Quantitative techniques allow for data-driven decision-making, providing objective and measurable results. They can help identify trends, patterns, and relationships in data that may not be obvious through qualitative analysis alone. Additionally, quantitative techniques can be used to make predictions and forecasts based on statistical models.
Movie ratings can be considered as ordinal data, as they are often ranked or categorized based on a predefined scale (such as stars or numerical values).
Surveys can gather both qualitative and quantitative data, depending on the type of questions asked. Quantitative data is more common in surveys and typically measures things like demographics, preferences, satisfaction levels, and opinions. Qualitative data may also be collected through open-ended questions to capture more detailed or subjective responses.
Experimental research methods are most likely to produce quantitative data that can identify cause and effect relationships in sociology. This involves manipulating variables and observing the effects on outcomes.
Research can be divided into two main categories: qualitative research, which focuses on understanding the "why" and "how" behind phenomena through qualitative data analysis; and quantitative research, which focuses on collecting and analyzing numerical data to answer research questions through statistical methods.
This statement is absolutely False due to the fact that quantitative level consist mainly in numeric situations.
Neither, age is at a ratio level of measurement.
It is ordinal.
Ordinal statistics or data is classified as ordinal if the values can be rated on a scale or put i order. Ordinal data can be counted but never measured.
No, but the answers provide ordinal data.
Gender is nominal. Nominal is categorical only; no ordering scheme. Ordinal level of measurement places some order on the data, but the differences between the data can't be determined or are meaningless.
don't you mean quantitative data and qualitative data?
It can be computer for ordinal level data or higher. It is NOT effected by extremely large or small numbers
This kind of data is qualitative, meaning it is an observation of a particular facet of the observed thing. Quantitative date is numerically-based.
This kind of data is qualitative, meaning it is an observation of a particular facet of the observed thing. Quantitative date is numerically-based.
The median is used when reporting ordinal data.
quantitative data is the characteristics obtained from an experiment usually the best way to collect quantitative data is to observe your subject.