It is well known that the two-sample Student t test fails to maintain its significance level when the variances of treatment groups are unequal, and, at the same time, sample sizes are unequal. However, introductory textbooks in psychology and education often maintain that the test is robust to variance heterogeneity when sample sizes are equal. The present study discloses that, for a wide vari...

INTRODUCTION Suicide is a great economical, social and public health problem. It is prevalent worldwide and has a lot of negative effects on individuals, families and society. Depression is often prelude to Suicide. An important part of the treatment of the mentally ill patients is spiritual-religious psychotherapy which should be done after physical treatment. The aim of this study was to dete...

This study focused on the effect of micro-credit on the profitability of crop production in Orhionmwon Local Government Area of Edo State, Nigeria. A sample size of 166 small-scale farmers was randomly selected from the farming communities in Orhionmwon Local Government Area. Ninety two (92) beneficiaries and 74 non-beneficiaries were randomly selected from the study area. A well-structured que...

We derive the closed-form restricted maximum likelihood estimator and Kenward-Roger's variance estimator for fixed effects in the mixed effects model for repeated measures (MMRM) when the missing data pattern is monotone. As an important application of the analytic result, we present the formula for calculating the power of treatment comparison using the Wald t-test with the Kenward-Roger adjus...

Radioligand positron emission tomography (PET) with dual scan paradigms can provide valuable insight into changes in synaptic neurotransmitter concentration due to experimental manipulation. The residual t-test has been utilized to improve the sensitivity of the t-test in PET studies. However, no further development of statistical tests using residuals has been proposed so far to be applied in ...

MOTIVATION Microarray data typically have small numbers of observations per gene, which can result in low power for statistical tests. Test statistics that borrow information from data across all of the genes can improve power, but these statistics have non-standard distributions, and their significance must be assessed using permutation analysis. When sample sizes are small, the number of dist...

This paper compares the type I error and power of the one- and two-sample t-tests, and the one- and two-sample permutation tests for detecting differences in gene expression between two microarray samples with replicates using Monte Carlo simulations. When data are generated from a normal distribution, type I errors and powers of the one-sample parametric t-test and one-sample permutation test ...

The testing and evaluation of biometrics is a complex and difficult task. The difficulties in such an endeavor include the selection of the number and type of individuals that will that will participate in this process of testing. Determining the amount of data to be collected is another important factor in this process. Choosing an appropriate set of individuals from which to collect biometric...

Aim/Purpose: The aim of this study was to identify the critical predictors affecting project desertion in Blockchain projects. Background: is one innovations that disrupt a broad range industries and has attracted interest software developers. However, despite being an open-source (OSS) project, maintenance ultimately relies on small core developers, it still uncertain whether technology will c...