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## Common Statistical Software for Students essay help

Table of Contents

The Different Types of Statistical Software for StudentsWhat is SPSS?What is SAS?Which is Better SPSS or SAS?What is the Difference between Excel and SPSS?What is the Easiest Statistical Software to Use?

After collecting data, researchers and students often wonder what statistical software to use. Therefore, you find them on the internet with searches like, ‘what is the best statistical software for students?’

Statistical software refers to the tools that are used by students and researches in analyzing data. Although students are familiar with data analysis, not all, however, know what the statistical software programs are. Thus, you will find them looking for answers to questions such as, ‘Which software is used for statistics?’ You may also find them asking, ‘Which is the best statistical software?’

## The Different Types of Statistical Software for Students

After a student or investigator collects data, they willhave to analyze it. This is in the data analysis step. Data can be analyzed using different types of statistical software for students and even researchers. It all depends on the data one is investigating, and their knowledge of various statistical software packages. There are a lot of questions online regarding the best statistical software for medical research, programming, and so on. Well, it is essential to state that each statistical software has its pros and cons. So, what may be the best for one field may not be appropriate or effective in another. The various types of statistical software for students include SPSS, SAS, Excel, R, Stata, JMP, and many more.

## What is SPSS?

SPSS is an abbreviation for Statistical Package for the Social Sciences. It is a software package that was created to help in the management and statistical analysis of data. However, it particularly analyzes social science data. The SPSS package was initially launched in 1968 by SPSS Inc. However, in 2009, it was acquired by IBM. Most researchers widely use SPSS whenconducting complex statistical data analysis. It is, therefore, quite popular among researchers and also students. Most investigators love SPSS for several reasons. These include:

It is straightforward. The straightforward aspect makes it easier for any researcher or student to use it during data analysis.

It has an English-like command language, which is a language that most people are conversant with.

Most individuals use SPSS because it has an impressively, thorough user manual. The manual contains direct and precise instructions. These can guide even a beginner on how to use the software package and attain effective results.

What are the Features of SPSS?

The following are the features of this statistical software package:

Creating charts and tables that contain summary statistics over or frequency counts or various cases and variables.

Running inferential statistics, for example, regression, ANOVA, and factor analysis.

Editing data like computing sums and means over columns or rows of data. The statistical package also has exceptional options for more complex operations.

Opening various data files in either SPSS’s file format or any other format.

It stores data in SAV format. These data is particularly from surveys. The storage format makes the protocol of manipulating, analyzing, and recovering the data very straightforward.

One can export data collected via Survey Gizmo from any survey to SPSS for comprehensive and better analysis.

SPSS has easy access to data due to its different variable types. These different types of variables are easy to comprehend. As a result, the statistical software package helps researchers to set up models since the better part of the process is automated.

SPSS has a unique manner of acquiring data from critical data. It utilizes some of its characteristics—for instance, trend analysis, assumptions, and predictive models.

SPSS is quite easy to understand, use, and apply.

The statistical software for students and researchers helps in getting a particular data management system and editing tools at work.

SPSS enables a researcher to obtain comprehensive statistical capabilities that help in analyzing the actual outcome.

SPSS helps in designing, plotting, reporting, and presenting various features for better comprehension and clarity.

What are the Core Functions of SPSS?

SPSS offers four programs that enable researchers to meet their data analysis needs. These four programs are also the core functions of this statistical software for students and researchers. They include:

The Statistics Program

The Statistics program of SPSS provides several primary statistical functions. For instance, it provides features such as bivariate statistics, cross-tabulation, and frequencies.

The Modeler Program

The Modeler program of SPSS allows researchers to develop and validate their predictive models by utilizing specific advanced statistical procedures.

The Text Analytics for Surveys Program

The Text Analytics for Surveys program of SPSS is very useful to researchers and also survey administrators. It helps them to identify powerful insights from responses in the open ended survey questions.

The Visualization Designer

The Visualization Designer program of SPSS enables researchers to use their data in creating a wide variety of visuals with ease. For instance, they are capable of creating like radial boxplots and density charts.

What are the Advantages of Using SPSS?

The benefits of using this statistical software include:

It can take data from almost any type of file and use it to generate data. An individual can then express the data in various forms. For example, they can display it as tabulated reports, charts, descriptive statistics, plots of distributions, and trends.

It is advantageous when it comes to conducting complex statistical analyses.

Can work on a single interface to run either regression, descriptive statistics, advance statistics, and so on.

It is beneficial for both quantitative and qualitative data.

The statistical software package is available for both mainframe and personal computers.

It is quite easy to use.

It offers researchers and students reliable, accurate, and fast answers.

Has very dynamic and beneficial graphs and tables.

It has a large number of statistical tests.

It offers a wide variety of languages, and, therefore, convenient for any individual in any country.

What are the Limitations of SPSS?

Despite most people loving this statistical software for students and researchers, it, however, has some drawbacks. Some of the limitations of this statistical software include:

The default graphics are not close to publication quality

The default graphics are not so good, especially if you are considering publicizing them. Therefore, one has to identify other ways of improving its quality. One can enhance them with chart editing, but only up to a certain point. Additionally, SPSS does not provide any graphic capabilities. For this reason, most students and researchers who want quality graphicsdo not consider using SPSS.

It is expensive

Comparing SPSS to other statistical software for students, SPSS is quite costly. Therefore, some students and researchers always opt to use other cheaper alternatives. So, let it not be a surprise to find students asking, ‘what is the best free statistical software?’ Although SPSS releases ‘new’ versions of the statistical software each year, there are, however, few noticeable changes. So, the charges of the new SPSS version are not realistic, dating to the fact that the changes are quite minor.

Sometimes, it is hard or impossible to acquire the documentation about algorithms

Some time back, an individual could quickly go to a book store and purchase a book of SPSS algorithms. This was among the many reasons why SPSS was the preferred statistical software for students. However, nowadays, it is quite hard to find such information. Additionally, SPSS sometimes uses names for statistics that are unfamiliar or not consistent with the standard uses in books. Therefore, any person using this statistical software might end having a lot of questions to answer. Additionally, it can confuse students who are new in data analysis and are first time users of such statistical software. For instance, SPSS refers to the semi partial correlation a “part” correlation. This can confuse a student on what to refer to such an association.

Information regarding the impact size and confidence intervals for many techniques tends to be missing

Any student or data analyst can compute effect sizes by hand, for example, for t-tests (such as Cohen’s d). However, this does not mean that this statistical software for students should not provide the effect size information. It is essential to remind a student on how to go about it, or merely tell them to do it in case they forget. Besides that information, SPSS does not also offer statistics such as Pearson r and their confidence intervals. This frequent omission of the effect size and confidence interval limits is alarming and worrying. This is because most fields, for example, psychology, are calling for the report of effect size and CIs. However, most students using SPSS cannot perform them because the statistical software does not include them.

## What is SAS?

SAS is another statistical software for students and researchers. It stands for Statistical Analysis System, and SAS Institute developed it. The Statistical Analysis System presents various analytics solutions and SAS business intelligence. It goes to mean that it has a massive impact on the business world, especially. SAS is one of the most frequently used tools when it comes to commercial analytics marketing. It is easy to learn, even for a person who lacks a background in programming. Therefore, even an average individual with primary SQL knowledge can learn how to use SAS.

Data Security of SAS

SAS is a closed source, meaning that its data is highly safeguarded. It operates in a closed environment. Every algorithm that is used in whatever procedure is not disclosed to the public. These security approaches prevent data from manipulation. As a result, most researchers prefer it due to its stable data security.

SAS Application

Some of the SAS application include:

Predictive analysis (for future work).

Factor Analysis (It can be used in identifying the different statistical variables of an outcome. For example, analyzing the quality, price, and feedback while buying a product).

Medicine. It goes to mean that it can be one of the statistical software for students in the medical field.

Minimizing the programming effort and saving both time and money.

Features of SAS

There are two primary features of SAS. These include:

Easy retrieval and management of data.

It leads to effective report writing and graphics usage.

Is SAS Free for Students?

The SAS University Editionoffers a free SAS software. The institution provides free teaching, learning, and research in higher education across the world. The necessary steps for installing this free software include:

Downloading the free Oracle VirtualBox. This is the only thing that has been ‘installed’ on your computer. It is important to remember only to do this once.

Download the free SAS University Edition. This places a pre-installed copy of SAS in the VirtualBox environment.

What are the Advantages and Disadvantages of SAS?

SAS is the market leader’s statistical software when it comes to analytic companies. It has numerous job opportunities in the fields. It goes to mean that it can be easily debugged. However, the disadvantage of using SAS is that the software does not have any fancy graphical possibilities. So, this can be limiting for a creative researcher who wants to utilize various graphics.

## Which is Better SPSS or SAS?

There have been numerous comparisons between SAS and SPSS. Most researchers and students have been comparing these two statistical software packages. So, there are a lot of debates on which is more significant. The fact is that both of them are effective in their way. Each statistical software for students has its pros, roles, and cons. So, it is tricky to state, which is the best analytical software between the two. However, when using the two to analyze similar data, one can know which is better. This is by looking at the one that yields the most effective and accurate results.

## What is the Difference between Excel and SPSS?

There are several differences between Excel and SPSS statistical software for students. We can divide these differences into various categories. These include:

The Definition

SPSS refers to the Statistical Package for Social Science. It is a tool that was formulated to help in the statistical analysis of data. Microsoft Excel is one of the products of Microsoft that people use in data entry and manipulation for information storage.

The Usage

Researchers and students use SPSS in several statistical calculations and the manipulation of data according to the IBM guidelines. On the other hand, researchers use Excel in data management and storage with formulated operations as per Microsoft’s guidelines.

Real-Time Usage

Researchers use SPSS in advanced and ultra-fast devices, for instance, supercomputers. On the other hand, they use Excel in devices that handle and maintain large volumes of client data.

The Benefits

SPSS is one of the preferred statistical software for students and researchers due to its benefits. It has fast speed and exceptional performance. Researchers and students also prefer Excel due to its reduction in data redundancy.

The Academics

SPSS was launched way back and has existed for many years. It was initially under the SPSS umbrella, but currently under IBM. Excel, on the other hand, has also existed for some time now. However, it continues to evolve, thanks to the development in the branch of science and technology.

The Applications

SPSS applies to technical industries and also large scale companies. However, Excel applies to organizations that deal with and manage large scale and sensitive data.

## What is the Easiest Statistical Software to Use?

The most accessible statistical software for students and researchers is the Statistical Package for the Social Sciences (SPSS). It is straightforward to use, and this is one of the primary reasons why most people analyzing data prefer to use this software. Additionally, it offers a wide variety of languages. Therefore, you do not have to struggle to try to master English so that you can use the software. This is another reason why it is quite popular among individuals who are conversant with different languages.

Is SPSS or Stata Better?

The only way to answer this question is by evaluating the differences between SPSS and Stata. The statistical software for students differ as shown:

SPSS entails forecasting and decision trees on data, statistics and charting capabilities, base edition, complex sampling and testing add-on, and advanced statistics and custom tables add-on package. Stata, on the other hand, has different add-on packages. They include Spatial AR models, latent class analysis, markdown, endogeneity, nonlinear multi-level models, threshold regression, finite mixture models, and so on.

SPSS allows for data summarization and display. It gives production-ready analysis that can be exported to several types of documents like Excel and PDF. However, Stata combines sample selection, endogenous covariates, and endogenous treatment models for continuous and positive results.

By looking at these fundamental differences, one can now base their argument on which of the two is better off. Most individuals view SPSS as better off in comparison to Stata.

There is a list of statistical software for students and researchers, including SPSS, State, R, and SAS. A student or researcher must choose statistical software depending on their data analysis needs.

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A baseball is thrown horizontally off a cliff at 9 m/s. The cliff is 51 m high. Ignore air drag. A.) How LONG will it take the baseball to hit the ground?

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