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Class Assignments 3910
Assignment 1
- in class type in the programs in Ch1 on pages 3 and 7
- Read Ch1 do exercises 1,5,6
- in class type in the programs in Ch2 on pages 23 43
- Read Ch2 do exercises 3,4,6
Assignment 2
- Read Ch3 do exercise 1,2
- in class type in the programs in Ch3 on pages 64 and 67-68
Due next Tuesday 1/18/2000
- All problems assigned above.
- Here is an example of what a solution to each problem should look
like. Example
Assignment 3
Assignment 4
- Read Ch5 do exercises 1,3,5,6
- in class type in the programs in Ch5 on pages 116
Due next Tuesday 1/25/2000
- All problems above from Assignments 3 and 4
Assignment 5
- Read Ch 6 do exercises 1,2,3,4
- type in class handout
Assignment 6
- Read Ch7 do exercise 1
- in class type in the programs on pages 153,156
Due next Tuesday 2/1/2000
- All problems from Assignments 5 and 6
Assignment 7
- Read Ch7 do exercise 3,4,6ab
Due next Tuesday 2/8/2000
- All problems from Assignment 7
- Type in the program on page 163,164
Assignment 8
- Type in program on page 227, 232
- Read Ch 9 and do exercises 1, 3
Due next Tuesday 2/15/2000
- All problems from Assignment 8
Project One:
The method of analysis you will be asked to perform is linear regression.
The data set needs to have a dependent variable that is quantitative and at
least two independent variables that are quantitative.
Once you find a data set that you are interested in you need to get the
approval of the instructor. Some good web sites for finding data sets
follow:
The analyses that you should run are:
- descriptive statistics on each variable.
- correlations between the dependent variable and each of the independent
variables.
- plot the dependent variable (y) versus each of the independent variables
(x).
- run a regression with all of your variables included in the model.
- select the most significant variables for a final model.
Finally, you should write a report that includes a Title, an Introduction
that describes where you got your data and what variables are involved, an Analysis
section that describes and presents the relevant descriptive statistics,
correlations, plots, and results of the regression analysis, and finally a Conclusions
section summarizes you findings.
Assignment 9
- Introduction to S-plus programming, graphics and gui.
- vectors, matricies, data.frames, and lists
- Sec 4.3 attach(geyser) help(geyser)
- Sec 4.3 plot(geyser$waiting, geyser$duration)
- Sec 5.4 type in pp.62-63 plots
- Sec 5.5 type in p.66 sin
- Sec 5.7 type in p.74 geyser plot
Assignment 10
- Find a data set in the examples in Splus related to a topic of interest to
you.
- Run the descriptive statistics and some plots.
- Create a short report describing the data set you looked at and include
the descriptive statistics and at least one plot.
Due 2/29/2000: Assignments 9 and 10.
Assignment 11
- Run the CLT S-Plus program. Change the mu and sigma values and print
out the two pictures.
- Run the Hypothesis Testing program can compare the estimated significance
level for sampling from the normal to the exponential.
Due 3/9/2000
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