# STATS 101 Introduction To Statistics

## Question:

1) An introduction to the problem: what question are you trying to answer about the variable, and an investigation of whether you believe the data is random and representative. Briefly describe the positives and any potential shortcomings in the data collection.
2) Descriptive statistics and graphs to guide an initial impression. Recall what type of descriptive statistics should be used for this type of variable and what graph is appropriate. From this, you should state an initial impression about whether you believe that the expected answer to the first question is yes or no, based on the graphs and numerical summaries. Note that this is not quite the same as what a conclusion in a hypothesis test addresses.
3) The actual inference test, listing all appropriate steps as outlined in the course slides, including checking all conditions and documenting all steps of the hypothesis test (you don’t need to re-check conditions you’ve addressed in a previous part of the report). This should be in paragraph form, not in the list form that appears in the slides.
4) A conclusion that ties the whole process together. How does your inferential conclusion tie together with your initial impression? Provide a brief closing statement that is readable by a general audience who may not know as much inference as you do.

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