Now that you have run descriptive statistics with your data, it is time to create a hypothesis and test your hypothesis. This part of the Statistics Project will take you through the process of creating and testing your hypothesis through statistical methods, using Microsoft® Excel®. Creating hypotheses provides you the opportunity to think like a researcher and help you understand and critique research articles you read. Create a hypothesis for the Happiness and Engagement Dataset from Part 1 of the Statistics Project. Your hypothesis can be anything based on the variables you have in your dataset. One example: Women report higher happiness ratings at work than men. Create a null hypothesis. (Example: The happiness ratings of women are equal to the happiness ratings of men.)State your null and alternate hypotheses. Remember to state these using words, symbols and the proper equations.
Identify and justify which type of statistical analysis will be appropriate for this data.