Some of these Data Analysis Tools include:
Cost-Benefit Analysis
A cost-benefit analysis is a simple economic structure that compares the financial benefit of a decision with the cost it will take to implement that decision.
Control Chart
Control Charts determine how close a process is to being stable and predicts the degree of statistical control under different variables.
CTQ Trees
CTQ stands for "critical to quality." In a CTQ tree, the requirements of customers are generalized so that producing items for several customers with similar requirements is easier and more manageable.
'5 Whys'
The '5 Whys' is a technique that has been developed to isolate and eliminate the underlying cause of a defect or other manufacturing issue. Quite simply, the question, "Why?" is asked five times about the problem, with each successive "Why?" addressing the response to the previous "Why?" As an example, the 5 Whys could be applied to a malfunctioning vacuum cleaner:
The problem: A vacuum cleaner is not functioning properly.
Why? The intake valve is clogged.
Why? Dust and debris is collecting around the valve.
Why? Debris isn't settling to the bottom of the vacuum bag.
Why? The vacuum bag is full.
Why? The house has been vacuumed several times without changing the bag.
The solution: The vacuum bag must be changed.
By asking the question "Why?" five times, the root cause of the problem has been identified, and a practical solution has been suggested.
Which is an example of a study that is based on a secondary analysis? A. Collecting data by surveying people B. Collecting data by interviewing people C. Analyzing data collected by others D. Analyzing data collected over a period of a year Apex-Teddi
Analyzing data collected by others..:)
Which is an example of a study that is based on a secondary analysis? A. Collecting data by surveying people B. Collecting data by interviewing people C. Analyzing data collected by others D. Analyzing data collected over a period of a year Apex-Teddi
tools for collecting scientific data....one tool for recording,collecting, and analyzing data is a microscope :)))
Data flexibility is a quality characteristic.
Quantitative data deals with numbers. It is data that can be measured. An example of this is: 51% of the world's population is female.
The process of manipulating, analyzing, and interpreting data could be considered statistics. This could also be considered to be data analysis.
It depends on the type of data you are analyzing. For research, common methods for analyzing data are t-tests, ANOVA, MANOVA, and chi-square.
The reason for organizing, analyzing and classifying data is find out the data relates. The relationship between the elements of a data will form the basis of the information.
After analyzing data from their experiments, scientists will draw conclusions. They will consider whether their hypothesis was correct and what the observable trends were in the data.
visualize the data
shiting it