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B409 W11 Sas Collaborative Stats Guide V4.2
1.
2.
Likelihood of certain
candidates to be elected
3.
Reactions to certain
new products
4.
Survey response rate
reliability
5.
6.
7.
State the null
hypothesis
8.
Gather the data.
9.
Compute the regression
equation.
10.
Examine tests of
statistical significant and measures of association.
11.
Relate statistical findings
to the hypothesis. Accept or reject the null hypothesis.
12.
13.
The relationship between
the independent (X) and the dependent (Y) variables is linear.
14.
Errors in prediction
of the value of Y are distributed in a way that approaches the normal curve.
15.
Errors in prediction
of the value of Y are all independent of one another.
16.
17.
Figure 5.5 –
Modify correlation path
18.
Correlations window will
pop-up & drag Sex under Group analysis by as shown in figure 5.6
19.
Figure 5.6 –
Assigning variables for group analysis
20.
Click on Resultscheck
the option Create a scatter plot for each correlation pair
21.
22.
The data shows
trends of beer sales and the relationship
23.
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.
26.
Click TaskGraphLine Plot
27.
After selecting the
first line plot, add High Temp to the horizontal axis (independent variable) and Sales to the Y axis (dependent variable)
28.
Figure 7.1
29.
30.
To computer confidence
limits for month, click TaskDescribeDistribution Analysis
31.
To compute confidence
limits on sales, drag sales to the task role pane under variable analysis
32.
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 />
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