Math 1342

Collection, analysis, presentation and interpretation of data, and probability. Analysis includes descriptive statistics, correlation and regression, confidence intervals and hypothesis testing. Use of appropriate technology is recommended.

Intro Video

Topics

Explain the use of data collection and statistics as tools to reach reasonable conclusions.

Recognize, examine and interpret the basic principles of describing and presenting data.

Compute and interpret empirical and theoretical probabilities using the rules of probabilities and combinatorics.

Explain the role of probability in statistics.

Examine, analyze and compare various sampling distributions for both discrete and continuous random variables.

Describe and compute confidence intervals.

Solve linear regression and correlation problems.

Perform hypothesis testing using statistical methods.

Elementary Statistical Methods


Content Supporting Material
1 Hour
2 Hours
3 Hours
1 Hour
1 Hour
3 Hours
2 Hours
1 Hour
30 Minutes
Minimum: 14.5 Hours
Read textbook sections for overview.
Watch the video(s) to see my take.
Copy textbook's examples and 'Try Its'.
Attempt exercises on MattWiley.Org.
Start the WebAssign HW.
Post in Canvas discussion forums.
Finish HW, revise, & take quizzes.
Spend time revising missed concepts.
Schedule Office Hours as needed.
Move on to the next section.
Module A
(First Principles)
Data & Some Good Words
Section 1.1 Intro & Definitions
Section 1.4 Ethics & Design
1.1 - Work examples, 'Try Its', & p.49 #1-5 odd
1.2 - Work examples, 'Try Its', & p.49 #7-37 odd
1.3 - Work examples, 'Try Its', & p.52 #39
1.4 - Work examples, 'Try Its', & p.52 #41
Module B
(Charts & Graphs)
Distributions & Histograms
Other Charts & Exploratory Data Analysis
2.1 - Work examples, 'Try Its', & p.123 #1-11 odd
2.2 - Work examples, 'Try Its', & p.125 #13-21 odd
2.3 - Work examples, 'Try Its', & p.128 #23-39 odd
Module C
(Metrics of Center)
Central Tendency
Variance & Standard Deviation
Box & Whisker Plots
TI 83/84 Calculator Histograms/1 Var Stats/Box Plots
2.4 - Work examples, 'Try Its', & p.129 #40 & 41
2.5 - Work examples, 'Try Its', & p.129 #43-47 odd
2.6 - Work examples, 'Try Its', & p.130 #49-67odd
2.7 - Work examples, 'Try Its', & p.134 #69-73 odd
Module D
(Intro to Probability)
Introduction to Probability
Counting & Trees
3.1 - Work examples, 'Try Its', & p.199 #1-39 odd
3.2 - Work examples, 'Try Its', & p.202 #41 & 43
3.3 - Work examples, 'Try Its', & p.202 #45-53 odd
3.4 - Work examples, 'Try Its', & p.202 #55 & 57
3.5 - Work examples, 'Try Its', & p.203 #58
Module E
(Distributions)
Probability Distributions
Binomial Distribution
Binomial Distribution Chart
4.1 - Work examples, 'Try Its', & p.262 #1-17 odd
4.2 - Work examples, 'Try Its', & p.263 #19-35 odd
4.3 - Work examples, 'Try Its', & p.266 #37-43 odd
(needs videos)
4.4 - Work examples, 'Try Its', & p.266 #45-49 odd
4.5 - Work examples, 'Try Its', & p.267 #51-55 odd
4.6 - Work examples, 'Try Its', & p.267 #57-67 odd
5.1 - Work examples, 'Try Its', & p.319 #1-15 odd
5.2 - Work examples, 'Try Its', & p.321 #17-35 & 41 odd
5.3 - Work examples, 'Try Its', & p.324 #47-71 odd
Module F
(Normal Distribution)
Normal Curve & Empirical Rule
Intro to Z-scores
Normal Area
Central Limit Theorem
Binomial Distribution
6.1 - Work examples, 'Try Its', & p.357 #1-41 odd
6.2 - Work examples, 'Try Its', & p.359 #43-59 odd
7.1 - Work examples, 'Try Its', & p.396 #1-5 odd
7.2 - Work examples, 'Try Its', & p.397 #7-35 odd
7.3 - Work examples, 'Try Its', & p.399 #37-59 odd
Module G
(Confidence Intervals)
Confidence Interval: Sigma Known
Confidence Interval: Sigma Unknown
Confidence Interval: Binomial
Confidence Interval: Independent Pairs
8.1 - Work examples, 'Try Its', & p.444 #1-37 odd
8.2 - Work examples, 'Try Its', & p.445 #39-61 odd
8.3 - Work examples, 'Try Its', & p.447 #63-93 odd
Module H
(Hypothesis Testing)
Hypothesis Tests: Sigma Known
Hypothesis Tests: Sigma Unknown
Hypothesis Tests: Binomial
Hypothesis Tests: Two Samples, Independent
Hypothesis Tests: Pairwise Dependent
9.1 - Work examples, 'Try Its', & p.499 #1-9 odd
9.2 - Work examples, 'Try Its', & p.500 #11-19 odd
9.3 - Work examples, 'Try Its', & p.500 #21-31 odd
9.4 - Work examples, 'Try Its', & p.501 #33-47 odd
9.5 - Work examples, 'Try Its', & p.502 #49-61 odd
10.1 - Work examples, 'Try Its', & p.552 #1-29 odd
10.2 - Work examples, 'Try Its', & p.554 #31-45 odd
10.3 - Work examples, 'Try Its', & p.555 #47-61 odd
10.4 - Work examples, 'Try Its', & p.556 #63-77 odd
Module I
(Linear Regression)
Introduction to Linear Regression
Bivariate, Linear Regression in Excel 2013
Multivariate, Linear Regression in Excel 2013
12.1 - Work examples, 'Try Its', & p.665 #1-15 odd
12.2 - Work examples, 'Try Its', & p.666 #17-19 odd
12.3 - Work examples, 'Try Its', & p.668 #21-27 odd
12.4 - Work examples, 'Try Its', & p.668 #29
12.5 - Work examples, 'Try Its', & p.669 #31-49 odd
12.6 - Work examples, 'Try Its', & p.671 #51-55 odd
Module J
(Optional)
ANOVA
13 – Work examples, ‘Try Its’, & odd Practice exercises.
Module K
(Optional)
 Placeholder Text

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HW/Quizzes - WebAssign/Cengage

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TI 83/84 is required. Available at VC bookstore or here

SAMPLE syllabus

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