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(2008, 3300 words)
The paper examines the factors that determine the price of cars and the consumption of cars using the methods of descriptive statistics, T and Z tests, chi-square tests, miles per gallon (MPG) analysis, etc. The study is based on the observation of cars having different brands, sizes and producers statistically evaluating their consumption and price through probabilities, frequencies and regression analysis.
(2008, 3300 words)
The paper uses a set of statistical tools to evaluate the consumption and price of various types of cars. It uses probabilities, frequencies and regression analysis along with some statistical tests.
(2008, 690 words)
The paper presents a forecast of sales including a seasonally adjusted forecast and a linear exponential smoothing (LES) forecast for the quarters of year 2005. The stages of forecast calculations are described; the effectiveness of the two methods is compared.
(2008, 1600 words)
The paper analyses the evolution of the HIV /AIDS in the UK over the last two decades examining which groups in the society are more exposed to the virus and evaluating the evolution of the number of cases by applying descriptive statistics.
(2007, 500 words)
The paper looks at the housing price distribution in the UK examining a sample selection of apartments with different number of bedrooms, and evaluating the possibility of extending a real estate agency's operations to this area.
(2007, 1100 words)
The following research is devoted to the OLS regression statistical analysis.
(2007, 870 words)
The paper resolves a set of three exercises. One of them is related to investment decisions; the other one relies on financial mathematics and the third one is a solution to statistical problem using regression.
(2007, 2100 words)
This work examines the statistical relationships between variables affecting patients' experiences at a doctor's practice. It includes descriptive and inferential statistics, as well as a summary, introduction and methodology section.
(2006, 2000 words)
The paper reports on the statistical analysis of the BT customer study data investigating the levels of customer satisfaction with BT overall performance and the performance of each BT customer categories (business channels), i.e. BT Direct, BT Local buyers and BT Resellers. The variables that contribute to customer satisfaction are identified and evaluated.
(2006, 3500 words)
The paper reports on the statistical issues of measuring obesity examining the relationship between body fat and body mass index (BMI). Various techniques of computing a regression model are used; the model’s advantages and disadvantages are evaluated.
(2006, 2500 words)
The paper offers a quantitative data analysis calculating the probability of certain data occurrences in different samples including the frequency distribution for the total income for women and for men, the population of applicants within certain age groups, etc.
(2005, 3000 words)
This paper examines changes in terminal passengers at UK air ports. This paper is solely completed from statistical view point and includes analysis by Econometric model, Estimate equations, correlation Matrix, non linearity Ramsey test, Heteroskedasticity test, Autocorrelation test, Dynamic models, Dummy variables. And Forecasting using: improve model from various test as stated above. And also using Chow Forecast and Break even Test.
(2005, 1200 words)
The data on the attendance to the flea-market is studied. The initial set includes the monthly averaged number of dealers inside, dealers outside, and consumers during two years. The linear trend is fitted to the data and then the multiplicative and additive models are built to forecast the evolution of these numbers for the next three years. The time when the number of dealers and visitors reach the particular levels is predicted. Reliability of the forecast is assessed which in our particular case is low due to the insufficient data.
(2005, 1000 words+ data and calculations,)
A statistical dataset on 30 customers of a supermarket is made up using MS Excel random function. The dataset includes weekly expenditure, perception of the supermarket expensiveness, time spent at the check-out, and the time spent driving to the supermarket. A matrix is composed from the data to be used in linear regression model. Regression coefficients are calculated first as the solution of the corresponding matrix equation and then using Eviews and MS Excel. All three ways of calculation give the same result as expected. Consumer loyality is tested by testing the independence of expenditure and the price perception. The effect of driving time on the expenditure is assessed.
(2005, 1700 words + all calculations,)
A statistical survey on the variety and the pricing of the second hand cars sold by the local car dealers is performed. Data is acquired from the autotrader.co.uk internet database. A set of 75 cars of 3 brands, not older than 5 years, is analyzed using the MS Excel. Descriptive statistical values are calculated and interpreted; some frequency distributions and statistical observations on the car colour, engine size, and CD-player accessory are presented. A question is formulated concerning the difference in the average price of cars sold by different dealers. A simple investigation is undertaken to show that the price difference is defined by the choice of cars but not by the pricing policy of the traders. A critical appraisal of the survey is performed. MS Excel file with the pivot table and a variety of graphs and histograms is attached.
(2004, 2200 words)
The report presents a statistical analysis, unit roots test and test for cointegration on household final consumption expenditure and UK GDP time series data over 1955-2003.
(2004, 2300 words)
The paper evaluates statistical tools for problem-solving in
quality control using the seven tools concept, which was developed
by Kaoru Ishikawa.
(2004, 2300 words)
This report analyses the relationships between stock market prices and measures of size for forty randomly selected manufacturing and service firms. Both descriptive and inferential statistical techniques are used to quantify measures and ensure that outcomes are not the result of sampling errors.
(2003, 3600 words)
The paper provides answers on the following questions:
1. Outline the concepts of simple probability, conditional probability and joint probability, illustrating your answer with examples.
2. What are Type 1 and Type 2 errors? How are they related?
3. Write down the general form of the linear equation used in multiple regression and explain what multiple regression is used for. Why is the term 'least squares' sometimes used to describe the method?
4. The chi-squared test of the independence of two variables is commonly used to analyse contingency tables. Outline the assumptions underlying the test and explain how the test uses the difference between observed and expected values.
5. Height and weight are positively correlated in human populations. Explain the concept of correlation and describe the characteristics of Pearson's r.
6. The descriptive statistics calculated for a data set commonly include measures of central tendency and dispersion. Explain these two types of statistics illustrating your answer with examples.
7. What conditions are required for a sample to be representative of a population? Why is representative sampling important but hard to achieve?
8. The F-statistic, which is used in the analysis of variance (ANOVA), is a ratio of two quantities. Explain what the two quantities are and how they relate to between and within groups variability.
9. Explain the relationship between a region of rejection and a critical value of a test statistic.
10. A hierarchical cluster analysis is based on the "distance" between pairs of items. Explain the concept of distance giving examples of ways in which it can be measured.
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