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Moses Brown School
"A person who never made a mistake, never tried anything new." -Albert Einstein
inference for regression (4/15)
Chi Square Homogeneity (4/11)
Chi Square intro
13.2 2 sample proportions
13.1 2 Sample means
chapter 12 review game
12.2 Hypothesis Tests for Proportions
12.1 Hypothesis testing for means (in practice) (3/6/2014)
chapter 11 review game (3/4/2014)
11.4 type I and type II errors
11.3 Significance Testing Wisdom (2/28/2014)
11.2 Significance Testing (2/27/2014)
11.1 Intro to significance testing (2/25/2014)
10.3 - Confidence Intervals for Proportions (2/19)
10.2 Confidence intervals for means (paired t-procedure) (2/18)
10.2 confidence intervals for means
10.1 Confidence Intervals: the Basics
chapter 9 review Day
9.3 Sample Means and the CLT (2/6/2014)
9.2 Sample Proportions (2/3/2014)
9.1 Sampling Distribution (2/2/2014)
Review Day Powerpoint with solutions (1/10/2014)
8.2 Part 2: Geometric Distributions again and Problem set (1/9/2014)
8.2 Part 1: Geometric Distributions (1/8/2014)
8.1 Part 2: binomial probabilities and normal approximations (1/7/2014)
8.1 The Binomial Setting and Distribution (1/6/2014)
Review Game for the Chapt 6 and 7 test (12/18)
7.2 again - Rules for means and variances (12/17)
7.2 Expected Value, gambler's fallacy, and the law of large numbers (12/16)
7.1 Discrete and continuous probability (12/13)
chapter 6 review (12/12)
More Bayes and the Extended Multiplication Rule, prob trees (12/10)
Probability - Independence, conditional probability and Bayes (12/9)
Probability Basics (12/6/2013)
Simulation (Section 6.1) (12/5/2013)
experimental design (11/26)
Intro to Experiments (11/25)
biases in samples (11/22)
Intro to Sampling Methods: designing samples (11/21)
Cumulative review day (11/19)
Chapter 4 Review (11/15)
Section 4.3: Determining Causation (11/14)
Section 4.2: Relationships between categorical variables (11/13)
Section 4.1 Transformations to AchIEve Linearity (11/12)
Review for the Chapter 3 Test (11/4)
Lurking Variables (10/31)
regression Wisdom (10/30)
R-Squared (10/29)
Residuals (10/25)
Least Squares Regression (10/24)
Correlation r (10/22)
Scatter Plots and Regressions (10/21)
Review for the Chapter 2 test (10/11)
Normal Probability Plots-Assessing Normality (10/10)
Quiz and the Normal Distribution (10/8)
Density curves and the normal distribution (10/7)
Z-Scores (10/6)
Review Day Questions (Minitab Day) (10/1)
Standard Deviation and Variance
Mean, Median, 5 Number Sumary, Boxplots (9/23)
OGIVES and time Plots (9/18)
Histograms (9/17)
Bars Graphs, Circle Graphs, Stemplots, dotplots (9/16)
Probability and Inference 9/11/2013
Data Analysis 9/10/2013
Data Production 9/9/2013
syllabus