The plotting of data on a graph is used to observe, and subsequently describe, visible patterns that exist within the data.
the purpose of a data chart is to write your data down by using your chart
how is data collected and used for the purpose of national statistics
data that can read barcodes
Outliers
The purpose of normalizing data in DBMS is to reduce the data redundancy and increase the consistency of data. a) Partial dependency: non-prime attribute ( field) depends on other non-prime attributes b) Functional dependency c) Transitive dependency
Univariate data involves a single variable and the major purpose is to describe.
The plotting of data on a graph is used to observe, and subsequently describe, visible patterns that exist within the data.
Normalizing nutritional status starts with a nutritional assessment.
You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.
what is used to describe data and what is used to display data in compuier
the purpose of a data chart is to write your data down by using your chart
Data definition is the term used to describe expected data value.
xml uses tags to describe data, any computer can then read the data using the tags.
Describe the basic data types in C Describe the basic data types in C
Normalizing data If by "normalizing data" is meant the process by which data is transformed so that it more closely approximates a normal distribution, one method is to take the logarithm of the individual data points to the base 10. If by "normalizing data" is meant the process by which data is transformed so that it can be compared with other data from a different scale (standardization), one method is to convert the individual data points to Z scores. Z scores have a mean of zero. The individual data points are converted to numbers that are multiples or fractions of one standard deviation (SD). A datum that is equal to the mean gets a Z score of zero. A datum that is 1.5 SD above the mean gets a Z score of +1.5. A datum that is half a SD below the mean gets a Z sore of -0.5. Data Z score 60 -1.39 65 -1.04 70 -0.69 80 0.00 90 0.69 95 1.04 100 1.39 Mean: 80.0 SD: 14.4 The lefthand column is the raw data. The mean is 80, and the SD is 14.4. The Z scores -- the standardized data -- based on that mean and SD are in the righthand column. {| |}
What two terms describe the "data requester" and "data provider" in a LAN? A data requester is a client and the data provider is a server.