Menu:
Office Hours M 12:20-1:20, W 7:30-8:20am, Th 8:00-8:50, F 3:30-4:20 in
202
Course resources can be found at remote.denison.edu
Tutoring: Sunday and Tuesday 9-11pm, Olin 217
Applets from Rossman, Applets from Statlab, Applets from Online Stat Book
R Resources: R for Windows, R for Mac, Quick-R, and R Reference Card. R FAQ, Wikibook and list of free books. CodeSchool, Coursera, DataCamp
Resources for learning SQL: SQLzoo, SQLcourse, SQLtutor
Course resources can be found at remote.denison.edu
Tutoring: Sunday and Tuesday 9-11pm, Olin 217
Applets from Rossman, Applets from Statlab, Applets from Online Stat Book
R Resources: R for Windows, R for Mac, Quick-R, and R Reference Card. R FAQ, Wikibook and list of free books. CodeSchool, Coursera, DataCamp
Resources for learning SQL: SQLzoo, SQLcourse, SQLtutor
| Day |
Date |
Topic |
Reading Due |
Work Due |
|
| 1 |
Th |
Aug 27 |
Statistical Thinking, First Day Survey |
||
| F |
Aug 28 | Data Visualization. |
Syllabus,
1.1-1.3 |
||
| 2 |
M |
Aug 31 | Random Variables and
Visualization Install R then RStudio |
1.4-1.5 Dotplot Applet Histogram Applet |
|
| W |
Sep 2 |
Numerical Measurements of
Centrality |
1.6-1.7 Mean/Med Applet Hist bin sizes applet |
||
| Th |
Sep 3 |
Introduction
to R, Data
Visualization |
Spend 30 min on DataCamp Applet std dev |
||
| F |
Sep 4 |
Statistical Control, Simpson's
Paradox |
1.8.2, 1.8.3, 1.9 Group Data Applet |
HW1 |
|
| 3 |
M |
Sep 7 |
The Role of Probability | 1.10, 2.1 Rand Num Applet |
|
| W |
Sep 9 |
Probability and Expectation | 2.2, 2.3, Video:
Intro Stats in DataCamp |
||
| Th |
Sep 10 |
Data
in R |
Spend 40 min on DataCamp | ||
| F |
Sep 11 |
Axioms of Probability, Counting | 2.4, 2.5 Buffon Applet |
HW2 |
|
| 4 |
M |
Sep 14 |
Conditional Probability, Independence | 2.6 Simulation Applet Sampling App 2 |
|
| W |
Sep 16 |
Probability Distributions, Law
of Large Numbers |
3.1, 3.2 Sampling Distrib Applet |
Lab2 Quiz 1 |
|
| Th |
Sep 17 |
Simulation
in R Bayes Reading |
Lab3 Bayes Applet |
||
| F |
Sep 18 |
Expectation, Variance |
3.3, 3.4.1 |
||
| 5 |
M |
Sep 21 |
Expectation, Variance for continuous |
3.4.2, 3.4.3 |
HW3 Quiz 2 |
| W |
Sep 23 |
Binomial, Geometric, Hypergeometric | Binom
Applet Binom Applet 2 |
||
| Th |
Sep 24 |
Exam Review |
Quiz 3 | ||
| F |
Sep 25 |
Exam 1 |
|||
| 6 |
M |
Sep 28 |
Multinomial, Poisson, Exponential |
3.5 Vectors in R Matrices in R |
Lab3 |
| W |
Sep 30 |
Normal Video |
4.1, 4.2 Normal Applet |
||
| Th |
Oct 1 | Functions,
Conditionals, and Loops in R |
Lab4 Normal Calculator NormalBinomApp |
||
| F |
Oct 2 |
Joint Distributions |
4.3 |
HW4 |
|
| 7 |
M |
Oct 5 |
Joint and Conditional | 4.4 |
|
| W |
Oct 6 |
Mean, Variance, Regression Function | 4.5 |
Lab4a |
|
| Th |
Oct 7 |
Lab 5: Distributions |
Lab5:
Sorry, not in Datacamp after all |
||
| F |
Oct 8 |
Covariance, Correlation | 5.1 Correlation Applet |
||
| 8 |
M |
Oct 12 |
Variance, Covariance |
4.6,Video&DataCamp on Correlation |
HW5 |
| W |
Oct 14 |
Regression Applet |
Final Project Example Data | Lab4b |
|
| Th |
Oct 15 |
No Class |
|||
| F |
Oct 16 |
No Class |
|||
| 9 |
M |
Oct 19 |
Chebyshev, Convolution | 5.2, 5.3 Regression Applet |
|
| W |
Oct 21 |
Central Limit Theorem MidSemester Evals |
5.4 Normal Approx to Binom Applet |
Lab5 |
|
| Th |
Oct 22 |
Lab
6: Linear Regression |
Spend 30 min on Lab6
in DataCamp |
||
| F |
Oct 23 |
Linear Regression via Linear Algebra | Applet
Covariance Applet LinRegHyp |
||
| 10 |
M |
Oct 26 |
Estimation & Bias, Least Squares Regression applet |
6.1, 6.2 Reg Error Applet Samp Dist Applet |
Final
Project Proposal |
| W |
Oct 28 |
Standard Error and Sampling
Distrib |
Video on SE Video on Sampling |
Quiz 4 |
|
| Th |
Oct 29 |
Review day Exam 2 |
|||
| F |
Oct 30 |
Fitting Models to Data | 6.3 | ||
| 11 |
M |
Nov 2 |
Fitting Models | 6.3,6.4, MSE
Applet |
HW6 |
| W |
Nov 4 |
Confidence Intervals Video |
7.1-7.3.1 Applet 1 and 2 |
||
| Th |
Nov 5 |
Lab7: CIs | DataCamp 1
and 2
40 min |
Lab6 |
|
| F |
Nov 6 |
Confidence Intervals Video |
7.3,7.4, AppNorm AppProportionCI App t confidence |
||
| 12 |
M |
Nov 9 |
Prediction Intervals |
7.5, AppCI,
AppPropCI |
|
| W |
Nov 11 |
Hypothesis Testing Video |
8.1, 8.2 Inference App |
HW7 |
|
| Th |
Nov 12 |
Lab8:
Hyp Testing p-value video |
DataCamp
- 50 min What is a p-value? |
|
|
| F |
Nov 13 |
Regression
to the Mean, p-values
and power |
8.3 Chi Square Applet |
Lab7 |
|
| 13 |
M |
Nov 16 |
F-test,Chi-Squared, Type I &
II errors Meta Video |
8.3, 8.4 Power Applet Error applet |
|
| W |
Nov 18 |
Multiple Linear Regression |
12.1, 12.2, 12.3 |
Lab8 |
|
| Th |
Nov 19 |
Lab9:
Multiple Linear Regression |
DataCamp-30
min 1.8.1, 1.8.4, 11.1 Video1 |
||
| F |
Nov 20 |
Two-Sample Hypothesis Tests Video2 on t-tests |
9.1, 9.2, 9.5 Group Diff App App Match Pairs |
HW8 |
|
| 14 |
M-F |
Nov 23-27 |
NO CLASS |
THANKSGIVING BREAK |
|
| 15 |
M |
Nov 30 |
ANOVA Video3 Extra Reading |
9.4.2, 10.1, 10.2.1 App Comp Groups 2 Way Table App |
|
| W |
Dec 2 |
ANOVA Factors in R |
10.4.1-2, 11.2 |
Lab9 |
|
| Th |
Dec 3 |
Lab10,
ANOVA
App Review Day |
DataCamp
- spend 50 minutes |
||
| F |
Dec 4 |
Exam 3 |
|||
| 16 |
M |
Dec 7 |
Final Projects | Excel Pivot Tables
& why, vlookup, VBA & editor & coding |
HW9 |
| W |
Dec 9 | Final Projects Note: lowest HW and lab are dropped |
Why most published research findings are
false |
||
| Th |
Dec 10 |
Final Projects Course Evaluations |
Lab10 | ||
| F |
Dec 11 |
Course Wrap-Up + Review Day |
HW10 |
||
| F |
Dec 18 |
Final Exam, 2-4pm | Final Paper |