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SU Confirmed or Refuted Your Testable Hypothesis Discussion

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Turning Data into Information

Having framed the problem/opportunity, formulated a testable hypothesis and gathered and organized key data, you are ready to continue your analysis by developing a data story that can be shared with others. To get started, download and review the “Types of Data Analysis” guide from our Week 4 readings, above.

Apply one or more of the following analytical tools to your dataset:

Correlation

Regression

Grouping and Visualization

Variance

Standard Deviation

Explain whether your analysis of the data confirmed or refuted your testable hypothesis.

Hypothesis-

  1. Most people are not interested in becoming a contractor for a call center because the

Thy are not employees with benefits.

The pay is not great

They must buy their own work equipment

The analytical tool I would like to use is correlation analysis. Correlation Analysis is used to measure the strength or the weakness of the linear relationship between two variables. Meaning a high correlation points to a strong relationship and vise versa. The correlation just identifies the strength or the weakness between variables, but it does not make a definite decision. So, I will also use Regression, because regression analysis helps one to find trends in the data. Regression analysis is good when one is trying to find the relationship between one dependent variable and one independent variable.