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        Psychology 406

        Computer Assignment \#2


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Use your old data set from Computer Assignment \#1 in (a), (b), and
(c):

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a) Begin by listing the contents of your SYSTAT file for the benefit
of the grader.

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b) From the STATISTICS menu, use the T-TEST command to carry out two
paired t-tests: for the pennies versus dimes within room 1 and for
pennies versus dimes within room 2 (thus, treat pennies and dimes as
if matched by case).

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c) From the STATISTICS menu, use the T-TEST command to carry out two
two-independent sample t-tests: use pennies for room 1 versus room 2
and dimes for room 1 versus room 2 (thus, rooms are treated as
independent samples).

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The data to be used in (d) through (h) are on 170 entering freshman
at a large public university, and is available from the web site:

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http://cda.psych.uiuc.edu/psych\_406\_material/P406data.syd

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The data set involves five variables: self-reported SAT verbal score
(SATV), self-reported SAT math score (SATM), actual SAT verbal score
(RSATV), sex (SEX), and high school grade point average (HSGPA). The
three SAT scores are given as two digits (the usual 0 could be added
at the end of each), sex involves a ``one'' sex and a ``zero'' sex,
and HSGPA is given as one of nine levels (from 0 to 8).  You will
need to define for yourself a variable describing the difference
between the actual SAT verbal score and the reported SAT verbal
score (SATVDIFF).

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d) Using the STATISTICS menu, obtain all the usual descriptive
statistics for your data set --- include SATVDIFF.

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e) Using the CORRELATIONS menu, obtain the simple Pearson
product-moment correlations between all the variables (including
SATVDIFF).

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f) Using the REGRESSION menu, carry out \emph{simple} regression
analyses between SATVDIFF and each of the variables SATM, SEX, and
HSGPA.  Interpret.

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g) Carry out a multiple regression analysis (using REGRESSION)
predicting SATVDIFF from SATM, SEX, and HSGPA.  Save the residuals
and list these along with leverages, studentized residuals, Cook's D
values, and the standard error of the predicted values.  Interpret.

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h) Carry out a stepwise regression (using REGRESSION) in predicting
SATVDIFF from SATM, SEX, and HSGPA, and interpret.













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