No/FALSE
There are many things that the Bureau of Labor Statistics do. Examples of things that he Bureau of Labor Statistics do include collecting, analyzing, and processing economic information.
Education is an extremely broad concept. It could include everything from all the study needed to earn a PhD, being street-smart in cities like New York or London, or life skills credit being applied to an academic degree program. What matters is your operational definition of education, what the questions are that you are asking, and what kinds of answers you want your study to provide.If you are interested in most academic uses of the word education, then in all likelihood you will be looking more at quantitative data. But then again, if you are focusing on subjective opinions of education, there could be a qualitative piece.
In social sciences the methods available for collecting data can be classified into two categories: qualitative and quantitative. - Qualitative research - generally used for exploratory purposes - examples include focus groups, in-depth interviews, and projective techniques - Quantitative research - generally used to draw conclusions - examples include surveys and questionnaires You can also use experiments and observation but the real answer is. 1. Use surveys, observation, and focus groups
No. Descriptive statistics are those that characterise samples without attempting to draw conclusions. The purpose of them is to help investigators to form an understanding of what the data might be capable of telling them. Descriptive statistics include graphs as well as measures of location, scale, correlation, and so on. Parametric statistics are those that are based on probabilistic models (ie, mathematical models involving probability) that involve parameters. For instance, an investigator might assume that her results have come from a population that is normally distributed with a certain mean and standard deviation; this would be a parametric model. She could estimate this pair of parameters, the mean and standard deviation, using parametric statistics, or test hypotheses about them, again using parametric statistics. In either case the parametric statistics she uses would be based on the parametric mathematical model she has chosen for her data.
No/FALSE
false
qualative skills include analytical tools such as statistics, forecasting, risk management, and LEAN Six Sigma
Information on Health Management Services can be found on a variety of locations online. These websites include the Bureau of Labor Statistics and Management Sciences for Health.
Qualitative and Quantitative
Quantitative observations (as opposed to qualitative observations, which do not include numbers)
There are several different types of data. Some include qualitative and quantitative. Qualitative is data that is not numeric and quantitative data is numerical.
Qualitative and Quantitative
Qualitative and Quantitative
Quantitative data is measurable and numerical in nature. In contrast, qualitative data is any data that is not numerical and cannot be measured, only observed. Examples of quantitative data include age, height, year, and population. Examples of qualitative data include color, gender, country, and city.
Qualitative data include descriptive information that cannot be easily quantified. Examples include observations, interviews, open-ended survey responses, and focus group discussions. Qualitative data provide insights into attitudes, beliefs, motivations, and behaviors.
Observations that do not include measurements are qualitative in nature, such as color, texture, smell, taste, or behavior. These observations rely on the senses and can be subjective in nature. They provide descriptive information about the characteristics of an object or phenomenon.