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Statistics project

6 pages (1500 words)
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...Statistics 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...

Statistics project

5 pages (1250 words)
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...Statistics 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,...

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Statistics Project, Political Science

2 pages (500 words)

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...Statistics 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

2 pages (500 words)
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...Statistics
a. Normal Distribution
i. The histograms for plant heights without music exposure and with music exposure are designed separately since they were subjected to different conditions. The histograms are shown in Figure 2.1 and 2.2 respectively. From these histograms, it can be observed that in both cases the curves are bell-shaped hence indicating that the data is normally distributed (Basic Tools for process Improvement).
Figure 2.1: Histogram for plants without music exposure
Figure 2.2: Histogram for plants with music exposure
ii. The mean, median and mode can be calculated for the entire data as well as the two groups separately... (Descriptive Statistics). The...

Capital Budgeting Statistics Project

21 pages (5250 words)
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...projects, long-term sources of funds become the best suited means of financing. One of the most important considerations for an investment and financing decision will be proper asset... 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 seen only in the long-term and these decisions are also irreversible in nature.
By nature of these proj...

Statistics Project

4 pages (1000 words)

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...Statistics N Minimum Maximum Mean Std. Deviation Variance Skewness Kurtosis Statistic
Statistic
Statistic
Statistic
Std. Error
Statistic
Statistic
Statistic
Std. Error
Statistic
Std. Error
AGE OF RESPONDENT
1969
18
89
48.19
.399
17.687
312.834
.295
.055
-.794
.110
HIGHEST YEAR OF SCHOOL COMPLETED
1972
0
20
13.53
.070
3.127
9.775
-.398
.055
1.169
.110
SUBJECTIVE CLASS IDENTIFICATION
1957
1
4
2.39
.016
.714
.510
-.190
.055
-.397
.111
R EVER INJECT DRUGS
1703
1
2
1.98
.004
.155
.024
-6.135
.059
35.681
.119
Valid N (listwise)
1687
Part III
a) The measures of central tendency and variability of the financial status and depression
Descriptive Statistics
N
Range... Part II Part II b Part II C Descriptive...

Statistics project

6 pages (1500 words)

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...statistically true. For instance, the rate of increase in the number of full-timers... CHARACTERISTICS OF DUTCH FASHION STORES (1990 EXAMINING THE SALES’ MODEL By Presented to Introduction This report provides an analysis of data collected from 400 Dutch fashion stores in 1990. The data consists of cloth material sales made (in square meters), the number of full-time employees, number of part-time employees, total number of hours input by employees, and the size of the sales’ store. The aim of the analysis is to investigate how each of the independent variables (the number of full-time employees, number of part-time employees, total number of hours input by employees, and the size of the sales’ store)...

Real Estate Statistics Project

8 pages (2000 words)

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...Statistics''''''''''''''''''''6
Invest wisely''''''''''''''''''.8
Conclusion'''''''''''''''''''10
Sources''''''''''''''''''''.11
Real Estate
Introduction
The real estate market may be down but people are still buying and selling houses. The need to buy and sell is inherently influenced by reasons such as job transfers, decision to buy bigger property, inability to pay mortgages, etc. The reasons may not be for business all the time.
Real estate prices are factored on the premise of land demand. There is so... Real E Real E Titus Rock Manickam Order No. 315203 11 August 2009 Table of Contents Introduction''''''''''''''''''.. 3
Prospective market value''''''''''''...4
St...

Statistics project what factors affects the happiness of a country

10 pages (2500 words)

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...Statistics Project what Factors Affects the Happiness of a Country What Factors Affects the Happiness of a Country Introduction
This research project investigates the factors that affect happiness. This involves the study of relationship between the happiness index of a country and the influential factors as listed below.
Happiness Rank
Country
Life Expectancy
Well-being (measured between 1 and 10)
Happy Life Years
Footprint (gha / capita)
Happy Planet Index
Population
GDP/capita ($PPP)
Governance Rank
Sub-Region
This study uses data from (http://www.happyplanetindex.org/data/), with the main dependent variable being the happiness (HPI Rank). The study is based on the concept that everybody... Essay...

Statistics Project ( Need a topic)

4 pages (1000 words)

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...statistical analysis of Gross National Income of 173 countries of the world. The main theme is to comment on the data through selection of appropriate measure of central tendency. The second part consists of the analysis of data related to the visitors to UK and the revenue that UK generates. The regression analysis and coefficient of correlation are used to determine the required results.
Table of Contents:
1. Cover Page
2. Abstract
3. Problem Statement
4. Descriptive Statistics
5. Procedures
6. Results
7. Conclusions
Problem Statement
Data... was collected by the World Bank Organisation about the Gross National Income, expressed in purchasing power parity dollars to adjust for price...

Business stat project

2 pages (500 words)

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...statistics 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...

Regression analysis project

2 pages (500 words)

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...STATISTICS 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...

Applied Statistics for Finance and Economics

8 pages (2000 words)

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...Statistics Project, Statistics Applied Statistics for Finance and Economics Introduction This is a statistical project involving various statistical tests on a dataset of four variables. The variables include share price (y) of a stock at the end of the week, standard and poor 500 at the end of the week (sap), a dummy time measurement variable (time_dum) and newt (frequency of the data). The data set will also contain two more variables forming the centre of focus of the rest of the regression analysis and other statistical processes (Sheather, 2004). These are the log return series of the stock value dly, and the log return of the standard and poor 500 indices (dlsap). The two will guide... ...

Regression analysis project

2 pages (500 words)

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...Statistics 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...

Statistics

2 pages (500 words)

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...Statistics Affiliation Answers to study questions in Exercise 11 The demographic variable that were measured at the interval level of measurements were age, annual income, length of labor, return to workers, and number of workers per week (Troy & Dalgas-Pelish, 2003).
2. Descriptive statistics were used in the description of length of labor in this study. Descriptive statistics were not appropriate because it considered only the features of the group being studied (Agresti, 2007).
3. Other statistic that could have been used in describing the length of labor is categorical statistics distribution...

Statistics

2 pages (500 words)

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...Statistical Analysis Descriptive Statistics Group Statistics Movie Type N Mean Std. Deviation Std. Error Mean Empathy score Group M & D
1.00
15
79.5333
8.76573
2.26330
2.00
15
61.8667
11.04450
2.85168
Independent Samples Test
Levenes Test for Equality of Variances
t-test for Equality of Means
F
Sig.
t
Empathy score Group M & D
Equal variances assumed
1.513
.229
4.853
Equal variances not assumed
4.853
Independent Samples Test
t-test for Equality of Means
df
Sig. (2-tailed)
Mean Difference
Empathy score Group M & D
Equal variances assumed
28
.000
17.66667
Equal variances not assumed
26.627
.000
17.66667
Independent Samples Test
t-test for Equality of Means
95% Confidence Interval... Results from the...

Refer to the Project Data provided on Blackboard by the Instructor. The data shows student enrolment in a private college from 1965 to 2005

8 pages (2000 words)

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...Statistics Project Introduction: This project is aimed at providing information and analysis about the enrolment trend in a Private College for the 41 years period from the year 1965 to 2005 (both inclusive). It shows how the trend changed during these 41 years and it also shows the year wise enrolment as well as decade wise enrolment. Suitable graphs are also given along with stem and leaf diagram for the data. A table of descriptive statistics is also given. A table of frequencies, relative frequencies and cumulative relative frequencies also being given to enable the reader more comprehensive look at the data.
A....

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... will analyze is the State-by-state unemployment rates...

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...

Descriptive Statistics

6 pages (1500 words)

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...statistics: Personal expenditures and determinants Program: Supervisor: August 19, Descriptive statistics: Personal expenditures and determinants
Introduction
Consumption, measurable through quantities of goods and services that individuals demand for in a period, is one of the aspects of economics, and it depends on factors whose understanding may be significant to consumers, producers, and intermediaries. Statistical application to understanding distribution of levels of consumption and associated factors is significant to business organizations for policymaking and for decisions on levels of production (Lee, C., Lee, J., & Lee A., 2013). Understanding distribution of levels of income... Descriptive...

Inferential Statistics

6 pages (1500 words)
, Download 2

...Statistics Introduction The aim of the study was to find what influences the choice of the consumer towards particular operating systems in the different smartphones.
We are set to find out the following;
What is the current market share of the operating system?
What influences the choice of the smartphone?
Definition of data
The main depended variables of the data is smartphone. The independent variables are App, Graphical User Interface (GUI) and functionality. The study evaluates the consumer decisions in buying a smartphone in particular the set of attributes on the software (Del I. Hawkins, 2010).
Hypothesis
A statistical hypothesis test, is a decision made between two opposing... Inferential...

Statistics assignment

2 pages (500 words)

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...Statistics 302 Assignment 2 Report written by: Number: ”I confirm that I have not received help from, or given help to, anyone else in constructing the
solution to this assignment”
______________________
Name
Q1. (10) The number of UBC students infected by H1N1 is a Poisson random variable with rate 5 per week.
(a) What is the probability that there are more than 10 students infected in a week?
Solution:
The poisson probability is given by:
p(x; μ) = (e-μ) (μx) / x!
The probability that more than 10 students are infected in a week =
P(x>10, μ = 5) = e-(5) * [(511)/11! + (512)/12! + (513)/13! + … + 5^20/20! +..]
P(x>10, μ = 5) = e-(5) * 2.0325
P(x>10,...

Descriptive statistics

4 pages (1000 words)
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...Statistics Descriptive Statistics ASSIGNMENT PART ONE Task One Difference in Eccentric pre-test and post-test Eccentric viewing
Pre-test
Post-test
Workings
Difference
32
39
39-32=7
7
214
217
217-214=3
3
22
53
53-24=31
31
0
51
51-0=51
51
27
74
74-27=47
47
75
71
71-75=-4
-4
70
85
85-70=15
15
58
115
115-58=57
57
14
154
154-14=140
140
37
103
103-37=66
66
45
127
127-45=82
82
106
187
187-106=81
81
Task Two
Eccentric Viewing group difference scores
Frequency
Workings
Percent
7
1
(1/12)*100=8.33%
8.33%
3
1
(1/12)*100=8.33%
8.33%
31
1
(1/12)*100=8.33%
8.33%
51
1
(1/12)*100=8.33%
8.33%
47
1
(1/12)*100=8.33%
8.33%
-4
1
(1/12)*100=8.33%
8.33%
15
1
(1/12)*100=8.33%
8.33%
57
1
(1/12)*100=8.33%
8.33... Descriptive...

Descriptive Statistics

2 pages (500 words)
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...statistics Consider this scenario: You are on the Board of Directors of the National Parkinsons Association. Two different research labs are working on medications to decrease the debilitating effects of the disease. Your responsibility is to review and evaluate both of the results from the research studies and make recommendations for future funding. You can only fund one of the two. Patients and their families are anxiously waiting for the Board of Directors to make a decision on which of the two can be funded.
Part I: Your first task it to do the following calculations for both of the results that have been submitted to you. Mean, Median, Mode, Range, Standard Deviation... have chosen the...

Business statistics

10 pages (2500 words)

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...Statistics Executive Summary This paper tries to explore the diverse statistical measures employing the sample data drawn randomly of sample size 33. The subject of interest is to test is the difference in intelligence among the male and female students. In order to make sure the randomness of the sample drawn, the student names were collected from each department and then using the random number sample was drawn. Since the data involved didn’t require any survey procedure, the databases were used to gather data.
The data generated was then tabulated on the MS Excel 2007 and further analysis was done using the data analysis ribbon of MS Excel 2007. In order to test the hypothesis... is...

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