Statistical Analysis in JASP: A Guide for Students (v1.0)

PREFACE

JASP stands for Jeffrey’s Amazing Statistics Program in recognition of the pioneer of Bayesian

inference Sir Harold Jeffreys. This is a free multi-platform open-source statistics package, developed

and continually updated (currently v 0.9.0.1 as of June 2018) by a group of researchers at the

University of Amsterdam. Their aim was to develop a free, open-source programme that includes both standard and more advanced statistical techniques with a major emphasis on providing a simple

intuitive user interface.

In contrast to many statistical packages, JASP provides a simple drag and drop interface, easy access
menus, intuitive analysis with real-time computation and display of all results. All tables and graphs
are presented in APA format and can be copied directly and/or saved independently. Tables can also
be exported from JASP in LaTeX format JASP can be downloaded free from the website https://jasp-stats.org/ and is available for Windows, Mac OS X and Linux. You can also download a pre-installed Windows version that will run directly from a USB or external hard drive without the need to install it locally. The programme also includes a data library with an initial collection of over 50 datasets from Andy Fields book, Discovering Statistics using IBM SPSS statistics1 and The Introduction to the Practice of Statistics2 by Moore, McCabe and Craig.

Since May 2018 JASP can also be run directly in your browser via rollApp without having to install it on your computer (https://www.rollapp.com/app/jasp). However, this may not be the latest version
of JASP.

Keep an eye on the JASP site since there are regular updates as well as helpful videos and blog posts!!  This document is a collection of standalone handouts covering the most common standard
(frequentist) statistical analyses used by students studying Biological Sciences. Datasets used in this
document are available for download from http://bit.ly/2wlbMvf.

Statistical Analysis in JASP - A Students Guide v1.0 by TinoRepaso on Scribd

Let's Review Statistics

Send us your answer or post them on the comment section.

Image source - http://www.mathsisfun.com/data/standard-normal-distribution.html

A study found there's only a small correlation between winning cheerdance competition and number of hours of practice in cheerdance. The correlation shows that a very weak relationship demonstrates  the chance of winning  top prize with that of number of hours of practice in cheerdance. Such correlation would be demonstrated by a score of
a) -.50
b) +.99
c) +.10
d) .00




In the recent concluded Psychometrician licensure exam, when the result of top performing schools were plotted in a normal distribution, it was found that PUP scored 1 standard deviation above the average. So what percentage of schools scored higher than PUP?

a) 25%
b) 34%
c) 50%
d) 15%




Performing well in the recent Psychometrician licensure exam and a score that is 2 standard deviations above the average in a normal distribution. Your score is better compared to what percentage of the population?

a) 68%
b) 95%
c) 50%
d) 88%




Performing poorly in the recent Psychometrician licensure exam and a score that is 0.5 standard deviations above the average in a normal distribution. How many test takers scored lower than your score?


a) 69.1%
b) 55.5%
c) 96.0%
d) 82.2%




What is the median of the following distribution - 2, 3, 9, 7, 6, 4?
a) 6.5
b) 5.5
c) 6
d) 5




Juan got a score of 145 in the Psychological Assessment exam with a mean of 100 and a standard deviation of 15. What is his equivalent z score?

a) +2.5
b) +1
c) +2
d) +3





Online Quiz/Reviewer Links (4 Subjects)

https://www.facebook.com/notes/philippine-psychometrician-reviewer/online-reviewer-links/273294872880999



Related links:

http://www.mathsisfun.com/data/standard-normal-distribution.html

http://www.slideshare.net/yanloveaprilbordador/filipino-psychology-concepts-and-methods

http://www.learningcommons.uoguelph.ca/guides/university_learning/handouts/highlighting.pdf

https://en.wikipedia.org/wiki/Spearman%27s_rank_correlation_coefficient

https://en.wikipedia.org/wiki/Pearson_product-moment_correlation_coefficient

https://en.wikipedia.org/wiki/Regression_analysis

https://en.wikipedia.org/wiki/Multivariate_analysis_of_variance

https://en.wikipedia.org/wiki/Analysis_of_covariance

https://en.wikipedia.org/wiki/Analysis_of_variance

http://www.mathnstuff.com/math/spoken/here/2class/90/stanine.htm

http://www.mathsisfun.com/data/percentiles.html

http://www.mathsisfun.com/data/skewness.html

http://www.mathsisfun.com/data/quartiles.html

http://www.mathsisfun.com/data/random-variables-mean-variance.html

http://www.mathsisfun.com/data/correlation.html

http://www.mathsisfun.com/data/standard-deviation.html