Research paper The format of a research paper is provided here. This blog on the research paper aims to analyze the effectiveness of various sleep protocols in helping patients improve their sleep. A clear structure is followed here, which can be beneficial to any student with problems on research...
K-Nearest Neighbors (KNN) The k-nearest neighbor algorithm is an ml learning algorithm used for both classification and regression predictive problems. This blog explains how to use the algorithm in R. Introduction The k-nearest neighbors (KNN) algorithm is a simple, easy-to-enforce supervised...
Bivariate AnalysisThis is a bivariate analysis where we perform the analysis on a real data set. All the data analysis procedures are applied in this article. In addition, we will fit a bivariate and a multiple linear regression to understand the baseline characteristics of the variables.MethodsA s...
Statistical methods Our main focus in this article is to understand the different statistical methods, such as sampling techniques, data collection, and data analysis. The explanation provided here is brief to help you understand the key concepts of the topic. Sampling A snowball samplingtechniqu...
exploratory data analysis Here is a clear demonstration with detailed explanations of exploratory data analysis and correlation. Correlation is employed to test the strength between two variables. Exploratory data analysis is simply applied to know more about the variables in the data set. Dataset...
Investment by China in African Countries Figure 1 presents the total investment by China in African countries between 2000 and 2015. The amount is the sum total of investment over the period. Our statistics homework helpers observe that the investment has fluctuated over the years, with investment...
Impact of Quantitative Easing Announcements on UK Asset Values Quantitative easing (often abbreviated as QE) is a type of monetary policy in which a bank buys long-term securities from a given open market so that it can increase the supply of money and encourage investing and lending. The central b...
Data analysis for decision makers Data analysis can be defined as the application of statistical methods and techniques to explore and describe data in order to obtain useful information. The process involves retrieving original data using special computer applications and systems. This data is th...
Using STATA for data analysis STATA is a statistical program that enables users to manage, analyze, and graphically visualize data. It is commonly used by researchers and analysts in the fields of political science, biomedicine, and economics to identify patterns and trends in data and to make info...
Using STATA for data analysis Econometrics is the application of quantitative statistical methods to test existing hypotheses or develop new theories in economics and predict future trends from past data. It uses economic theory, statistical inferences, and mathematics to quantify an economic phen...
How statistics methods are applied in biological sciences Statistical methods are an important tool in biological sciences. They help analyze biological data and provide useful insights into the various processes involved in a given set of biological experiments. Biologists use basic statistical co...
Statistical Analysis to Evaluate Education Endowment Statistical analysis is the art of gathering data and revealing patterns and trends. After researchers have collected data, they can manipulate and analyze it to find key measures of location, calculate measures of spread, test a hypothesis, and ...
Using ANOVA to Measure Stress in Humans Analysis of variance (or simply ANOVA) is a statistical method used to test whether experiment or survey results are significant, or rather, whether to accept or reject the null hypothesis. An ANOVA test can be one-way or two-way. One-way ANOVA has only on...
Application of Econometrics in the Issuance of Grants Econometrics is the application of mathematics, statistical inference, and economic theories to quantify an economic phenomenon. Econometrists use techniques such as probability, frequency distributions, statistical inference, probability distri...
Data Analysis: Issues Affecting the World Today Data analysis can be defined as the statistical process of exploring, analyzing, cleaning, and modeling data with the intent of identifying important information that can be used to support decision-making or arrive at useful conclusions. This unique ...
Using SPSS for Survey Data Analysis SPSS is a statistical program used to explore and analyze raw data to extract actionable insights from it. It provides a friendly user interface that enables businesses and researchers to understand data better and solve complex business and research problems wi...
Conceptual model and the logical model The conceptual model helps in the establishment of entities, their attributes, and their relationship. On the other hand, logical models define the structure of data elements and set relationships between them. Conceptual Model DiagramAttributeTypeNullableId_...
About Quantitative methods Quantitative methods can be described as an investigation of phenomena through the gathering of quantifiable data and performing mathematical and statistical techniques. Quantitative methods collect data using sampling methods. It focuses on the collection of data before ...
Quantitative analysis Quantitative analysis is the process of collecting measurable data and evaluating the data. The data can be market shares, revenues, and wages. It helps people understand the performance of their businesses. In the early days, people relied on experience during decision making...
Understanding logistic regression Logistic regression helps in conducting regression analysis when a dependent variable is binary. Like any other regression tool, logistic regression is also a predictive tool. It is used to describe data and explain relationships between dependent binary variables ...
How Integer Linear Programming is Applied in Machine Learning Integer linear programming is a technique applied in statistical problems in which variables are restricted to be integers. It is one of the easiest ways to perform optimization. The technique is applied in a variety of disciplines, the ...
How Various Statistical Methods are Applied in Real Life Statistical methods are simply mathematical techniques, models, and formulas used to analyze raw research data. They extract useful information from data and provide various ways to study the robustness of different research outputs. The most...
The Implementation of Applied Statistics in the Car Manufacturing Industry Applied statistics is the practice of using various statistical methods and techniques to define and solve business problems. As companies get access to big data day in day out, they are constantly looking for data analysts,...
Survival Analysis: Factors Related to Breastfeeding Survival analysis (also known as time to event analysis) is a field of statistics that studies and analyzes the expected amount of time until an event of interest occurs. In most instances, survival analysis is used to estimate the duration of ti...
Using Elementary Statistics to Predict Presidential Outcome Elementary Statistics is a discipline of mathematics concerned with the collection, organization, analysis, presentation, and interpretation of quantitative data to aid with drawing useful insights and with the making of informed decisions...
Using Business Analytics to Understand AdvertisingBusiness analytics can be defined as the process by which analysts collect data with the intent of measuring the performance of a business and providing valuable conclusions that can aid in better decision making. This is done through various statist...
Sociology: How Bullying in Schools Affects Students and Parents Bulling in schools can affect everything about a student from how they see themselves to interacting with others to being confident in their future. Those who are bullied often experience low self-esteem, depression, loneliness, shyne...
How to Assess Fairness in Football Using Probability Probability is a statistical technique used to determine the likelihood of an event to happen, usually displayed as a number between 0 and 1. If an event has a probability of 0, then it is considered unlikely to happen while that with a possibili...
Descriptive Statistics and Relationships Descriptive statistics involves organizing and summarizing data so that it can be understood easily. It provides basic information about the different variables available in a set of data and identifies potential relationships between variables. The most com...
Application of Statistics in Gauge Quantification Statistics is used in many disciplines today for effective analysis of data. Among these fields include engineering where it is used for gauge quantification. For instance, it can be used to quantify uncertainties in a gauge study. In such a study,...
Using Statistics to Optimize Cost and Labor Statistics has been used in the optimization of cost and laborfor many years. It provides methodologies and principles that help business managers to minimize variances in operations. The process usually requires automation, and thanks to the various stat...
Using Statistics to Test the Relationship between Obesity and Diabetes Obesity is one of the major causes of diabetes today. Studies show that individuals who are overweight are 85 times more likely to develop diabetes than those whose BMI is less than 22. Obese individuals have increased levels o...
Understanding the Relationship between Sales Volume, Parcel Volume, and Distribution Chain The channels of distribution contribute greatly to the volume of sales obtained on various products and services. Depending on the nature of the product or service being distributed, a company can either use ...
Performing Descriptive Statistics in SPSS Descriptive statistics is simply a set of numbers used to explore, summarize, and describe data. It is used to describe a sample, whereby researchers take a small collection of objects from the population they are studying, record data related to each objec...
Applied regression analysis and generalized linear models Applied generalized linear models (GLM), as the name hints, is the application, or rather, the use of various generalized linear modeling techniques in statistical modeling. These techniques enable researchers to analyze data without encount...
Analyzing Data for a Car Insurance Company Business data analysis is the set of activities that managers conduct to solve complex problems, achieve major goals, and make strategic decisions by gathering, analyzing, exploring, and visualizing information useful to the business needs. To perform eff...
Using Univariate/ Multivariate analysis To Study Body Strength Univariate simply means that your data has only a single variable. It is one of the simplest methods of analyzing data and its purpose is to describe, summarize, and find patterns in data. The univariate analysis differs from the multiv...
10 Points That Can Elevate Your Statistics Assignment's Grades A decent grade in your statistics assignment reflects both hard work and a thorough understanding of the concepts taught in class. It would help if you had the best grades to keep a scholarship, graduate, and land that dream career. Sta...
Top 13 errors Students make when writing their Undergraduate Assignments Instructors and professors consider many factors when awarding marks for statistics assignment solutions. Your instructor may mark or not mark errors in your solution. If the instructor is more concerned about the grammar of y...
How to Complete Your Statistics Assignments Effectively These tips help students to take their GPA to the next level by teaching them how to prepare and present excellent statistics assignments on time. Despite students' dim views of them, assignments play an extremely significant role in learning...
How to Write a Statistics Paper Statistics is a science that involves the collection, analysis, and presentation of data. Statistical analysis, therefore, is the analysis of the data samples collected and using them to represent the whole population. Statistics papers mainly have 4 basic components...
What are the components of a good statistics assignment? It is the desire of every professor or instructor to see students score top grades in their statistics assignments. However, all students can't score top grades because students have different learning abilities. However, instructors can deve...
Effective Tips for Writing A Comprehensive Report for A Data Analysis Assignment Use our tips on statistics assignment to curate the most effective report for any data analysis project. In this blog, we explain everything you need to do for an effective report. Every data project requires t...
6 Ways to Save Your Statistics Assignment from Getting Plagiarized Plagiarism is the enemy of success, and we help you evade it today. These six ideas will keep plagiarism at bay for you all the time throughout your coursework. Plagiarism is the intentional or unintentional practice of submitt...
Using R-Programming for Statistical Data Analysis Assignments Data structures form the foundation for data analysis in R with vectors being the most fundamental one, they are homogenous and one-dimensional. The c(), rep() and seq() can be used to create vectors. c() combines values of the same type...
How SPSS Can be Used to Handle Multiple Linear Regression Assignment Linear regression is a technique for evaluating the interrelation between more than one linearly related variable. During the analysis, one variable is explained by using the information of the other variable. The relationship, if...
Why has Analysis of Variance Assignments been Made Easier in SPSS? What is the Analysis of Variance? Analysis of variance (ANOVA) based on a given claim compares three or more population means. A Z- tests and T-test have been widely used to analyze a single population means. A comparison of two po...
7 Effective Strategies for Statistics Exam Preparation Statistics exams can be frustrating, especially if you are unfamiliar with the various concepts and tests of analyzing data. The subject is vast and cramming all the information taught during the semester is a daunting task for most students. T...
7 Awesome Tips for Becoming An Efficient Mathematical Statistics Problem SolverWe have the most effective tips that have helped thousands of students solve all types of mathematical statistics problems without much struggle. Put them into practice today and see the difference. Try a Different App...
How To Use Feedback To Perform Better In Statistics Assignments Giving and receiving feedback is an important task in assignments. Feedbacks help to understand where and what a person went wrong when doing an assignment. Good feedback outlines the negative and the positive information in work. Som...
11 TIPS TO CONSIDER WHEN PREPARING FOR A STATISTIC EXAM Preparation for the statistics exam is one of the essential aspects for students taking statistics either as a core course or as part of a course taken by another student. Keep in mind that adequate preparation for statistics exams plays an es...
Checklists for doing a hypothesis testing homework in R with an example Hypothesis testing is used to compare population means. Based on the number of levels involved, a researcher can use independent sample t-test, chi square test, and one way ANOVA. R programming is used for all the hypothesis te...