Units of Enumeration
These are units which data is collected in terms production of cloth - meters, weight-tons, time - hours. Units of collection and Enumeration are of three types.
a) Single units : it represents single determining characteristic such as miles, tons etc
b) Compound units : it represents combination of two or more simple units, which represents more than one determining characteristics, such as passenger - kilometres, tons - kilometres,
c) Hypothetical units : These units are used to facilitate comparison, examples are horsepower, coal equivalent .
Units of analysis and interpretation
These are units where subjects and objects or attributes of subjects and objects are not only named but compared.
The following are the types …show more content…
Kurtosis is a statistical measure used to describe the distribution of observed data around the mean.
Descriptive statistics do not enable us to make conclusions beyond the data we have analysed or reach conclusions regarding any inference we might have made.
Measures of variability are another important technique used in descriptive statistics. These measures define the methods of summarizing a group of data by describing how spread out the data is.
To describe this spread, a number of statistics are available, which are range, quartiles, absolute deviation, variance and standard deviation. Units of Enumeration
These are units which data is collected in terms production of cloth - meters, weight-tons, time - hours. Units of collection and Enumeration are of three types.
a) Single units : it represents single determining characteristic such as miles, tons etc
b) Compound units : it represents combination of two or more simple units, which represents more than one determining characteristics, such as passenger - kilometres, tons - …show more content…
They differ in many aspects like the role assigned to them in the research and in the type of measures that can be applied to them.
Measures in descriptive statistics to describe the data set under investigation include measures of central tendency and measures of variability. A measure of central tendency is a single value that attempts to describe a set of data by identifying the central position. The measures of central tendency include mean, median and mode. The mean is equal to the sum of all the values in the data set divided by the number of values in the data set. Although data points fall above, below, or on the mean, it can be considered a good estimate for predicting subsequent data points.
An important characteristic of mean is that it includes every value in your data set as part of the calculation. Mean has an important disadvantage, which is that the outliers greatly influence the mean. Outliers are extreme values in our data set. Outliers can be unusually minimum or maximum value while compared with the rest of the data
These are units which data is collected in terms production of cloth - meters, weight-tons, time - hours. Units of collection and Enumeration are of three types.
a) Single units : it represents single determining characteristic such as miles, tons etc
b) Compound units : it represents combination of two or more simple units, which represents more than one determining characteristics, such as passenger - kilometres, tons - kilometres,
c) Hypothetical units : These units are used to facilitate comparison, examples are horsepower, coal equivalent .
Units of analysis and interpretation
These are units where subjects and objects or attributes of subjects and objects are not only named but compared.
The following are the types …show more content…
Kurtosis is a statistical measure used to describe the distribution of observed data around the mean.
Descriptive statistics do not enable us to make conclusions beyond the data we have analysed or reach conclusions regarding any inference we might have made.
Measures of variability are another important technique used in descriptive statistics. These measures define the methods of summarizing a group of data by describing how spread out the data is.
To describe this spread, a number of statistics are available, which are range, quartiles, absolute deviation, variance and standard deviation. Units of Enumeration
These are units which data is collected in terms production of cloth - meters, weight-tons, time - hours. Units of collection and Enumeration are of three types.
a) Single units : it represents single determining characteristic such as miles, tons etc
b) Compound units : it represents combination of two or more simple units, which represents more than one determining characteristics, such as passenger - kilometres, tons - …show more content…
They differ in many aspects like the role assigned to them in the research and in the type of measures that can be applied to them.
Measures in descriptive statistics to describe the data set under investigation include measures of central tendency and measures of variability. A measure of central tendency is a single value that attempts to describe a set of data by identifying the central position. The measures of central tendency include mean, median and mode. The mean is equal to the sum of all the values in the data set divided by the number of values in the data set. Although data points fall above, below, or on the mean, it can be considered a good estimate for predicting subsequent data points.
An important characteristic of mean is that it includes every value in your data set as part of the calculation. Mean has an important disadvantage, which is that the outliers greatly influence the mean. Outliers are extreme values in our data set. Outliers can be unusually minimum or maximum value while compared with the rest of the data