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. Post in Canvas discussion forums. 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 |
Helpful Links
Download Free Textbook PDF
Our Course - Canvas
TI 83/84 is required. Available at VC bookstore or here
SAMPLE syllabus