| Columbus
State Community College Probability and Statistics
for Scientists and Engineers, Stat 2470
Course Description (from the College):
This course introduces probability theory; discrete and continuous random
variables; probability distributions; expected value and variance; the
normal distribution; point estimation; sampling distributions; one and two
sample confidence intervals; one and two sample hypothesis testing; simple
linear regression and correlation; chi-square goodness-of-fit- test;
analysis of variance; and multiple linear regression. Applications to
problems in science, engineering, computer science, and related areas are
explored. STAT 2470 is intended primarily for students needing a
calculus-based course in probability and statistics. Lecture: 3 hours –
Lab: 2 hours Prerequisites: MATH 1152, MATH 1157 or MATH 1172; minimum
grade of “C”
Syllabus -- in Word format
Homeworks
Important Dates
Exam I -- Tuesday, February 18th
key/practice exam
Exam II -- Tuesday, April 1st
key/practice exam
Exam III-- Tuesday, April 29th
key/practice exam
Final Exam -- Tuesday, May 6th at 6 p.m.
key/final
supplement practice
see the syllabus for a more detailed
calendar
Email List
can be gotten through Blackboard
Grade
Calculator -- javascript online grade calculator
Announcements:
Math Adjunct Office # DH 448
My CSCC voicemail # 287-3848
My CSCC email: bmccall2@cscc.edu
Office hours: see syllabus
Homeworks/Suggested
Exercises
Homeworks
Instructions for Completing &
Submitting Labs
Labs
(data files are in .xlsx format)
Lab #0 (orientation lab to Excel, optional)
Lab #1
Data
Lab #2 Data
Lab #3 Data
Lab #4 Data
Lab #5 Data
Lab #6
Lab #7
Lab #8 Data
Lab #9 Data
Lab
#10 Data
Lab #11
Data Data
Lab #12
Lab #13
Data
Calculator Guides:
TI 84 Entering Data
TI 84 Box and Whisker
Plots
TI 84
Frequency Histograms
TI 84 Descriptive
Statistics
TI 84
Descriptive Statistics Grouped Data
TI 84
Discrete Probability Distribution
TI 84 Discrete Probability Distribution (With Graph)
TI 84 Binomial
Experiments
TI 84
Poisson Probability
TI 84 Normal Distribution
TI 84 Determine x or z
TI 84 Confidence Intervals
TI 84 Hypothesis Testing
TI
84 Hypothesis Testing - two proportions
TI 84 Hypothesis Testing - Two Means Independent Samples
TI 84 Hypothesis Testing - Two Means Dependent Samples
TI 84 Contingency Tables
TI 84 Correlation -
LinRegTTest
TI-84 Geometric
Distribution
TI-84 Chi-Squared
Distribution
TI-84 F-Distribution
TI-84 ANOVA
TI-84 LinRegTInterval
Formulas
MLE exercise
Maximum Likelihood Functions (pdf)
Answer
Keys
Quiz #1 (quiz on Greek letters)
Quiz #2 --
key
Quiz #3 --
key
Quiz #4 --
key
Quiz #5 -- key
Quiz #6 -- key
Quiz #7 -- key
Quiz #8 -- key
Quiz #9 -- key
Quiz #10 -- key
Quiz #11 -- key
Quiz #12 -- key
Quiz #13 -- key
Quiz #14 -- key
Quiz #15 -- key
Quiz #16 -- key
Links!
PDF Graph Paper
Bad Graphs (Convention Speeches)
Visualizing Data Badly: 8 Examples
Correlation is not Causation:
orginal article /
handout
Presidents by State
TI-Connect Software
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