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SPSS is known as the 'Statistical Package for Social Sciences'. This tool was developed by IBM in 1968. This is widely used for doing statistical analysis of the information/ dataset. SPSS is the preferred platform by researchers for performing an extensive analysis of the data. SPSS is also widely used by market researchers, survey companies, government organizations, education researchers, data miners, and marketing companies to process and thoroughly analyze survey data.

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SPSS finds applications in a range of statistical concepts. Listed below are some of the popular statistical concepts that will be used in solving the assignments using the SPSS tool

**Descriptive statistics**: It explains the features of the data gathered from the conducted study by providing samples of the summaries. There are other statistics such as descriptive radio statistics, cross-tabulation, and frequencies that come under this type of method. Our experts carry vast experience in solving assignments on Descriptive Statistics.**Bivariate statistics**: This is a form of quantitative statistical analysis that determines the relationship between two different variables. The techniques used include analysis of variance (ANOVA), correlation, and non-parametric tests. If you are stuck in solving assignments on such topics, then you can simply hand over the incomplete task to our experts. Our statistics experts offer the best-in-class**SPSS assignment help.****Canonical correlation analysis**: This method is used to learn about the relationship between the multivariate variables and do the measurements. Our experts are available round the clock to offer you the best assistance on corrleation analysis.**Analysis of covariance**: This also known as ANCOVA allows you to compare a variable that is in multiple groups with the account variability of different variables called Covariate. You can avail the help of our experienced SPSS project Help professionals to draft the assignment.**Chi-square tests**: Chi-square tests give the association between the categorical variables. If you lack the time or do not have knowledge on this topic, you can immediately seek the help of our statistics experts. Our experts use their knowledge and experience to draft an assignment that is flawless and 100% accurate.**Factor analysis**: This method aims to reduce a large number of variables into fewer factors. Factors are derived by extracting the maximum common variance from all the variables and putting them into a common score.**Logistic Regression**: It is a supervised machine learning algorithm primarily used for classification tasks. Logistic regression can be performed using SPSS to predict the categorical dependent variable using a given set of independent variables.**Cluster Analysis**: This is also known as clustering where a group of objects is put together so that the objects in the same group look more similar to each other than the objects in the other group.

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Four key programs that you find in SPSS for doing complicated data analysis include:

**Statistics Program**: The statistics program offers you the fundamental statistical functions. Few of them include bivariate statistics, cross-tabulation, and frequencies.**Modeler program**: The modeler program help researchers to come up with interactive predictive models with the help of the state of the art statistical procedures.**Text analytics to do survey programs**: The survey programs will allow the admins to reveal key insights received as responses to the survey questions answered by the consumers.**Visualization designer:**SPSS visualization designer will let the researcher make use of the data for creating various density charts and radial box plots with the help of the survey data quickly.

These are four programs used in SPSS and offer data management solutions that allow researchers to carry out case selection, create derived data and carry out file reshaping. It also provides you with the data documentation which helps the researchers to store metadata in the dictionary.

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SPSS assignments are widely given to statistics students. These assignments can be of the dissertation, research paper, or assignment type. Our in-house SPSS experts will help you carry out various data analysis tasks. The data explorer package within SPSS helps students perform various mathematical calculations. Our experts will analyze the data gathered from various sources for the project, and apply the most relevant technique to generate findings/insights. Our experts are adept with all the statistical techniques to offer the best SPSS assignment help. We have extended the **instant SPSS assignment help** to students across the USA, UK, Australia, and many more

SPSS homework is inclusive of homework and other coursework questions that are asked by the professor. Our tutors have extensive knowledge of using the SPSS tool. Students will get to learn the benefits of using this software in resolving various types of statistical problems with ease. Our **SPSS homework help** is a one-stop destination for all the students who are pursuing statistics in getting help in solving quizzes, test papers, and practicals.

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The parametric tests are the ones that are merely based on assumptions. There are different variables extracted from the collected population data. It is assumed that the populated data is dispensed. The parameter in terms of statistics would be referred to as a population. If it is not in terms of statistics it is referred to as a sample. Various types of parametric tests that are performed in SPSS include -** Student’s T-tests** and **ANOVA tests**.

The parametric test shows the normal distribution of the population. The homogeneity of variance will ensure that various groups will have the same variance.

The opposite to of a parametric test is a non-parametric test which will not have any assumptions related to the population parameters. Various types of non-parametric tests that are carried out in SPSS include - **chi-square**, **Fisher’s exact test,** and the **Mann-Whitney test**. Every parametric test that you carry out will have a non-parametric parameter. For instance, the parametric data from two different groups can be run independent sample t-tests to do the comparison of their means. In case you have non-parametric data, you can run the Mann-Whitney test.

Analysis of Variance in SPSS will help you to examine the differences that you observe in the mean values of variables that are dependent on that of independent variables after taking the uncontrolled independent variables into consideration. ANOVA in SPSS will be used to test the means of multiple samples or populations. It is essential for ANOVA to have a dependent variable with a metric. **ANOVA in SPSS** will have one or multiple variables that are independent. The independent variables that are categorized are known as factors. A specific combo of factor levels is known as a treatment. The researcher who would like to do the examination of heavy, light, medium, and non-users of cereals can be differentiated from the total cereal. The difference is easier to examine using the ANOVA test in SPSS. Learn all such ANOVA concepts by seeking **SPSS homework help** from us.

SPSS modeler is also used for** data mining** and can be used as text analytics software. It is developed using predictive models to carry out analytical tasks. The visually rich interface will let you take advantage of the statistics along with data mining algorithms without having any programming knowledge. SPSS will make use of a strategic approach to establish relationships between large datasets.

SPSS forecasting is the most critical part of the time series module. It has a lot of observations that are gathered with the measurement of a single variable over a period. It uses the model that helps you to predict future events based on the events that happened in the past.

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SPSS is a powerful statistical software that is used for editing as well as analyzing different data sets. The data will be gathered from various sources such as customer databases, Google Analytics, research, or from the log files of different websites. The best thing about SPSS is that it has the capability to open the file in different formats and these are structured in a spreadsheet, relational database, STATA, SAS, and plain text files.

**SPSS data view**- When you open the data in SPSS, it will appear like a spreadsheet. The sheet will be opened in the data view which will display the data values clearly. The explanation of the variables with data values can be found in the other sheet.**SPSS variable view**- The SPSS file has another sheet with the name variable view. The metadata related to the data will be shown. Metadata will have variables along with the data values. This is known as a codebook, but in the SPSS, the terminology is known as a dictionary.**Data analysis**- SPSS can segregate the data and showcase the details in an organized manner on the Data Editor window. If the data has variables that have the income of respondents, Descriptive statistics can be used to get the average income. When you click on Descriptive statistics and select Descriptive, a dialog box is displayed from where you can select one or multiple variables that you want to inspect.**SPSS output window**- When you click on Ok, the output viewer window is displayed in SPSS. There is a table displayed with all the variables neatly. The output viewer window will have a unique layout. When you create an output in a different format in SPSS, the data won’t change. SPSS makes use of two different windows for getting the research and data outcome based on the data that you have given.**SPSS Reporting**- It shows the report with charts and tables. You can copy and paste them into the other programs. The tables will get copied in the rich text format.**SPSS syntax editor window**- The table is created by selecting the descriptive statistics from the SPSS menu. You can also run this through the syntax editor window by running the SPSS code.

The key features of SPSS are that you can open data files in different formats, and edit data by computing sums and meaning rows or columns. It allows you to create tables and charts. You can run inferential statistics for doing regression, factor, and ANOVA analysis.

IBM SPSS Statistics | Chi-squared test |

Factor analysis test | Spearman`s rank correlation test |

Time series analysis test | Students` t-test |

Multiple Linear Regression analysis | Mann-Whitney u test |

Analysis of variance (ANOVA) | Principal Component Analysis |

Logistics Regression | Design of Experiments |

Statistical Inference | Applied Econometrics |

Biostatistics | Statistical Process Control |

Friedman Test | Nonparametric Models |

Panel Data Analysis | Discriminant Function Analysis |

Canonical Correlation Analysis | SPSS Chart Builder |

Kruskal-Wallis Test | Multivariate Analysis of Variance (MANOVA) |

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