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1. Why use statistics in business research, and what is its role?
2. How can the concept of variance and standard deviation be applied to solving a real world business-related problem? Include a specific example from business. Explain.
3. When would you use descriptive statistics over inferential statistics? Give a specific scenario and explain your rationale.
4. Why is using Baye's theorem (conditional probabilities) important to help answer business-related questions? What does this theorem allow you to do?
Write a project proposal on relationship between speed, flow and geometry on single carriageway roads.
Compute the log-odds ratio for each group in Logistic regression model.
Foundations of Logistic Regression
The tubes produced by a machine are defective. If six tubes are inspected at random , determine the probability that.
o This is a linear model. If your model needs a different engine, then you need to rethink your approach to the model. Remember, there are no IF, Max, or MIN statements in linear models.
Plan the analysis
State the hypotheses that you are going to test.
modelise as a markov chain
What are the degrees of freedom for regression
Construct a frequency distribution for Payment method
Perform simple linear regression
Determining the root causes
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