Statistics - Final Project
Yarn Production
Statistics - Final Project
Table of contents
1.0 Introduction 3 1.1 The aim of the study 3
2.0 Methodology 3 2.1 Correlation 4 2.2 Independent Samples Test 4 2.3 Two Way Anova 4 2.4 One Sample T-Test 4 2.5 Regression 5 2.6 Histogram 5
3.0 Data Analysis 5 3.1 Question 2 5 3.2 Question 3 6 3.3 Question 4 7 3.4 Question 5 8 3.5 Question 6 8 3.6 Question 7 10
4.0 Conclusions 11
5.0 References 12
1.0 Introduction
A company with factories located in New York and Michigan produce yarn, using two different types of machines; JC980 and VH80. Each factory uses only one machine type. The sample size is at 1 391 factories.
The data are collected from different days and from different factories from both cities. The variables are as follows.
• City: The city where the factory is located (New York = 1, Michigan = 0).
• Machine: Type of the machine used in the factory to produce yarn (JC980 = 0, VH80 = 1).
• Worker: Number of workers in the factory.
• Product: Amount of the yarn production of the factory (Kg).
• Resource: Amount of consumed resources to produce the yarn (Kg).
• Detective: Amount of detective (damaged) production (Kg).
• Cost: General cost (USD $).
• Sale: Sales amount (USD $).
1.1 The aim of the study
The purpose of the study is to analyze the data. I.e. draw conclusions about the variables and find out how to deal with the problems.
One of the problems I’m going to look at is whether the machine types affect the amount of damaged yarn. Another is whether the machine type, the city or the interaction between the city and the machine type used in the factory affect the amount of produced yarn.
2.0 Methodology
To analyze the data I’ve been given, I have to use different methods and tests through the SPSS program. These following tests will be used throughout the assignment;
2.1 Correlation
A statistic that quantifies the linear relation between two
Statistics - Final Project
Table of contents
1.0 Introduction 3 1.1 The aim of the study 3
2.0 Methodology 3 2.1 Correlation 4 2.2 Independent Samples Test 4 2.3 Two Way Anova 4 2.4 One Sample T-Test 4 2.5 Regression 5 2.6 Histogram 5
3.0 Data Analysis 5 3.1 Question 2 5 3.2 Question 3 6 3.3 Question 4 7 3.4 Question 5 8 3.5 Question 6 8 3.6 Question 7 10
4.0 Conclusions 11
5.0 References 12
1.0 Introduction
A company with factories located in New York and Michigan produce yarn, using two different types of machines; JC980 and VH80. Each factory uses only one machine type. The sample size is at 1 391 factories.
The data are collected from different days and from different factories from both cities. The variables are as follows.
• City: The city where the factory is located (New York = 1, Michigan = 0).
• Machine: Type of the machine used in the factory to produce yarn (JC980 = 0, VH80 = 1).
• Worker: Number of workers in the factory.
• Product: Amount of the yarn production of the factory (Kg).
• Resource: Amount of consumed resources to produce the yarn (Kg).
• Detective: Amount of detective (damaged) production (Kg).
• Cost: General cost (USD $).
• Sale: Sales amount (USD $).
1.1 The aim of the study
The purpose of the study is to analyze the data. I.e. draw conclusions about the variables and find out how to deal with the problems.
One of the problems I’m going to look at is whether the machine types affect the amount of damaged yarn. Another is whether the machine type, the city or the interaction between the city and the machine type used in the factory affect the amount of produced yarn.
2.0 Methodology
To analyze the data I’ve been given, I have to use different methods and tests through the SPSS program. These following tests will be used throughout the assignment;
2.1 Correlation
A statistic that quantifies the linear relation between two
References: Literature Nolan, S, A., Heinzen, T, E. 2008 Statistic For The Behavioural Sciences, Worth Publishers, New York