STA205 - Introduction to Statistical Methods
Course Materials:
Schedule
Homework packets
Daily Agendas/Summaries
Statistics and the Normal Distribution
Day 01 (1/9): Welcome!
Day 02: The Normal Distribution
Day 03: The Normal Distribution
Day 04: Normal Tables backwards, and Packet 2
Day 05: Summarizing Categorical Data
Day 06: Sampling Distribution of the Sample Proportion
Day 07: More Sampling Distribution of the Sample Proportion
Day 08: Hypothesis Test for Proportions
Day 09: Hypothesis Test for Proportions
Day 10: Confidence Interval for Proportions
Day 11: Sample-Size for Given Confidence for Proportions
Day 12: Review, Sample-Size, Chi-Square?
Statistics and the Chi-square Distribution
Day 12: Review, Sample-Size, Chi-Square?
Day 13: Exam 1
Day 14: Chi-Square Test
Day 15: Chi-Square (finish); Summarizing quantitative data
Quantitative Data
Day 15: Chi-Square (finish); Summarizing quantitative data
Day 16: Summarizing quantitative data
Day 17: Sampling Distribution of the sample mean
Day 18: Sampling Distribution of the sample mean
Day 19: One-Sample Hypothesis Test for the Population Mean
Day 20: One-Sample Hypothesis Test for the Population Mean
Day 21: Confidence interval for the Population Mean
Day 22: Confidence interval for the Population Mean
Day 23: Exam 2
(4/5)
Day 24: Packet 11: Two Sample Inferences for the Mean
Day 25: Packet 11: Two Sample Inferences for the Mean
Day 26: Packet 12: ANOVA
Day 27: Packet 12: ANOVA
Day 28: Packet 13: Regression
Day 29: Packet 13: Regression; review!
Math/Stat lab (MEP 457)
M-R from 9-3
F from 9-12
Syllabus
StatCrunch
IMath
(course 270)
Here's
Prof. Buckley's formula sheet
, which you'll receive for the exams.
Here's another version of that:
Important formulas
Z-Table
T-Table
NKU's On-line Statistics help
When it's time for course evaluations, these are to be done on-line. Please visit the site
http://eval.nku.edu/
to do so.
Some older, but possibly still useful, STA205 resources:
NKU STA 205 Info and Example worked-out problems
Other 205 resources to download
Intro to StatCrunch
Links:
Prof. Buckley's videos
Prof. Buckley's data sets for the course
Useful Datasets
to use within StatCrunch
T-distribution and hypothesis testing
Demos for probability and statistics
The Gallup (polling) Organization
On-line statistics
Useful Stats Applets
Notes:
Feel free to
email me (longa@nku.edu)
with your questions.
Taking tests in my classes
Suggestions for the NKU Math/CS student
One-stop shopping for scholarships at NKU
Website maintained by
Andy Long (longa@nku.edu)
. Comments appreciated.