Quantitative data is … There are two types of numerical data, namely; discrete data-which represent countable items and continuous data-which represent data measurement. Categorical data is divided into two types, namely; nominal and ordinal data while numerical … These data have meaning as a measurement, such as a person’s height, weight, IQ, or blood pressure; or they’re a count, such as the number of stock shares a person owns, how many teeth a dog has, or how many pages you can read of your favorite book before you fall asleep. Time is an example of continuous data. Qualitative data spans a range of material from the descriptions of social life provided by participant observation and unstructured interviews to information from written sources. The employers need to ensure that you are able to draw reasonable and logical results out of the provided data … Data can be analysed statistically; Represented in graphical formats; Comparable; Generalisations can be made; Objective and more likely to be scientific and reliable; Easier to replicate; Disadvantages. Naive Bayes assumes that all predictors (or features) are independent, rarely happening in real life. It is ideal for understanding the relationship between a dependent and an independent variable. During the product development stage, product researchers use TURF analysis to investigate whether a new product or service will be well-received in the target market or not. Fact Check: Is the COVID-19 Vaccine Safe? This might provide some limitations in the results of the study. Ratio data is a continuous data type similar to interval data, but has a zero point. Knowing the Census of a country assists the Government in making proper economic decisions. Every numerical method has its inherent constraints based on the specific mathematical approach to finding the solution. Preset answers that do not reflect how people feel about a subject. Whether finite or infinite, discrete data take on counting numbers like 1 to 10 or 1 to infinity, with these group of numbers being countably finite and countably infinite respectively. Drawbacks include relatively rigid methods and lack of behavioral analysis on subjects. Naive Bayes is better suited for categorical input variables than numerical variables. They can be used only with numerical data. Numerical data analysis can be interpreted using two main statistical methods of analysis, namely; descriptive statistics and inferential statistics. We consider two main samples of normal distribution and carry out different tests on them. Advantage– masks data. When applying for admission in a school, for instance, your O level results may add up to your score. Disadvantages of Quantitative Research. In most cases, body temperature is measured in Celsius, therefore passing as interval data. The advantages and disadvantages of qualitative research are quite unique. To determine whether or not these trends exist at the group level, researchers must use a large sample size to compare results to other groups in the population. Whether finite or infinite, discrete data take on counting numbers like 1 to 10 or 1 to infinity, with these group of numbers being countably finite and countably infinite respectively. It involves the collection of data which is then subjected to statistical treatment to support or refute a hypothesis. Data Science Stack Exchange is a question and answer site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field. Advantages We can easily compare two or three sets of data. With limited delays in resource attainment, correlations are found, which ultimately clues to a convenient deduction. 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