Assessing normality for data with different sample sizes using SAS, Minitab and R

QR Code

Assessing normality for data with different sample sizes using SAS, Minitab and R

Different statistical packages may produce different results of statistical analysis such as normality test. One of possible sources of the difference is the computational approach. This study tries to explore results of normality tests based on different statistical packages. Empirical data with va...

Full description

Bibliographic Details
Main Authors:	Fitrianto, Anwar, Low, Yen Chin
Format:	Article
Language:	English
Published:	Asian Research Publishing Network 2016
Online Access:	http://psasir.upm.edu.my/id/eprint/55127/ http://psasir.upm.edu.my/id/eprint/55127/1/Assessing%20normality%20for%20data%20with%20different%20sample%20sizes%20using%20SAS%2C%20Minitab%20and%20R.pdf

Similar Items

Kursus DOE With Minitab tarik minat peserta
by: Shalfarina, Shahriman
Published: (2017)

Generating correlated discrete ordinal data using R and SAS IML.
by: Ibrahim, Noor Akma, et al.
Published: (2011)

The use of SAS for enterprise data management
by: Aliyu, Mansur, et al.
Published: (2011)

Factor structure of Statistical Anxiety Scale (SAS) for a Malaysian sample
by: Abd Hamid, Harris Shah, et al.
Published: (2014)

Performance of ridge regression estimator methods on small sample size by varying correlation coefficients: a simulation study
by: Fitrianto, Anwar, et al.
Published: (2014)

Introducing Sustainability Assessment and Selection (SAS) into Chemical Engineering Education
by: Mohamad Rizza, Othman, et al.
Published: (2012)

Comparison Between Sas And Spss
by: Quah, Soon Hoe
Published: (1990)

Learning and using SAS in agricultural research
by: A. Halim, Ridzwan, et al.
Published: (1987)

An Improved Variable Sample Size And Sampling Interval S Control Chart
by: See, May Yen
Published: (2018)

Effect of pressure on the microencapsulation of virgin coconut oil by supercritical anti-solvent (SAS)
by: Hee, Yen Yi, et al.
Published: (2016)

Students advisee system (SAS) / Bahariah Napiah
by: Bahariah, Napiah
Published: (2003)

Statistical Analysis System (SAS) for agricultural research
by: Haruna, Ahmed Osumanu, et al.
Published: (2017)

Measuring Symptom Distress in Palliative Care: Psychometric Properties of Symptom Assessment Scale (SAS)
by: Aoun, Samar, et al.
Published: (2011)

Atomistic modelling of scattering data in the Collaborative Computational Project for Small Angle Scattering (CCP-SAS)
by: Perkins, Stephen J., et al.
Published: (2016)

Student attendance system based on random code (SAS)
by: Shaza Akmalina, Badrul Kamal
Published: (2019)

Development of spreadsheet analysis (SAS) for DFA house methodology
by: Ahmad, Rozie Nani
Published: (2004)

Use and abuse of some SAS/STAT procedures in agricultural experiments
by: A. Halim, Ridzwan, et al.
Published: (1988)

Feature selection by mutual information: robust ranking on high- dimension low-sample-size data
by: Chin, Fung Yuen
Published: (2024)

Improved normalization and standardization techniques for higher purity in K-means clustering
by: Dalatu, Paul Inuwa, et al.
Published: (2016)

UPM dan SAS perkasa industri akuakultur di Pahang
by: Universiti Putra Malaysia, Pusat Strategi dan Perhubungan Korporat
Published: (2023)

JMASM37: Simple Response Surface Methodology Using RSREG (SAS)
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2016)

Comparative analysis on ecosystem diversity indices using SAS computer programming
by: Mohd Rashid, Mansor, et al.
Published: (1999)

Online handwritten signature recognition by length normalization using up-sampling and down-sampling
by: Malallah, Fahad Layth, et al.
Published: (2015)

Sensitivity of normality tests to non-normal data
by: Nor Aishah Ahad,, et al.
Published: (2011)

The scope of computer program protection after SAS: are we closer to answers?
by: Gervais, Daniel, et al.
Published: (2012)

Rhizofiltration Process To Remove Organic And Heavy Metals In KotaSAS Lake
by: Nur Hanisah, Shamsudin
Published: (2023)

A new adaptive test for paired data for small to moderate sample sizes.
by: Shitan, Mahendran, et al.
Published: (2012)

Testing differences between two samples of continuous data
by: Pereira, Sandra, et al.
Published: (2010)

Tax knowledge and compliance behavior under Self-Assessment System(SAS): perception of students from higher education in Malaysia
by: Liew, Wei Lee, et al.
Published: (2017)

Estimation of genetic correlations on sweet corn inbred lines using SAS mixed model
by: Kashiani, Pedram, et al.
Published: (2010)

Sistem Pengurusan Pelajar (Student Administation System-SAS) / Masdianilavati Mohd Jumari
by: Masdianilavati, Mohd Jumari
Published: (2002)

Phytoremediation: Treating Euthrophic Lake at KotaSAS Lakeside, Kuantan by Aquatic Macrophytes
by: Muhammad Haziq, Jamil, et al.
Published: (2019)

Log-normal nanograin-size distributions in nanostructured composites
by: Lu, Chungsheng, et al.
Published: (2008)

Surveys: Sample sizes and response rates
by: Craig, S., et al.
Published: (2013)

A Comparison between Normal and Non-Normal Data in Bootstrap
by: Asmala, A.
Published: (2012)

Assessing vocabulary size through multiple-choice formats: issues with guessing and sampling rates
by: Gyllstad, Henrik, et al.
Published: (2015)

Effect of input convergence using different size of input data
by: Nur Nabihah Rusyda, Roslan, et al.
Published: (2022)

Stress effect study on 6 different pattern of tyres for size 175/70 R13
by: Syahril Azeem Ong, Maliki Ong
Published: (2008)

The tensile performance of r-PET bottle string: effects of different string sizes and cutting axes
by: Nasir, Khairani, et al.
Published: (2019)

Sampling Size and Auditors' Judgments: A Simulation
by: Abdul Hamid, Mohamad Ali, et al.
Published: (1996)