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B409 W11 Sas Collaborative Stats Guide V4.2
- 14. Errors in prediction of the value of Y are distributed in a way that approaches the normal curve.
- 24. As you can see from the raw data, an increase in temperature is strongly and positively correlated to beer sales.
- 25. If we make a simple line plot before we start computing confidence intervals, it will give us a better sense of the information we’re looking at.
- 27. After selecting the first line plot, add High Temp to the horizontal axis (independent variable) and Sales to the Y axis (dependent variable)
- 33. The probability of the mean falling outside of the given confidence limit by chance alone is 5%.
- 34. We expect that if more data on beer sales is collected, the confidence limit is expected to decrease.
- 35. Limits on other variables including month and temperature can be computed by changing the variable analysis accordingly. 123190026670<br />Figure 7.4<br /> AppendixAppendix<br />Team Contributions<br />A simple breakdown by each team, showing how the work was distributed among themselves:<br />Team 1 – Numerical Summaries <br />Definition – Jaswant Seahra, Mriseal Sinha<br />Example– Baljeet Kaur, Jaswant Seahra, Theo Wolski<br />Implementing with SAS – Trystan Macdonald, Surbhi Surbhi<br />Documenting design process– Trystan Macdonald, Theo Wolski<br />Defining SAS results – Trystan Macdonald<br />Conclusion – Trystan Macdonald, Theo Wolski, Jaswant Seahra<br />Compilation – Theo Wolski, Surbhi Surbhi<br />Blueprint – Variation Within The Data <br />Definition – Paramjeet Kaur, Christopher Atkinson<br />Example – Fredric Ayih, Danusha Fernando<br />Designing within SAS – Danusha Fernando , Christopher Atkinson<br />Documenting design process – Gauvtam Bajaaj, Frederic Ayih<br />Defining SAS results – Fredric Ayih , Paramjeet Kaur, Gauvtam Bajaaj<br />Conclusion – Christopher Atkinson , Gauvtam Bajaaj<br />Compilation – Danusha Fernando , Paramjeet Kaur<br />Spice Girls – Confidence Intervals<br />Definition – Everyone<br />Example –Everyone<br />Implementing within SAS – Everyone<br />Documenting design process – Everyone<br />Defining SAS results – Everyone<br />Conclusion – Everyone<br />Compilation – Everyone<br />Sukhoi – Simple Regression<br />Definition – Kalpesh Patel, Ishan Sangrai, Sheleena Jaria<br />Example –Kalpesh Patel, Ishan Sangrai, Sheleena Jaria<br />Implementing within SAS – Amit Bansal, Pranay Sankhe<br />Documenting design process – Amit Bansal, Pranay Sankhe<br />Defining SAS results – Amit Bansal, Pranay Sankhe<br />Conclusion – Amit Bansal, Ishan Sangrai<br />Compilation – Amit Bansal, Ishan Sangrai<br />Fusion – Correlation Coefficient (r)<br />Definition – Everyone<br />Example –Everyone<br />Implementing within SAS – Everyone<br />Documenting design process – Everyone<br />Defining SAS results – Everyone<br />Conclusion – Everyone<br />Compilation – Everyone<br />Gotcha – Test Of Significance<br />Definition – Hasan Can, Michell Escutia, Lily Xu<br />Example – Luz Alvarez<br />Implementing within SAS – Luz Alvarez<br />Documenting design process – Luz Alvarez, Hasan Can, Michell Escutia<br />Defining SAS results – Luz Alvarez, Lily Xu, Sharon Yang<br />Conclusion – Lily Xu, Sharon Yang<br />Compilation – Luz Alvarez, Lily Xu, Sharon Yang, Hasan Can, Michell Escutia<br />Dean Squad – Limits (Confidence / Prediction)<br />Definition – Everyone<br />Example –Everyone<br />Implementing within SAS – Everyone<br />Documenting design process – Everyone<br />Defining SAS results – Everyone<br />Conclusion – Everyone<br />Compilation – Everyone<br />