alpha$, rejects for a realized sample, will all tests with level > $\alpha$ also reject the same sample? Formally: let $\hat{\psi}_{\alpha} \in \{0, 1\}$ ...
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I conducted an A/B test where the treatment involved offering discounts to customers. However, after the test concluded, I discovered that the discount was not consistently displayed to customers in ...
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I am working with a dataset with measurements that we classify into distinct categories. The primary objective is to determine whether the measurements within each category differ significantly from ...
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I have a generalized additive model of the following form: $E[Y] = \beta_0 + f(X_1) + \beta_2X_2 + f(X_1)\times X_2$ Where $f(X_1)=\sum^n_i\beta_i\boldsymbol{B}_i(X_{1i})$ is a smoothing function and $...
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Does the following hypothesis test meet all the definitions? Select an $\alpha$ (typically $0.05$) Let $A := \lceil -\log_2(\alpha) \rceil$ (where $\lceil x \rceil$ is the smallest integer greater ...
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Why is standard error of an estimator $\hat \theta$ defined as $$se = \sqrt{Var(\hat \theta)}$$ and not $$se = \sqrt {MSE(\hat \theta)} = \sqrt{Bias^2(\hat \theta) + Var(\hat \theta)}.$$ That is, ...
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In frequentist statistics it is common to do hypothesis tests on estimated parameters of (generalized) linear models, e.g. to test whether one of the coefficients significantly differs from 0 or has a ...
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I found a study that reports the following data for two groups: Mean (7.5 and 8.68) Sample size of each group (26 and 22) P-value from the independent one-tailed t-test (0.055) Is there a formula to ...
Álex Rosas's user avatar
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I have the data of an online A/B experiment (e.g. a redesign) and there's a concern about a different effect on different platform - web and mobile. The users was splitted by some identificator, and ...
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I have about 300 students who replied to a psychological test formed of several resilience and vulnerability issues. A typical Likert scale, with "mean scores" as the result. From these ...
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I completed my Master's degree looking at shorebird migration ecology, specifically looking at their behaviour during southbound migration. One component was looking at the conditions upon departure ...
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I have a question regarding the adaptation of the following to the test of single variance components laid out in Raudenbush and Bryk (2002, p. 63-64). The hypothesis is about a single component of ...
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I'm working with the Probability of Improvement (POI) metric described in [1], Section 4.3. The paper introduces various aggregate metrics in Section 4.3, and for most of these metrics (IQM, mean, ...
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An exercise problem from Hogg and McKean's book "Introduction to Mathematical Statistics" is the following Exercise 8.4.1. Let $X$ be $N(0,\theta)$ and, in the notation of this section, let $...
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Recently, my colleague encountered a problem while working with a dataset, df_a, which contains gene data. Each row represents a ...
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I am working on a survival analysis project. For this project, I use this dataset: https://archive.ics.uci.edu/dataset/519/heart+failure+clinical+records I began by importing these libraries : ...
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I have 2 groups - people that were ever active on my website and people who were never active. Activity is a metric based on some actions - both groups of people visited the website. Each group used a ...
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Here is an image of a surface $\mathcal{M}$ of my interest. The surface is estimated from a family of curves $z=f_x(y)$ (each curve is a measured physical profile of some object) assigned with $x$ ...
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Consider a contingency table which contains observation counts that are poisson distributed. In particular, $O_{ij}$ is $Poi(\lambda_{ij})$. If we apply CLT assuming $\lambda$ is large, then we get ...
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First of all, I'm new to Biostatistics (took one Intro to BioStats class more than a year ago), so please be patient with me :-) ... I have a paired survey taken before (F0 survey) and after the ...
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Does there exist a non-parametric test testing the following hypothesis: given $N$ points in $\mathbb{R}^m$ and their ranking $Y$ in $\mathbb{N}$ answer: $H_0:$ there is no minimum or maximum (extrema)...
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I am reading this paper I have difficulty understanding Section 6: A Linear Time Statistic and Test. At the beginning, they claim that $\text{MMD}^2_l$ has higher variance than $\text{MMD}^2_u$ (we ...
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Paraphrasing Casella and Berger (2002): A hypothesis test is defined by a null hypothesis $H_0: \theta \in \Theta_0 $ and an alternative hypothesis $H_1: \theta \in \Theta_0^c = \bar{H_0}$, where $\...
Abhishek Divekar's user avatar

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