JMP Trainings: Basic JMP is vital to develop analytical skills. Better decisions are outcome of such skills and itâ€˜s for both researchers and business managers.

What you will learn:
1. Quantitative data collection,
2. Data entry, data cleaning, analysis and decision making using JMP
3. From problem statement to research questions and frameworks (models)     and/or hypothesis testing using JMP
4. Differentiate different statistical tests to solve problems using JMP
5. Writing Interpretation and report.

The focus of this class is on using SPSS to solve problems.

Subjects that we cover:
- Basic Statistics using JMP
- Inferential Statistics using JMP
- Type of variables and measurement levels in JMP
- Sample and Population
- Data with JMP
- Entering and Cleaning Data using JMP
- Descriptive Statistics using JMP
- Frequency tables, Pie chart, Bar chart, Histogram using JMP
- Mean, Mode, Median using JMP
- Skewness, Standard Deviation, Variance using JMP
- Hypothesis Testing for differences
- t-tests using JMP( 1-sample test , 2-smaple test and paired t-test)
- Analysis of Variance (ANOVA) using JMP
- Hypothesis Testing for Relations using JMP
- Graphing scatter diagram using JMP
- Correlations and Regression Analysis using JMP(Simple linear regression)
- graphing results using JMP and data visualization basics
Decision Analysis using the results of JMP
Interpretation, sensitivity analysis, writing report, conclusion and more.

- Review of Descriptive Statistics,

- Scale of Measurement
- Tests & Assumptions
- Multivariate Statistics using JMP
Why Study Multivariate Statistics using JMP
Univariate and Bivariate Statistics using JMP
- Reliability using JMP

- Data Appropriate for Multivariate Statistics using JMP
Correlation and Partial Correlation using JMP
Hypothesis Testing using JMP
- Multiple Regression using JMP (1)
General Purpose and Description using JMP
Theoretical Issues: Assumptions using JMP
Data Analysis and Interpretation using JMP
- Multiple Regression using JMP (2)
Factor Analysis using JMP(Exp. & Com.)
Basics of Logistic Regression using JMP(LR)
Interpretation of LR
- Statistical technics to compare groups using JMP(1)
Non Parametric statistics using JMP
T test using JMP
One way ANOVA using JMP
- Statistical technics to compare groups using JMP(2)
Two ways ANOVA using JMP
MANOVA using JMP
Analysis of Covariance using JMP(ANCOVA)
Introduction to SEM using JMP (Structural Equation Modelling)

Why JMP?

JMP is an integrated set of analysis tools and modules for the whole analysis process from questionnaire design and improvement, data collection and data cleaning to organizing, data visualization, graphing, presenting and analyzing data. JMP is very user friendly and more informative than many other softwares. In addition, JMP can be connected to SAS and you can create SAS codes using JMP.