Summarizing Quantitative Data Assessment Test II

Explanation
Quantitative data refers to information that can be measured and expressed with numbers. This type of data involves numerical values and can be analyzed using mathematical and statistical methods. It provides objective and measurable insights into various phenomena or variables. In contrast, qualitative data involves non-numerical information such as descriptions, observations, or opinions. Therefore, the correct answer is quantitative data.

Explanation
Quantitative data are measures that can be expressed numerically. They represent quantities or amounts and can be measured on a continuous or discrete scale. Examples of quantitative data include height, weight, temperature, and income. In contrast, qualitative data are non-numerical and represent qualities or characteristics. They are typically descriptive and can be categorized into different groups or categories. Therefore, the correct answer is quantitative because it refers to data that can be represented by numbers or symbols.

Explanation
Discrete data refers to a type of data that can only take on specific values or whole numbers, and cannot be made more precise. It is distinct and separate, with no intermediate values between the data points. In contrast, continuous data can take on any value within a range. Therefore, the correct answer is "Discrete data."

Explanation
Continuous data is a type of quantitative data that can take any value within a certain range. It is measured on a continuous scale and can include decimals or fractions. Examples of continuous data include height, weight, temperature, and time. This type of data is different from discrete data, which can only take on specific values.

Explanation
Quantitative data refers to numerical information that can be measured or counted. In this case, "Height" is the only option that can be quantified using numbers. Light, Type, and Color are not quantitative data as they cannot be measured or expressed in numerical terms.

Explanation
Observation is a method for collecting qualitative data because it involves the systematic and careful examination of people, objects, or events to gather information. Through observation, researchers can directly witness and document behaviors, interactions, and other qualitative aspects of a phenomenon. This method allows for the collection of rich and detailed data that can provide insights into the context, nuances, and complexities of a research topic. Writing, picture, and drawing can also be used to collect qualitative data, but they are not listed as options in this question.

Explanation
Qualitative data is a type of data that describes characteristics, qualities, or attributes. It does not involve numerical measurements or quantities. Therefore, the correct answer is "Describes" because qualitative data is used to provide a detailed description or narrative of the subject being studied.

Explanation
Quantitative research refers to the systematic empirical investigation of observable phenomena using statistical or mathematical techniques. This type of research involves collecting and analyzing numerical data to uncover patterns, relationships, and trends. It focuses on objective measurements and quantifiable data, allowing researchers to draw statistical inferences and make generalizations about a population. Unlike qualitative research, which emphasizes subjective interpretations and in-depth understanding, quantitative research aims to provide numerical evidence and statistical analysis to support or refute hypotheses. Final research is not a recognized term in the context of research methods.

Explanation
Nominal is a type of data that represents categories or names. It is used to classify data into distinct groups without any particular order or ranking. Nominal data is qualitative in nature and cannot be measured or ordered numerically. In this context, "Nominal" is the correct answer as it is the only option that represents a type of data.