What is Quantitative What is Quantitative Information

Decisions are controlledPhysical quantitiesIt is called a control quantity or a given amount.

For example, in a system where the research controller consists of an amplifier, etc., the control object is a motor, and the given amount of up is passed through a given potentiometer.

Adjust and control the temperature of the furnace.

If it is a general fixed-frequency air conditioner.

The controller is a device that judges the difference between the room temperature and the set temperature inside the air conditioner and gives corresponding instructions (turning on and off the compressor), and the controlled object is the air conditioner compressor.

The indoor temperature is measured, and the indoor temperature is also measured.

Quantitative variables

That is, what is commonly known as continuous quantity, such as length, weight, yield, population, velocity, and temperature, etc., which are quantities obtained by measurement or counting and statistics, and these variables have numerical characteristics and are called quantitative variables.

Qualitative variables

These quantities are not really quantitative changes, but only qualitative differences. These quantities can also be divided into two kinds, one is an ordinal variable, which has no quantitative relationship, only an order relationship, such as a certain product is divided into first-class, second-class, third-class, etc.

Quantitative variables are commonly referred to as continuous quantities, such as length, weight, yield, population, velocity, and temperature, etc., which are quantities obtained by measurement or counting and statistics, and these variables have numerical characteristics and are called quantitative variables.

Qualitative Variables These quantities are not really quantitative variations, but only qualitative differences. These quantities can also be divided into two kinds, one is an ordered variable, which has no quantitative relationship, only an order relationship, such as a certain product is divided into first-class, second-class, third-class, etc., and the quality of ore is divided into poor ore and rich ore; The other is a nominal variable, which has neither hierarchical nor quantitative relations, such as weather (cloudy, sunny), gender (male, female), occupation (workers, farmers, teachers, cadres) and product models.

That's what you've already been told.

1. Quantitative attributes refer to properties that exist in quantitative form and can therefore be measured. The result of the measurement is expressed as the product of a specific quantity (called a unit) and a number. Taking physical quantities as an example, distance, mass, time, etc., are all quantitative properties.

Many of the attributes examined in the social sciences, such as abilities and personality traits, are also studied as quantitative attributes.

2. Qualitative refers to the essence of things through non-quantitative means. The conceptual counterpart is quantitative, and qualitative means can include observation, experiment, and analysis, etc., to examine whether the subject of study has this or that higher attribute or characteristic and whether there is a relationship between them.

Quantitative analysis. The analytical method that needs to determine the relative content of each component in the substance (Sweet potato compound) is quantitative analysis.

Generally, it is necessary to conduct qualitative analysis first, determine the composition of the substance, and then select the appropriate analysis method for quantitative analysis, because there are different effective analysis methods for different component elements or ions, and whether the sample contains interfering ions or elements is also a factor to consider when choosing an analytical method. Since quantitative analysis can determine the content of components, it has great practical application significance.

The main task of qualitative analysis is to determine the composition of substances (compounds), and only after determining the composition of the substance, can the appropriate good analysis method be selected for quantitative analysis, if only to detect the presence of a certain ion or element, for separate analysis; If it is necessary to go through a series of reactions to remove other interfering ions or elements, or if it is necessary to know what other ions or elements are present, it is a systematic analysis.

Qualitative analysis includes chromatography. According to the type of substance, qualitative analysis is divided into qualitative inorganic analysis and qualitative organic analysis.

1. What is quantitative analysis?

Quantitation is a chemical analysis that is used to determine the amount of each component in a sample.

Quantitative analysis refers to determining the amount or relative amount of each ingredient. In pure matter, the whole mass is made up of a single component. In a sample consisting of two or more substances, quantitative analysis will determine the mass or relative mass of each component in the sample.

It is not necessary to quantify the presence of oranges for all components in a sample, and in most cases, analysis of one or more components of interest is sufficient. For example, in antacid tablets, the key ingredients that need to be quantified are the active drug, while the filler and binder.

Colorants and flavorings, etc., are rarely quantitatively studied.

Quantification is more than just measuring the amount of a component in a sample. The sample must first be pre-treated, usually dissolved in solution. For complex substances, it is often necessary to perform a preliminary separation of the components required for the required quantification to prevent interference from other substances.

2. What are the quantitative analysis methods?

Methods of quantitative analysis can be broadly divided into classical methods and instrumental dialectical methods.

1.Classical approach.

Since the 19th century, modern chemistry has used the classical method of measuring the amount of chemical and unknown substances directly using balances and calibrated glass containers.

Classical gravimetric analysis, which uses appropriate chemical reagents to combine with analytes in a sample solution to form a precipitate, which is then filtered, washed, dried, and weighed. Based on the weight of the precipitate and sample, as well as the known chemical composition of the precipitate, the percentage of analyte in the sample is calculated. Another classic method of titration involves placing a chemical solution of known concentration, the titration solution, in a burette.

Medium (a burette is a long, calibrated tube with a valve at one end). An indicator solution, i.e., a colored dye, is added to the unknown sample.

So that the color change occurs when the appropriate amount of titration solution is added to bind to the unknown. The titration solution is then slowly added to the sample solution mixed with the indicator through the valve that controls the burette until the solution appears characteristic color and the titration is stopped, and the volume of the titrant is noted. Depending on the concentration of the titration solution, the volume used, and the volume of the unknown sample in the titration flask, the amount or percentage of the analyte can be calculated.

2.Instrumental methods.

The presence of many chemicals can often be found by their reaction to some external signal, and the magnitude of this reaction is directly proportional to the amount of substance present. Since electronic devices can often generate external signals and detect chemical reactions.

This quantitative analysis.

It is known as the instrumental method. Since the instrumentation method measures the substance content indirectly, it needs to be calibrated in advance. The standard solution containing the known analyte is first quantified to calibrate the measuring instrument.

The type of instrumental method used varies with the nature and amount of the analyte. Classical methods are suitable for quantification of large amounts of analytes in a sample (1% or more), while instrumental methods are typically used for quantification of trace analytes (which may be less than 1% of the total mass of the sample). Modern instrumentation technology enables the analysis of components with or without a single amount.

It is generally conducted for the purpose of deriving statistical results on the population of a particular research subject.

Quantitative data refers to attributes that exist in quantitative form.

It can be measured. For example, taking physical quantities as an example, distance, mass, time, etc. are all quantitative data. Quantitative analysis is a method of analyzing the quantitative characteristics, quantitative relations and quantitative changes of social phenomena.

All data can be divided into two categories: quantitative data refers to data that can be recorded on a numerical scale, such as sales, salary, height, and weight.

Dimensions of quantitative data:

1. Dispersion measurement.

The dispersion measure of a dataset (also known as variability) indicates the degree to which the data is scattered or dispersed, and the variability of the data is also important. Dispersion measures include range, variance, and standard deviation.

2. Relative position measurement.

A measure of relative beat difference, which describes the relationship of a measurement to other data: upper quartile, lower quartile.

3. Symmetry and clarity measurement.

Symmetry measure is also a very important measurement dimension, in data mining, skewness is a very important indicator, if the absolute value of skewness is greater than 1 is an obvious signal, indicating that your data distribution has obvious asymmetry. Many algorithms for data analysis are based on a bell-shaped distribution similar to a normal distribution, and the data is distributed around the mean. <>

Quantitative information refers to information that represents economic activity in measured form.

All kinds of draft plans, statistical reports, original records and vouchers, and purchase orders are the raw materials of quantitative information. Collect and analyze quantitative information, the number is specific, the quantity is accurate, can better reflect the economic activities, reproduce the growth process of the enterprise, and can provide the most basic information for the business decision-making of the enterprise, to help solve the problems in management.

For example, the solution measures and consequences of any problem of the enterprise are quantitatively evaluated, the different decision-making schemes of production and operation and their differences are quantitatively evaluated, the environmental factors that affect the business decision-making of the enterprise are quantitatively analyzed, and the methods of collecting certain information are improved through the analysis of quantitative information, and the ways and models of improving the economic benefits of the enterprise can be described through the collection of quantitative information.

Quantitative economic information, for enterprises, is mainly expressed in the form of three centers: people, finance, and materials. According to its characteristics, digital data can be divided into two types: time series data and cross-sectional data.

Qualitative is the essence of things by non-quantitative means. Quantification is a property that exists in quantitative form and can therefore be measured.

Qualitative research is a method of describing and explaining human behaviors, attitudes, beliefs, opinions, and other phenomena in non-digital forms such as words, **, and sounds. Qualitative research focuses on the individual differences of the research object, emphasizing the in-depth understanding and interpretation of the research object. It provides detailed descriptions and analysis, but lacks statistical precision and reproducibility.

In contrast, quantitative research is a method of measuring, analyzing, and interpreting phenomena such as human behavior, attitudes, beliefs, opinions, etc., in a digital form and through statistical methods.

In conclusion, qualitative research and quantitative research are two different research methods, which study and explain human behaviors, attitudes, beliefs, opinions and other phenomena from the perspective of qualitative and quantitative respectively, which are two commonly used methods in research.

Characteristics of qualitative and quantitative research

Quantitative research focuses on the universality and regularity of the research object, and focuses on the measurement and comparison of the research object. It provides accurate data and objective conclusions, but often ignores individual differences. Qualitative methods can be emulated to include observation, experimentation, and analysis, etc., to examine whether the subject of study has this or that attribute or a special spike sign and whether there is a relationship between them.

Qualitative and quantitative research have their own advantages and disadvantages, and the appropriate method should be selected according to the different research objectives and problems. The two methods can also complement each other, and by mixing research methods, it is possible to obtain both the depth and breadth of qualitative research and the accuracy and reliability of quantitative research.