LABOUR FORCE PARTICIPATION RATE

Labour force participation rate

Labour Force Participation Rate

Question 1

Statistics

Labor Force Participation Rate of MF

N

Valid

189

Missing

0

Mean

63.6720

Std. Error of Mean

.75640

Median

62.7000

Mode

65.80 a

Std. Deviation

1.03987E1

Variance

108.133

Skewness

.222

Std. Error of Skewness

.177

Kurtosis

- .089

Std. Error of Kurtosis

.352

Range

48.50

Minimum

40.80

Maximum

89.30

a. Multiple modes exist. The smallest value is shown

The result of the above table is showing the mean of the variable that is used in analyzing the data which is labour force participation rate in context of male and female. The most important values of the above table that is means and the standard deviation of the variable are important to study as these values are providing the accuracy of the data which has been gathered. From the above table, it is observed that the standard deviation of the labour force participation rate in context of male and female is high as compared. Furthermore, it shows that among the male and female the labour force participation rate varies a lot in different countries.

In addition to this, as the bar charts, histograms are used to highlight the difference between classes that have been grouped data. Therefore, to construct any of the two types of graphs, it takes the first group data into a table which is known as a frequency table.

For continuous numeric data the data is grouped in intervals or bins, as they say in English. In statistics, a histogram is a graph of a Variable in the form of bars, where the surface of each bar is proportional to the frequency of the values ??represented. In the vertical axis represents frequencies, and on the horizontal axis the values ??of the variables, usually pointing marks class, that is, half the interval at which data is grouped. In mathematical terms, can be defined as an injective function (or mapping) that accumulates (count) observations belonging to each subinterval of a partition. The histogram, as traditionally understood, is merely a graphic representation of the function. A frequency interval is the number of data contained therein. The intervals should possess the following characteristics:

All must be the same width (class width).

They should not overlap.

All data must fall into one of the intervals.

Must be a total of between 5 and 15 intervals.

To make the frequency table for a histogram, you must first set the number of intervals you want to have.

Then, determine the common width of the intervals (interval width). For this, we calculate the difference of more data and less data, and divided by the number of desired intervals. This result is rounded to the nearest integer greater.

The distribution measurements allow us to identify how they separate or agglomerate values ??according to their graphic representation. These measures describe how tend to gather data in accordance with the frequency with which are positioned within the information. Its usefulness lies in the possibility of identifying the characteristics of the distribution without having to generate the graph. The main measures are the skewness and kurtosis. Thus, it can be said that the distribution is leptokurtic as the labour force participation rate in context of male and female is greater than ...