## Applied Statistics Assignment Help | Applied Statistics Homework Help

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## What Is Applied Statistics?

Advanced or applied statistics is a study that is conducted to collect, organizes, analyze, interpret and present the data using the tools and software. This also includes planning of the data that is collected from surveys and experiment. This comprises of various topics such as Decision tree, biostatistics, statistical computing, etc. The application of statistics is used in a wide range of areas including social sciences, mathematics, business, pure science, etc. The main job of the person studying applied statistics is to produce and present the statistics.

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Applied statistics would deal with theorems and concepts related to the business along with research and development of statistics. Statistics is used to categorize the data sets. There are various methods that are used to solve the mathematical problems, including mean, median and mode methods.

Statistics is classified into two types. There include theoretical statistics and the other is applied statistics. Theoretical statistics, is also called as mathematical statistics that involves statistical theorems, development of key formulas, rules and laws that are used to solve the problems in the real-time. Applied statistics would deal with the application of theorems and concepts that are developed in the theoretical statistics, especially in research, development, business, government, marketing and clinical trials. As per the theory, applied statistics is divided into two categories. There include:

**Descriptive statistics:** The datasets that are available in the original form are very huge and are challenging to use direct to jump into the conclusion or make any informed decisions. To draw conclusion from huge chucks of information, you need to calculate descriptive statistics to explain the key traits of the data. The **descriptive statistics** would have summary tables, charts, graphs and this summary table would comprise of numerical measures like mean, median, mode, standard deviation, etc. The graphs or charts would comprise of pie chart, bar chart, histogram, line plot, scatter plot, etc.

**Inferential statistics:** If there are a series of measurements that are given in the dataset of the population, then you can easily draw the conclusion about the dataset depending on the descriptive statistics. It is very expensive and time consuming to examine the entire population at a time. For this reason, the population is divided into small parts that would answer all the queries about the whole population. The key branch of statistics that allows you to draw the conclusion about the population based on the sample data is known as inferential statistics. The main aim of inferential statistics is to inference about the population traits by analyzing the sample data collected from the population.

## Popular Topics In Applied Statistics Coursework

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## Applied Statistics Assignment Help

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Statistics using SPSS, SAS, STATA, R | Statistics using SPSS, SAS, STATA, R |

Comparing group means using the independent samples t test | One-way between-subjects analysis of variance |

Bivariate Pearson correlation | Multiple regression |

Factorial analysis of variance | Analysis of covariance |

Discriminant analysis | Multivariate analysis of variance |

Principal components and factor analysis | Reliability, validity, and multiple-item scales |

Analysis of repeated measures | Binary logistic regression |

Biostatistics | Chebychev’s inequality |

Decision tree | Statistical computing |

Statistical computing | Categorical analysis |

Statistical methods in genetics, public health, biomedical research, etc | Reliability engineering |

Chemometrics | Bayesian statistics |

Grid-based estimators | Robotics |

Approximation theory | Fiducial inference |

Generalized additive models | Kernel density estimation |

Martingale difference | Lyapunov |