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Statistics on Violent Crime Among UK Youth (2013)

8 pages (2000 words)

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... on Violent Crime Among UK Youth (2013)
I. Statistics on Violent Crime among UK Youth (2013)
Violent crime refers to actual or threatened aggression which accompanies the commission of an offense. The definition applies both in offenses where the cruel act is the aim, such as homicide, and offenses in which acts of hostilities are contribute to the commission of the offense such as a robbery. Some cases of violent crimes are executed with weapons while others are not. Violent crimes vary in terms of the impact on the victim and may be as simple as harassment or as serious as murder. The police and Crime Survey for England and Wales (CSEW) have different descriptions of what constitutes violent crime:...

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 transformation....

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Descriptive statistics spreadsheet in Excel including graphs

2 pages (500 words)

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... Statistics QNT/561 Definitions Central Tendency: Mean = average value of data in a set Mode = The value that appears most in a data set.
Dispersion:
Standard deviation = A measure of variation. Measures average variation of data points from mean of the data set
Range = the difference between the largest and smallest values in a set of data
Confidence Interval: (data must be normal)
The interval within which the mean is expected to fall at a given level of significance.
Normal or significantly skewed data:
Skewedness value
Data is normal if the value is zero or close to zero
Data is skewed if the value is significantly different from zero
Descriptive Statistics
Number of employees
Central Tenden...

Statistics

2 pages (500 words)

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... 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 (Agresti, 2007). In this case, a description of the length of labor could have been initiated whereby the length o...

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

2 pages (500 words)

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... from the 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 of the Differ...

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 (are there outliners you sh...

Inferential Statistics

6 pages (1500 words)
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... 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 hypotheses (Rob...

Business statistics

10 pages (2500 words)

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... Business 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, the signi...

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%
140
1
(1/12)*1...

Statistics Project

4 pages (1000 words)

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... Part II Part II b Part II C Descriptive 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
Minim...

Statistics Project

2 pages (500 words)
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... Set-up a. The objective of the researcher is to use the data set to test the impact of music on the growth (height) of plants. b. In this problem, the dependent variable is the height of the plants. The independent variable is the exposure of the plants to music. The independent variable is a categorical variable which assumes 2 values that is whether plants are subjected to music or not.
c. The level of measurement of the height of the plants follows a ratio scale since all the heights are distinct numbers.
d. The population distribution should be normally distributed since the plants in the two groups are selected at random. There is no selection bias involved.
e. Josh is making use of simple rando...

Real Estate Statistics Project

8 pages (2000 words)

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... E Real E Titus Rock Manickam Order No. 315203 11 August 2009 Table of Contents Introduction''''''''''''''''''.. 3
Prospective market value''''''''''''...4
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 much ...

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 across a mark...

Statistics Assignment

5 pages (1250 words)

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... a. Answer: This is concerned with the confidence interval of difference of proportions. The first proportion is p1=0.74, the second proportion is p2=0.52. The difference is 0.74–0.52=0.22, the standard error of the difference is SE(p1–p2)=sqrt(pq(1/n1+1/n2)) where
p=(n1p1+n2p2)/(n1+n2)=(0.74*350+0.52*500)/(350+500)=(259+260)/850=0.611, q=1–p=0.389
So, SE(p1–p2)=0.033984. The 95% confidence interval is given by
[(p1–p2)-1.96*SE(p1–p2),(p1–p2)-1.96*SE(p1–p2)]=(0.22-0.067,0.22+0.067)=(0.153,0.287) ie. between 15.3% and 28.7%
(b) (i) Answer:
The alternative hypothesis H1 is that perceived quality of merchandise is a determining factor of store image for shoppers at speciality stores than at discount s...

Statistics case memo

6 pages (1500 words)

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... Wednesday, February 17, FINRA XYZ Re: Evaluating Bank in New Jersey (Scatter Diagrams & Descriptive Statistics)
INTRODUCTION
Thank you for the opportunity to evaluate the factor, the percentage of the population in each county influencing the number of people in each county per branch bank in New Jersey.
Every Financial institution has a legal and social responsibility to serve all communities and banks are obliged to serve adequately both inner-city and suburban neighborhoods, both poor and wealthy communities. A number of questions arise recently such as “Do New Jersey banks serve minority communities?” In New Jersey, banks have been charged with withdrawing from urban areas with a high percentage...

Statistics assignment

2 pages (500 words)

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... 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, μ = 5) = 0.01369
(b) What is the pro...

Descriptive Statistics Memo

3 pages (750 words)

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... The Dean, Brennan School of Business Sub: Factors influencing full-time MBA enrolment at an 10/06/2009 Introduction This memo has reference to factors influencing full-time enrolment at an institution. We conducted a survey of 25 leading Asia-Pacific schools to determine factors influencing choice of schools, as more and more Asians choose MBA as a route to corporate success. The Indian Institute of Management, Calcutta had the highest enrolments with 463, while Macquarie Graduate School of Management, Sydney had the lowest enrolment with 12. The University of Adelaide had the highest number of students per faculty (19), while the Australian National University had the lowest number of students per...

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 and Sales...

Statistics and Data Interpretation

1 pages (250 words)

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... Statistics and Data Interpretation This work is worth 10% of the module marks Using MS Word, or clear hand-writing, enter your answers to questions in the spaces provided. Insert all tables at the end of the document, making sure they are properly labelled and have appropriate legends. When complete, print the coursework and attach your CYO coversheet to the front (see the module booklet, p8 if you do not know how to do this). Also attach your hand-drawn histogram at the back, stapling everything together. The submission deadline is 2:00 PM, 16th March.
Guidance on the use of Excel can be found on the 4BBY1060 coursework tab.
Part A (cardiovascular data) [total 20 marks]:
The data is provided se...

Statistics

2 pages (500 words)

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... sure to show your work in case partial credit is awarded. To receive full credit, work must be shown if applicable. Section 5 Introduction to Normal Distribution and the Standard Normal Distribution
1. Use the Standard Normal Distribution table to find the indicated area under the standard normal curve.
(1 points per each part)
a. Between z = 0 and z = 1.24
Area to the left of z = 0 is P(z < 0) = 0.5
Area to the left of z = 1.24 is P(z < 1.24) = 0.8925
Therefore,
P(0 < z < 1.24) = P(z < 1.24) – P(z < 0) = 0.8925 – 0.5 = 0.3925
b. To the left of z = 1.68
Area to the left of z = 1.68 is P(z < 0) = 0.9535
c. Between z = -1.52 and z = -0.64
Area to the left of z = -1.52 is P(z < -1.52) = 0.0643
Area t...

Statistics project

6 pages (1500 words)

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... 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) affects the response (sales made). The report provides an introduction (this section), an analysis,...

Business statistics-----Summarizing Data

2 pages (500 words)

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... to the report of AMA, we can conclude the following. From the period of 1980s to 2000 various changes have been noticed in the population structure. During the period population has grown by 5.2%. During the period, population growth rate of men is around 7% and for women it is around 3.3%. Seeing this one can assume that population growth stable and firm can have a good market in future.
During the same period income of people has also grown sharply. Overall impact is that median income increase is around 69%. Median income which was around $18000 in 1980s was increased to $42000 in 1990s and to further $62000 in 2000s.
Given this trend income is likely to increase and people now can afford more l...

Applied Statistics for Finance and Economics

8 pages (2000 words)

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... 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 the analysis of the...

Statistics against women's shelters in residential areas

1 pages (250 words)

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... opposition to homeless/men’s shelter in Orange County residential area) 23 percent of Orange Countys homeless population is mentally ill, 37 percent have chronic substance abuse issues and 30 percent of the states homeless are former prisoners thus it would be safe to have them within a residential area.
Source: Joe Schwartz on Wed, Oct 21, 2009 < http://www.indyweek.com/triangulator/archives/2009/10/21/more-details-in-ifc-mens-shelter-relocation-effort>
The shelters 155 arrests in that time period is similar to the number of arrests outside other downtown locations such as University Square, Qdoba Mexican restaurant, the Bank of America Building, Key Food Mart and Top of the Hill restaurant.
The arr...

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