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What is the difference between a histogram and a pareto chart?
Both graphs are used to summarize data. Pareto chart is used to establish differences between different groups of data and will assign relative importance to the different groups of data. Histogram is a data distribution graph that will determine if the particular set of data is symmetric or not.
What accounts for the observed differences between samples?
The observed differences between samples can be attributed to various factors, including variations in environmental conditions, inherent genetic diversity, and differences in sample handling or processing techniques. Additionally, measurement errors or biases in data collection can also contribute to discrepancies. Understanding these factors is crucial for interpreting results accurately and drawing valid conclusions from the data.
Explain the differences between a sample and a population?
A sample consists of a small portion of data when a population is taken from a large amount.
This is the feature of a population or sample which is being studdiedsurveyedfor measured resulting in data to be analyzed?
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What is the more common name for attribute?
In a database management system (DBMS), an attribute may describe a component of the database, such as a table or a field, or may be used itself as another term for a field. Commonly we can say that an attribute is a "propety" of a database field or its a characteristic or facet of the data field..
Differences between metadata and attribute data?
Metadata is the data that describes information: language, who it is for, the source etc. Attribute data is composed of the attribute name and attribute value for example: "Color=red" where color is the attribute name and red is the attribute value.
What is the difference between attribute and domain?
An attribute is a characteristic or property of an entity in a database, representing a specific piece of data, such as a person's name or age. A domain, on the other hand, defines the set of permissible values that an attribute can take, essentially establishing the constraints on the data type and range. For example, an attribute might be "age," while its domain could specify that valid values are integers between 0 and 120. Thus, attributes describe the data, while domains constrain the data.
What is non transitive dependency?
Non-transitive dependency occurs in a database when a relationship between three or more attributes does not imply a direct relationship between all of them. Specifically, if attribute A is dependent on attribute B, and attribute B is dependent on attribute C, it does not necessarily mean that attribute A is dependent on attribute C. This type of dependency can complicate database normalization and design, as it can lead to redundancy and anomalies in data management. Understanding non-transitive dependencies is crucial for ensuring data integrity in relational databases.
Differences between parasternal and co operative?
difference in differences uses panel data to measure the differences
What is the different between spatial ans attribute data?
Spatial data refers to information that is related to the physical location and shape of geographic features on the Earth's surface, such as coordinates and boundaries. Attribute data, on the other hand, describes the characteristics or properties of these geographic features, such as population, land use, or temperature. The combination of spatial and attribute data allows for the comprehensive analysis and visualization of geographic information.
What is the difference between attribute and spatial data?
Spatial data shows specific location of geographic phenomena in terms of coordinate whilst attribute data is non-spatial in that it does use coordinates but show what is on a point, line and polygon.
What is attribute data?
Attribute data can be defined differently depending on the aspect applied,in GIS(geographical information System) attribute data defined as those data that can be stored in tabular form(table).
What is the difference between attribute and variable?
An attribute describes something. A variable is something that can take on many values. An example in statistics for an attribute could be for a set of data the diameter. The attribute of the data could be the mean is 5 and standard deviation is 1/2. This describes the data. An example of a variable in statistics for the same set of data above is the diameter reading itself. The diameter will vary and is measured for each member of the population or sample, and may be 4.9, 5.1, 4.95, 5.05, etc. The value can vary on each part.
Difference between organizational culture and climate?
difference in differences uses panel data to measure the differences
Is cycle time an example of attribute data?
No, cycle time is not an example of attribute data; it is classified as variable data. Attribute data refers to categorical data that can be counted and classified, such as pass/fail or yes/no outcomes. In contrast, cycle time measures the duration of a process, which is a continuous variable that can take on a range of numeric values.
What are the differences between the highest and lowest numbers in a data set?
Range
What is the significance of the prime attribute in database design and how does it impact the overall structure and functionality of a database system?
The prime attribute in database design is a key attribute that uniquely identifies each record in a table. It is crucial for maintaining data integrity and ensuring efficient data retrieval and manipulation. The prime attribute serves as the primary key in a database table, allowing for the establishment of relationships between different tables and enabling the implementation of data constraints and indexing for faster query processing. Overall, the prime attribute plays a vital role in shaping the structure and functionality of a database system by facilitating data organization, retrieval, and maintenance.
