Essays on Interquartile Range

I was familiar with descriptive statistics before this course. We all are acquainted with mathematical calculations and descriptive statistics is based on calculations. In statistics, the data are clustered around a given set of observations so to analyze we use the measure of center, variability and shape . These are common methods of statistical calculations that are used in day to day life. For example ,we are familiar with the calculation of average of numbers. This is mean in statistics which is a part of measurement of central tendency (Triola,80).

How often do you report all three measures when you report any one of them?

As there is a relationship between the measure of ...

Problem #1

Plot the histogram of the number of cases of accident for each group of street speed, km/h. These histograms describe the distribution of the number of cases of accident that have happened at the speed of 40, 60, 80 and 100 km/h. The distribution of the accidents at the speed of 40 km/h and 60 km/h is right skewed. The distribution of accidents at the 80 km/h speed is almost symmetric and the distribution of accidents at 100 km/h is uniform.

Problem #2

The average number of accidents at the speed of 40 km/h is 3.1 with a standard deviation of ...

1. Box-and-whiskers Plot Box-and-whiskers plot is a graphical representation of data that shows the values of quartiles (i.e. quartile 1, 2 and 3) within a rectangular box. In this graph, the ends of the box represent quartile 1 (Q1) and quartile 3 (Q3), while quartile 2 (Q2) represents the median-the horizontal line inside the box. The length of the box-the difference between Q1 and Q3-is known as the interquartile range (i.e. IQR = Q3-Q1). Whiskers are lines inside the box drawn at the median. These lines represent extreme values within the observable range. It is also the line which corresponds to a ...

The price of houses varies due to various factors. Others might be very high mainly because of their locality and many other reasons, while others might be very low due to poor conditions of the houses or their sizes (Banerji, 2008). Objective of this report is to highlight factors that influence house pricing. To observe house prices distribution and the factors influencing it, the following data found in the internet detailing house prices in the Greater Manchester region will be analyzed statistically. It shows the locality, number of bedrooms, size of the garden, crime rate and price of the ...

Executive Summary

It is important to keep the customer requirements and preferences in mind in order to provide the best possible service and Sa Pisitta Supermarket is taking the opportunity in order to conduct a detailed analysis in order to come up with the solutions which can help them to target and attract their customers in a better manner. The variables defined are mainly the age, gender, distance and average monthly spent of the customers. The analysis targets an understanding of the association between different variables and how they impact each other. The overall data variables are converted into numeric responses in order ...