Conduct a?t?test using the data provided in the Microsoft Excel spreadsheet from the Riverbend City multimedia. Describe you
Conduct a t test using the data provided in the Microsoft Excel spreadsheet from the Riverbend City multimedia. Describe your analysis and present the results
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Selecting a Data Analysis Method
INTRODUCTION
In Unit 2, you learned about different types of data. At some point, in order to conduct an analysis, the data will have to be classified as qualitative (non-numerical) or quantitative (numerical). Sometimes, you have to convert data so that it can be analyzed. For example, you might take satisfaction ratings (such as, “Loved It,” “Liked It,” “Did Not Like or Dislike It,” “Disliked It,” and “Hated It”) and convert the ratings to numerical values (“Loved It” = 5, “Liked It” = 4, “Did Not Like or Dislike It” = 3, “Disliked It” = 2, “Hated It” = 1) for statistical analysis. For quantitative data, you also have to identify it as continuous (data that cannot be classified into distinct groups, such as scores ranging from 0–100) to categorical (data that can be divided into groups, such as homeless or not homeless).
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[u06s1] Unit 6 Study 1
Studies
Readings
Use the Capella library to read the following:
- EMC Education Services (Eds.). (2015). Data science and big data analytics: Discovering, analyzing, visualizing and presenting data. Indianapolis, IN: Wiley.
- From Chapter 3, "Review of Basic Data Analytic Methods Using R," read:
- Section 3.3.1, "Hypothesis Testing," pages 102–103.
- Section 3.3.2, "Difference of Means," pages 104–107.
- Section 3.3.3, "Wilcoxon Rank-Sum Test," pages 108–109.
- Section 3.3.6, "ANOVA," pages 110–114.
- Chapter 6, "Advanced Analytical Theory and Methods: Regression," pages 161–190.
- From Chapter 3, "Review of Basic Data Analytic Methods Using R," read:
Learning Components
This activity will help you achieve the following learning components:
- Describe content and statistical analyses.
- Describe different types of statistical analyses.
- Explain when to conduct a specific type of analysis.
- Explain when to conduct a specific type of statistical analysis.
- EMC Education Services (Eds.). (2015). Data science and big data analytics: Discovering, analyzing, visualizing and presenting data. Indianapolis, IN: Wiley.
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[u06s2] Unit 6 Study 2
Assignment Preparation
Continue working with your group on developing the analyses you will use for next week’s assignment. Remember that, although you will work with the group to develop the analyses, each group member will submit his or her own assignment.
Learning Components
This activity will help you achieve the following learning components:
- Participate with a group.
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