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Why IBM SPSS Statistics?

Software ini berguna untuk statistik dan manajemen data pasti dibutuhkan oleh teman yang bekerja di bidang statistik dan pengolahan data. SPSS banyak digunakan dalam berbagai penelitian pemasaran, pemantauan dan peningkatan kualitas (peningkatan kualitas), serta penelitian ilmiah. SPSS pertama kali dirilis pada PC (dapat digunakan untuk komputer desktop) dengan nama SPSS / PC + (versi DOS). Nilai t-statistik tersebut akan dibandingkan dengan nilai t-tabel. Penelitian yang menggunakan tingkat kepercayaan 95% sehingga tingkat presisi atau batas ketidakakuratan (α) = 5% = 0,05, nilai nilai t-tabelnya adalah 1,96. Jika nilai t-statistik lebih kecil dari nilai t-tabel ( t-statistik.

4.1 on 113 votes IBM SPSS Amos is a program that enables you to specify, estimate, assess, and present models to show hypothesized relationships among variables. Programs for query ″ibm spss amos 24 free download″. AMOS is statistical software and it stands for analysis of a moment structures. AMOS is an added SPSS module, and is specially used for Structural Equation Modeling, path analysis, and confirmatory factor analysis. It is also known as analysis of covariance or causal modeling software.

IBM® SPSS® Statistics is a powerful statistical software platform. It delivers a robust set of features that lets your organization extract actionable insights from its data.

With SPSS Statistics you can:

• Analyze and better understand your data, and solve complex business and research problems through a user friendly interface.
• Understand large and complex data sets quickly with advanced statistical procedures that help ensure high accuracy and quality decision making.
• Use extensions, Python and R programming language code to integrate with open source software.
• Select and manage your software easily, with flexible deployment options.

SPSS Statistics is available for Windows and Mac operating systems.

See what's new in SPSS Statistics 27.0.1.0

See what's new in SPSS Statistics 27.0.1.0 Read the blog post

A powerful statistical analysis software platform

Easy to use

Perform powerful analysis and easily build visualizations and reports through a point-and-click interface, and without any coding experience.

Efficient data conditioning

Reduce data preparation time by identifying invalid values, viewing patterns of missing data and summarizing variable distributions.

Quick and reliable

Analyze large data sets and prepare data in a single step with automated data preparation.

Comprehensive

Run advanced and descriptive statistics, regression and more with an integrated interface. Plus, you can automate common tasks through syntax.

Open source integration

Enhance SPSS syntax with R and Python using a library of extensions or by building your own.

Data security

Store files and data on your computer rather than in the cloud with SPSS that’s installed locally.

Take a closer look at IBM SPSS Statistics

SPSS Statistics 27: New release

Learn about new statistical algorithms, productivity and feature enhancements in the new release that boost your analysis.

IBM SPSS Statistics tutorial

Get hands-on experience with SPSS Statistics by analyzing a simple set of employee data and running a variety of statistical tests.

A leader in statistical analysis software

Learn why G2 Crowd named SPSS Statistics a Leader in Statistical Analysis Software for Winter 2020.

Explore advanced statistical procedures with SPSS Statistics

Advanced statistics

Use univariate and multivariate modeling for more accurate conclusions in analyzing complex relationships.

Regression

Predict categorical outcomes and apply nonlinear regression procedures.

Decision trees

Use classification and decision trees to help identify groups and relationships and predict outcomes.

Direct marketing

Identify the right customers easily and improve campaign results.

Forecasting

Build time-series forecasts regardless of your skill level.

Neural networks

Discover complex relationships and improve predictive models.

Categories

Predict outcomes and reveal relationships using categorical data.

Complex samples

Analyze statistical data and interpret survey results from complex samples.

Conjoint

Understand and measure purchasing decisions better.

Exact tests

Reach more accurate conclusions with small samples or rare occurrences.

Missing values

Uncover missing data patterns, estimate summary statistics and impute missing values.

Which option is right for you?

SPSS Statistics Subscription

SPSS Statistics 27

SPSS Statistics Campus Editions, GradPack and Faculty Packs

Next Steps

Program Statistik Amos 3