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Data science class 014 -Statistics

 

Data collection is a systematic process of gathering observations or measurements. Whether you are performing research for business, governmental or academic purposes, data collection allows you to gain first-hand knowledge and original insights into your research problem


Next, formulate one or more research questions that precisely define what you want to find out. Depending on your research questions, you might need to collect quantitative or qualitative data:


Step 2: Choose your data collection method

Based on the data you want to collect, decide which method is best suited for your research.

Carefully consider what method you will use to gather data that helps you directly answer your research questions.

Step 3: Plan your data collection procedures

When you know which method(s) you are using, you need to plan exactly how you will implement them. What procedures will you follow to make accurate observations or measurements of the variables you are interested in?


One-way ANOVA | When and How to Use It (With Examples)

Published on March 6, 2020 by Rebecca Bevans. Revised on May 10, 2024.

ANOVA, which stands for Analysis of Variance, is a statistical test used to analyze the difference between the means of more than two groups.

A one-way ANOVA uses one independent variable, while a two-way ANOVA uses two independent variables.

One-way ANOVA example
As a crop researcher, you want to test the effect of three different fertilizer mixtures on crop yield. You can use a one-way ANOVA to find out if there is a difference in crop yields between the three groups.

What Is Kurtosis? | Definition, Examples & Formula (scribbr.com)

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