# Statistics - Final Project

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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…show more content…
H1: There is a difference in yarn production when it comes to the machines between the different cities. The variables “City” and “Machine” are both significant since their p-value is smaller than alpha. There is a difference. City has an impact on the amount of produced yarn, and the same goes for machine. We can reject H0 in these cases. But the interaction between those is not significant, because the p-value is 0,37. So we can not reject H0. There is no difference. 3.4 Question 5 |One-Sample Test | | |Test Value = 45 | | |