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:
- Quantitative data is expressed in numbers and graphs and is analyzed through statistical methods.
- Qualitative data is expressed in words and analyzed through interpretations and categorizations.
Step 2: Choose your data collection method
Based on the data you want to collect, decide which method is best suited for your research.
- Experimental research is primarily a quantitative method.
- Interviews, focus groups, and ethnographies are qualitative methods.
- Surveys, observations, archival research and secondary data collection can be quantitative or qualitative methods.
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)
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.
What Is Kurtosis? | Definition, Examples & Formula (scribbr.com)
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