## Transcribed Text

Statistical Analysis for Educational Research
I).
researcher interested ir predicting statistics final exam scores from students
statistics anxiety scores, average number of minutes study each week and midterm
exam scores. The following data were collected fron random sample students:
Final Exam:
Statistics Anxirly
No
Scove
Séudu
Score
1. Using SAS duct the analysis and write the predicted equations (in both
standardized unstandardized forms) using all three predictors. Attach your
SAS code andoutputs
2
If we establish alpha level of .05 which are statistically
and which ofstatistically model?
3.
If we establish .01. which are statistically
and
which
4.
State the unstandardized (b) for the
variable
5.
State the standardized regression coefficient (B) for the variable
"Midterm
Exam
6.
What the effect size (f² associated with the variable "Statistics Anxicty Score"
in this equation? Estimate the statistical power ofthe testof significance ftis
variable regression weight Attach your SAS code and outputs.
7.
Whati the sample value R² obtained from these data? Using an alpha level of
05, this value significantly different from zero (provide statistical evidence
from SAS)?
State
the
meaning
value.
8.
Whatis effect size (f² associated with the R: value obtained from this
equation? Estimate statistical power of the test of significance of this R:
Attach your SAS code and outputs.
9. If the sample regression equation applied to the entire population
of
statistics students, what valuco should we expect to observe?
10 Whatis the predicted final examination score for student with statistics
anxiety score of 50, who studies an average of 30 minutes each week and whose
midterm exam score was 65?
11. If we were using backward model- strategy using an alphalevel of 05,
which variable (if any) would be the first be removed from the equation?
II). The researcher was interested determining if the energy of
college students cou from participation ina training program,
attitudes, and gender. The following data were collected from random
sample Ostudents:
Energy
Participation in
Consumer
Gender
Training
AttitudeScale
Scale (ECS)
Program
(CAS2)
Your assignment:
12. Whatis the dependent variable? Is it a categorical or continuous variable? What are
the categorical predictors? Whatis the dummy coding for each categorical predictor?
Whati (are) the continuous predictor(s)?
13. Using SAS toconduct the regression analysis for the ollowing question "Predict
Energy Conservation Scores (ECS) using Participation in a Training Program
a.
Attach your SAS code and outputs.
b. Based or SASoutputs, write the predicted equation for this analysis
dized
c.
Interpret the intercept and the slope in the equation for the categorical
predictor case.
14. Using SAS toconduct the regression analysis for the following question: "Predict
Energy Conservation Scores (ECS) using Consumer Attitude Gender. their
interaction (Note: interac tion significant, take the interaction predictor
out and re-runSAS again).
a. Attach all the SAScode(s). and outputs for this analysis.
b. Based SAS outputs, write the general predicted equation for the analysis
and the specific predicted equation for each group in the analysis
(unstandare dized coefficient).
c. Interpret th two slopes for consumer attitude and gender.
d
Draw the diagraph to represent two specific predicted equations

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