Report On The Distribution Of Values

STATS 415 Data Mining Project Insights into the prediction of the default payment through the history of payments, the amount of previous payment and the amount of bill payment

First, an understanding of each of these attributes is needed in the interest of gaining further insight on how they

problem in collection due to an incorrect collection policy or lack of liquidity by buyers. An increase in debt in the year 1997 and 1998 shows the cost of interest due to aggressive investments or integration strategies. The company’s ability to meet its debt obligations drops significantly in the year 1996 due to closing the year at a loss, yet the company managed to control it

Describe briefly what each statistic in parts a. to c. tells you about the data.

Familiarise yourself with the data set provided. This will include doing research to help you understand the variables and develop a purpose for the investigation.

the borrowers. The lenders of financial institutions no longer trust approving loans to less than

Due to the U.S. Governments relaxed lending stipulations and low interest rates, the demand for houses soared from 1996 to 2006, consequently increasing home prices across the country. During this time period home prices rose nearly fifty percent (Li, 2015). Comparatively, from

Next you will need to decide on how you will obtain and analyze your research data. This process will be determined by the type of research problem that was define in the beginning of the research development and revolve around your hypothesis or desired results (M., 2004). You will have annotate and share the results of your data collection. This after action report of the obtained data will allow the researcher to determine whether or not the desired results were obtained or will there need to be some follow on research in order to generate expanded results.

The aim of this report is to analyse the assessment results of two primary schools within Bradford-on-Avon, a small town in Wiltshire; Fitzmaurice Community Primary School and Christ Church Voluntary Controlled Primary School. The data below is retrieved from the Department of Education (2014) and compared with local authority and national averages.

Statistics used to describe, or descriptive statistics, are single numbers that describe a sample of data (Kiess & Green, 2010, p. 7). Descriptive statistics merely describe what the data consists of (Trochim, 2006). Several frequently used descriptive statistics are the mean, median, and mode (Kiess & Green, 2010, p. 7). Descriptive statistics are used when it is necessary to relay large amounts of quantitative data in a simple, understandable way (Trochim, 2006). However, in some cases the use of descriptive statistics may simplify the data too much, leaving out important information (Trochim, 2006).

Also its ‘centre’ can often be meaningfully represented by the Median and the variation can sometimes be measured by the Range or the Inter Quartile Range.

By computing number of years of job experience, out of 22 students mean is 6.34 higher than median and mode due to two students have more than 20 years of work experience, median is 3 and mode is 1 which suggest majority students have only one year work experience. The standard deviation of data is 7.56.

The cost of debt is equivalent to the interest rate a corporation, and individual, or a household is paying on all of its debt such as loans or bonds. Debt is inclusive of repayment later, just as savings can be used later. It is believed that corporations with higher debt are frequently the riskier conglomerates. The risky behavior of some businesses can sometimes be attractive to potential investors, while causing others to shy away. Household debt unfolds similarly to that of major corporations, but on a smaller scale. While the bulk of credit in a household is extended in the form of mortgages, a lot dwells in the plastic credit cards. Unfortunately, credit is often used to bridge the gap in income or temporary drops and can ultimately cause the debt of a household to increase substantially. Credit cards often enable some households the consumption of possibilities that would not otherwise be around.

A frequency analysis and analysis of distribution, depicted with histograms and box plots, portraying the distribution of the different age groups within the world population.

Descriptive statistics organize and describe the characteristics of a data set. Researchers are interested in two types of descriptive statistics: central tendency and variability. Measures of central tendency describe the center of a distribution of scores. Common measures of central tendency are the mean, median, and mode. Variability describes the dispersion or spread of scores in a data set. The three commonly reported measures of variability are standard deviation, range, and variance. Both of these types of descriptive statistics are necessary for research methods because they enable the experimenter to see trends and draw conclusions from the data set. Information provided by the combination of measures of central