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Final Project

4 pages (1000 words)

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...Statistics in Sports and Health Sciences assignment Energy intake and physical exercise A number of researchers have investigated the relationship between energy intake and physical activity. A number of studies have shown that eating frequently is a result of higher energy consumption brought about by factors like physical activities (Duval, et al. 2008). Several A one-day food record, physical activities and an assessment of the energy intake after the exercise sessions were obtained from 20 individuals who visited the estate gym. The data for this assignment (see Appendix 1) contains information on energy intake in a group of men before and after an exercise session. The interest... in Sports and...

Final Project

5 pages (1250 words)

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...Discovering the Trend of School Enrollment in the US by: Discovering the Trend of School Enrollment inthe US
Abstract
This study looks at the changes in enrollment in higher education institutions and attempts to determine the factors that influence it. It uses the education data from the National Statistical Book 2011 released by the US Census Bureau. Data sets were processed through a statistical software in order to identify whether costs of schooling and fiscal budget for education can affect rate of enrollment. The results show that while the average rate of tuition fees and cost of board has significant effects on enrollment rate in the higher education, other factors were not able... the Trend...

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CQF final Project

12 pages (3000 words)
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... MONTE CARLO SIMULATION Monte Carlo simulation is basic sampling approach to simulating physical phenomenon used in variousareas such as risk analysis, financial markets, particle transport, molecular modeling and many other different areas. Monte Carlo approaches use random sampling to simulate physical phenomenon.
The example to be used in this section will be bending of a beam. The main idea is that there will be lots of beams to be manufactured hence there will be variability in the output of the beams from the manufacturer. The main parameters of the beam will be discussed in the oncoming paragraph.
Consider a cantilever beam that has a load that is denoted by F and the load is applied... MONTE...

Final

6 pages (1500 words)
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...final exam. Exam submitted without the Honor Pledge will not be accepted.
Use the information below to answer Questions 1 through 4.
Given a sample size of 36, with sample mean 670.3 and sample standard deviation 114.9, we perform the following hypothesis test.
Null Hypothesis... answer all 30 questions. Make sure your answers are as complete as possible. Show all of your work and reasoning. In particular, when thereare calculations involved, you must show how you come up with your answers with critical work and/or necessary tables. Answers that come straight from program software packages will not be accepted.
You must include the Honor Pledge on the title page of your submitted final exam. Exam su...

Project

5 pages (1250 words)

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...final regression equation for model 1: Price of housing=137 -0.46633 (cost of construction)
Model 2
The general regression equation:Y= a+b2x2
Specific regression equation: Price of housing = a + b2 (Population... Factors Affecting Residential Housing The main objective of this study was based on data obtained from 37 residential housing. There are factors that were presumed to affect the price of housing. The factors include the cost of construction, inflation rates, interest rates and real property gains tax and population. Therefore, the main aim of the study was to analyze the collected data and determine the level of influence of these variables on the price of housing using different model of...

Project

3 pages (750 words)

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...Project) Year: 14 Unemployment Rates by over 10 Year Period
(Spring 2014 Research Project)
1. Introduction
Goal: To collect, describe and analyze bivariate (2-variable) data to answer a research question.
Research Question: How have unemployment rates in the U.S. changed over the last ten years?
Data: State-by-state unemployment rates from 2003 (x-variable) versus 2013 (y-variable).
a. The research question examined is: “How have unemployment rates in the U.S. changed over the last ten years?” I am interested in analyzing if there is a relationship between the State-by-state unemployment rate today and ten years back. The data I... Rates by over 10 Year Period (Spring Research Project) Year: 14...

The offer from Big Ideas Limited for Project Management Limited

6 pages (1500 words)
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...project plan, as we definitely hope it will, the surplus of UKP8, 750 would be the return from the project proceedings to BIL.
Risk Assessment
In a worst case scenario, assuming that the participation falls short by up to 50 hands (due to unforeseen circumstances) pegging the final attendance at 200, the revenues would fall by UKP10, 000. However, in this eventuality, the expenditure towards lunch/refreshments, and programme materials... Project Management Assignment - 2 Business Case Proposal for Big Ideas Limited Background Project Management Limited (PML) has received a consultancy project offer from Big Ideas Limited (BIL) for conducting a one-day Conference on Project Management. In the...

Capital Budgeting Statistics Project

21 pages (5250 words)
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...final market value of a project or an investment equal to its current market value (Visitask.com, 2004). In simple words, IRR is the'discount rate often used in capital budgeting that makes the net present value of all cash flows from a particular project'equal to zero. Generally speaking... Capital Budgeting - An Introduction Business firms need finance mainly for two purposes - to find the long-term decisions and for meeting the working capital requirements. The long-term decisions of a firm involve setting up of the firm, expansion, diversification, modernization and other similar capital expenditure decisions ((ICMR), 2003). All these decisions involve huge investment, the benefits of which will be ...

Econ Project

1 pages (250 words)

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...Project The analysis will seek to explain the effectiveness of the different variables used in the model, the variable include a constant (c), price, end cap, demo, demo3, demo5, natural and fitness. From the excel output, variable c represent the intercept and it is the point at which the regression line cuts the vertical axis whereas the coefficients of the variable represents the slope of the regression line, the coefficient of price is – 22.49817 and this implies that for every increase of 1 in the x-axis the value on the y-axis will change by -22.49817. Similarly, the variable with a positive coefficient such as demo which is 118.3667 implies that an increase of 1 on the x-axis causes... Economics...

Statistic project

3 pages (750 words)

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...Project The that was observed has 80 persons. The information about the is described by nominal and interval data. The nominal data is processed to obtain the proportions between different groups (male vs. female, preferred drink, etc.). The standard Excel function COUNTIF is used to find the number of representatives for each group (Anderson, Sweeney, and Williams 37-95).
The results of processing nominal data are the following. 62.5 % of classmates are female and 37.5 % are male persons. Most of the classmates prefer to eat at the restaurants of Mexican kitchen (56. 25 %). Italian restaurants are at the second place (28.75 %). 10 % of classmates prefer to eat at the Chinese restaurant... Statistic...

Statistics project

6 pages (1500 words)
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...project Pair-wise correlation coefficients between sales per square meter and each of the other variables The data relates to the annual sales of 400 Dutch fashion stores during 1990. There are two data types on broad basis. One is discrete type of data which has only limited categories (maximum 10) whereas the continuous data can take any value within a range. In our study, all the variables are continuous in nature. The variables dealt in the data are: Sales per square metre which is referred by sales (also the target variable), Number of full timers which is referred by nfull, Number of part timers which is referred by npart, Total number of hours worked which is referred by hoursw... Statistics...

Statistics project

5 pages (1250 words)
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...Project Affiliation Statistics Project A careful analysis of the Chinese telecom industry reveals that there are a number of marketing related challenges, such as stiff competition, changes in consumer tastes and preferences, poor communication strategies, and inadequate marketing research, facing the industry. By executing this study, the researcher will thus help in suggesting solutions for the purpose of improving the telecommunication industry growth rate. Pradhan, Bele & Pandey (2013) establishes that the telecommunication sector is a vital component of any economy. Through the growth of the telecom sector, economies such as the United States and India have experienced positive... Statistics Project ...

Project report

6 pages (1500 words)

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...PROJECT REPORT Project Report Question Figure shows the scatterplot between sales per square metre and number of full-timers. As shown in figure 1, there appears a positive linear relationship between sales per square metre and number of full-timers. The value of the correlation coefficient between sales per square metre and number of full-timers is about 0.2372. This suggests a weak positive linear relationship between sales per square metre and number of full- timers.
Figure 1: Scatterplot showing the relationship between sales and number of full-timers
Figure 2 shows the scatterplot between sales per square metre and number of part-timers. As shown in figure 2... INTRODUCTION TO STATISTICS - (L1025)...

Regression analysis project

2 pages (500 words)

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...Project: Statistics Regression Analysis Project PROBLEM 2 Model Specification The model to be used in this test is Logistic regression with the following model:
P = kv
Where p is the probability that someone will be tested with prostate cancer, k is the coefficient of regression, and v is the most significant variable in determining the probability p. Outliers in this dataset include cancer, inv and cap since they have fixed and immeasurable quantities compared to the rest of the variables.
Transformation and important Variables
The necessary transformation in this regression process is the binomial transformation using “mylogit” function. The most important variable in this case is c.vol... Statistics...

Business stat project

2 pages (500 words)

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...project Statistical analysis is important to managerial decisions as it offersinsights into data. Its results include summaries of trends and analysis of possible differences in variables and their significance for informed decisions. This discussion offers analysis of data on age, household income, and years of education of customers for five major motor vehicle companies in North America. The discussion is based on the hypothesis that Cadillac has retained control of the segment of older men and has lost the other segment to its competitors and that this is a possible factor to decline in the company’s market control.
Table 1: Mean, median, mode, and standard... April 27, Business statistics project...

Regression analysis project

2 pages (500 words)

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...PROJECT ID ID Lecturer Model Specification The goal of this problem is to build amodel to predict the total cost of claims for coronary heart disease based on the other variables. To build a model that would predict the dependent variable we need to have an generalized linear model where we use multiple regression. The following equation model is thus estimated;
Looking for outliers
Descriptive statistics
The summary statistics presented below shows that the data set does contain any outliers and as such there is no such need to remove them.
cost int duration age
Min. : 0.0 Min. : 0.000 Min. : 0.00 Min. :24.00
1st Qu... R-STATISTICS PROJECT ...

Econometric analysis project

5 pages (1250 words)

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...project we consider a time series data... , creating an accurate forecast based on the analysis alone is difficult. Therefore, many approaches and models have to be developed in order to utilize the time series analysis and provide an accurate prediction of what is to come in the future. The purpose of this report is to apply the statistical techniques to understand the relationship, if any exists, between capital punishment and homicide rate.
Data
The data used in this project was a time series and was obtained from Federal Bureau of Investigation spanning from the year 1991 to 2011.
year
Homicide rate
Number under death penalty
year
Homicide rate
Number under death...

Term project part III

3 pages (750 words)

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...Project – Part III ment of the question In this research, our interest is to ascertain whether crime rate within the local cities is mainly related with the number of the uniformed officers within the police department of each of the cities or there are some other variables, such as income level, educational level, literacy level among others, that influence crime rate.
Discussion
Since crime affects each and every one living in the city, the research question would be of interest to many students and the local people, particularly the residents of the affected cities. Students cannot comfortably attend their studies if there are several incidents of crime... Yao Yao Laffie Statistic 3050 20 April Term...

Math Tidal Flows project

3 pages (750 words)

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...project to be feasible, the plant needs to be able to operate at full capacity... 1. Because I cannot type the graph right here, so that I point out all the number for you 2. The graph can be doing from excel Direction: You are a team of consulting engineers studying the flow of water from a certain river into a large lake. You have data in the form of a graph detailing the amount of water that has flowed into the lake from the river over a fourteen-day period.
Day
billion gallons
Day 1
0.5
Day 2
1.1
Day 3
1.5
Day 4
2
Day 5
2.3
Day 6
2.5
Day 7
2.6
Day 8
2.7
Day 9
2.75
Day 10
2.8
Day 11
2.9
Day 12
3
Day 13
3.25
Day 14
3.4
Your job is to report several results to your client as follow:
1. First, determine ...

Statistics Project, Political Science

2 pages (500 words)

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...Project, Political Science Overview of Theory International politics is a discipline closely relatedto international relations that is known as the political relationship or link between foreign nations (Black 65). It is a branch of political science, which is concerned with foreign affairs between countries and, specifically, international policies. In other words, international politics defines the politics of the global community in a fairly narrow sense mainly about diplomacy, as well as state relations and other political units (Black 65). Apart political science, the discipline of international politics draws intellectual materials from the fields engineering and technology... Statistics Project,...

Project

8 pages (2000 words)

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...finally npart. The number of part timers seems to influence the least in the prediction of sales per sq. mtr. The sales floor space of the store adversely (negatively) influence the sales per sq. mtr. In that sense, if the sales floor space of the store increases, sales per sq. mtr decreases and if the sales... Introduction to Statistics Introduction In organizations, both the physical infrastructure and human resources play a crucial and complimenting role. Speaking of organizational infrastructure, it has to facilitate the streamlining of operational processes and as to support as well as motivate the employees. As Townsend (2006) states “organization infrastructure links goals, activities and people...

COMMUNITY PROJECT PAPER

10 pages (2500 words)

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...Project Paper The place under review in this particular case is an urban location, Langley Park Maryland. . I visited the location by going to a different town in an effort to change the scene from the local location and I found this to be rather interesting as it would be more educational in terms of the geography. The area stretches as far as 7 Square miles in terms of the physical size; the Total Population of the location is at 103,689 people making it a rather intriguing area of study. It is important to go through the health and social dynamics of the area in order to gain an even deeper understanding.
There are major topography figures in the location and one of them is the great... Community...

Project

4 pages (1000 words)

Nobody downloaded yet

... Unit: Relationship between Qatar’s cereal imports and real GDP of exporting countries Introduction The initiation of international trade depends on different economic variables between the treading partners. The annual GDP for instance is an indictor of the aggregate demand and supply in the country and will be influenced by the direction of international trade within the country. The real GDP of country will be influenced by the amounts of goods that are imported by the country which also includes the import of cereals. It is important to note that the
This paper seeks to perform a regression on the dynamic environment of trade between Qatar and trading partners which are United Arab... Unit:...

Project

5 pages (1250 words)

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... Question Depreciation Straight line Purchase Cost $85,000 Installation cost $800 Set up cost $4,000 Residual value $12,000 Cost basis
85,000 + 4,000 + 800 = $89,800
Number of periods
7 years
Depreciation = cost basis – residual value
= $89,800 - $12,000
=$77,800
Depreciation per year =
=
= $11,114 per year
Straight line depreciation schedule
Cost basis
depreciation
Accumulate depreciation
Net Book Value
Year 1
$89,800
$11,114
$11,114
$78,686
Year 2
$89,800
$11,114
$22,228
$67,572
Year 3
$89,800
$11,114
$33,342
$56,458
Year 4
$89,800
$11,114
$44,456
$45,344
Year 5
$89,800
$11,114
$55,570
$34,230
Year 6
$89,800
$11,114
$66,684
$23,116
Year 7
$89,800
$11,114
$77,798
$12,002... Question...

Statistical Analyses of Research Question

16 pages (4000 words)

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...Final project report. Washington, DC: National Criminal Justice Reference Service.... employees in every neighborhood, the average number of drug-related arrests made per neighborhood, average age of persons in every neighborhood, the median income, and the proportion of the population that is unemployed.
The next step involved ascertaining whether the data was fit for the intended tests. In particular, regression analysis requires that data meets some prerequisites, all related to distribution, multicollinearity, linearity, and homoscedasticity. Once ascertained, the two final tests (regression and correlation analysis) were run in the SPSS software to investigate...

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