Nike Data Analysis

Table of Contents

1.0 INTRODUCTION 2

2.0 CHAPTER 15 3

3.0 CHAPTER 17 12

4.0 CONCLUSION 26

5.0 APPENDICES 28

1.0 INTRODUCTION

The purpose of this report is to analyse the data collected from Nike's respondents and provide meaningful interpretation of the data. Hypothesis testing will also be tested in approriate analysis to make decisions using data.

A total of 6 types of analysis will be used in the report which are:

1. Frequency Distribution Analysis: To obtain a count of number of responses associated with different values of one variable and to express the values in percentage terms.

2. Crosstabulation Analysis: To help analyse relationships among and between variables.

3. T-Tests

• One-Sample T-Test: To compare the mean score of a sample to a known value.

• Independent sample T-Test: To compare the mean scores of two different groups of people or conditions

• Paired sample T-Test: To compare the mean scores for the same group of people on two different occasions.

4. Correlation Analysis: To explore the strength of the relationship between two continuous variables.

5. Bivariate Regression Analysis: To analyse associative relationships between a single metric dependent variable and a single metric independent variable.

6. Multiple Regression Analysis: To analyse associative relationships between a single dependent variable and two or more independent variables.

2.0 CHAPTER 15

Part A – Frequency Distribution Analysis

Awareness for Nike – Based on Table 1a and 1b

Observation:

• The skewness value results a negative value of -0.253, indicates numerous positive response with their awareness for Nike therefore, the distribution is skewed to the left.

• The kurtosis value results a negative value of -1.092 therefore, indicates a flat and light tailed distribution.

• The mode value is 6, indicates that most respondents chose