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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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Last updated: 2013 January 12th