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What are are measures of variability or dispersion within a set of data?
Wiki User
∙ 11y ago
Some measures:
Range,
Interquartile range,
Interpercentile ranges,
Mean absolute deviation,
Variance,
Standard deviation.
Some measures:
Range,
Interquartile range,
Interpercentile ranges,
Mean absolute deviation,
Variance,
Standard deviation.
Some measures:
Range,
Interquartile range,
Interpercentile ranges,
Mean absolute deviation,
Variance,
Standard deviation.
Some measures:
Range,
Interquartile range,
Interpercentile ranges,
Mean absolute deviation,
Variance,
Standard deviation.
Wiki User
∙ 11y ago
Wiki User
∙ 11y agoSome measures:
Range,
Interquartile range,
Interpercentile ranges,
Mean absolute deviation,
Variance,
Standard deviation.
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What is the sources of variability in a stats graphs?
the whole question is that The data is not perfectly linear. Identify at least 2 sources of variability in this data AND explain the effect of each? Sources of variability = outlier???? so do I just need to indicate where the outliers are???
The hypotenuse of isosceles right triangle measures 15 feet. what is the area?
I believe you need 2 pieces of data (either an angle or another length) before you can calculate anything about the triangle. Anyone else can correct me if I'm wrong.
What statement about the data is true 724 727 996 712 725 704 730 710 Both the median and mode are appropriate measures of center. The median is the only appropriate measure of center. The mean media?
There is no mode so it is not a measure of anything! Te data set contains an outlier: 996 and so the median is a better measure of the centre than the mean.
What is the difference between data manipulation language and data definition language?
DDL or Data Definition Language is used to define the database and other related functions like creating tables, views, indexes etc. Some commands in DDL are:CREATE TABLEALTER TABLECREATE VIEWDROP TABLEetc.DML or Data Manipulation Language is used to modify the contents of the data in a database. Ex:SELECTINSERTUPDATEDELETEORDER BYGROUP BYetc.DDLData Definition Language (DDL) statements are used to define the database structure or schema. Some examples:CREATE - to create objects in the databaseALTER - alters the structure of the databaseDROP - delete objects from the databaseTRUNCATE - remove all records from a table, including all spaces allocated for the records are removedCOMMENT - add comments to the data dictionaryRENAME - rename an objectDMLData Manipulation Language (DML) statements are used for managing data within schema objects. Some examples:SELECT - retrieve data from the a databaseINSERT - insert data into a tableUPDATE - updates existing data within a tableDELETE - deletes all records from a table, the space for the records remainMERGE - UPSERT operation (insert or update)CALL - call a PL/SQL or Java subprogramEXPLAIN PLAN - explain access path to dataLOCK TABLE - control concurrency
What is median in the set of data?
The median in a set of data, would be the middle item of the data string... such as: 1,2,3,4,5,6,7 the Median of this set of data would be: 4
Why are the measures of dispersion necessary to describe a set of data?
Sets of data have many characteristics. The central location (mean, median) is one measure. But you can have different data sets with the same mean. So a measure of dispersion is used to determine whether there is a little or a lot of variability within the set. Sometimes it is necessary to look at higher order measures like the skewness, kurtosis.
What is the pattern of a variability within a data set called?
The range, inter-quartile range (IQR), mean absolute deviation [from the mean], variance and standard deviation are some of the many measures of variability.
What is despersion?
Dispersion is an abstract quality of a sample of data. Dispersion is how far apart or scattered the data values appear to be. Common measures of dispersion are the data range and standard deviation.
What important feature of the data set is not revealed through the different measures of centre?
The dispersion of the data.
Which measures of central tendency become larger as the data is more dispersed?
None. Measures of central tendency are not significantly affected by the spread or dispersion of data.
Why measures of dispersion are important along with measures of central tendency to understand the nature of the data?
Central tendency will only give you information on the location of the data. You also need dispersion to define the spread of the data. In addition, shape should also be part of the defining criteria of data. So, you need: location, spread & shape as best measures to define data.
What two data characteristics are usually measured using numerical descriptive measures?
Variability and Central Tendency (Stats Student)
What is relative measure?
These measures are calculated for the comparison of dispersion in two or more than two sets of observations. These measures are free of the units in which the original data is measured. If the original data is in dollar or kilometers, we do not use these units with relative measure of dispersion. These measures are a sort of ratio and are called coefficients. Each absolute measure of dispersion can be converted into its relative measure. Thus the relative measures of dispersion are:Coefficient of Range or Coefficient of Dispersion.Coefficient of Quartile Deviation or Quartile Coefficient of Dispersion.Coefficient of Mean Deviation or Mean Deviation of Dispersion.Coefficient of Standard Deviation or Standard Coefficient of Dispersion.Coefficient of Variation (a special case of Standard Coefficient of Dispersion)
Define mean absolute deviation?
The average mean absolute deviation of a data set is the average of the absolute deviations from a central point. It is a summary statistic of statistical dispersion or variability.
How do we obtain useful information from a set of data?
You calculate summary statistics: measures of the central tendency and dispersion (spread). The precise statistics would depend on the nature of the data set.
How does finding the IQR hep you identify the variability of set of data?
The IQR gives the range of the middle half of the data and, in that respect, it is a measure of the variability of the data.
What is a number that helps describe all of the data in a data set?
There is no single number. There are several different measures of central tendency - different ones are better in different circumstances. Then there are several measures of spread or dispersion, skewness and so on. All of these are characteristics of the data and they cannot all be summarised by a single number.
