Spring 2019

This schedule is subject to change.

Date Topic
Wed 1/9 1.1 Displaying data, Read 1.2 Describing data numerically
Fri 1/11 1.3 Normal distributions
Mon 1/14 More 1.3 Normal distributions
Wed 1/16 2.1 Scatterplots, 2.2 Correlation
Fri 1/18 No class meeting - Read 2.2 Correlation
Mon 1/21 MLK Day
Wed 1/23
More 2.2 Correlation, 2.3 least-squares regression
Fri 1/25
More 2.3 Least-squares regression
Mon 1/28
2.4, 2.5 Proper use of correlation and regression
Wed 1/30
3.1, 3.2, 3.3 Producing data
Fri 2/1
3.4 Inference
Mon 2/4
Catch up, review
Wed 2/6
First exam
Fri 2/8
4.1, 4.2 Probability
Mon 2/11
4.3 Random variables
Wed 2/13
More 4.3 random variables, 4.4 means and variances
Fri 2/15
4.4 Law of Large Numbers
Mon 2/18
5.1 Sampling distributions
Wed 2/20
More 5.1 Sampling distributions
Fri 2/22
5.2 Central Limit Theorem
Mon 2/25
6.1 Confidence intervals
Wed 2/27
More 6.1 Confidence intervals
Fri 3/1
6.2 Significance tests
3/4-3/15
Spring break/Journeys/Peak week
Mon 3/18
More 6.2 Significance tests
Wed 3/20
6.3 Proper use of significance tests, 6.4 Power
Fri 3/22
7.1 Inference for means
Mon 3/25
More 7.1 Inference for means
Wed 3/27
7.2 Comparing two means
Fri 3/29
More 7.2 Comparing two means
Mon 4/1
More inference
Wed 4/3
Catch up, review
Fri 4/5
Second exam
Mon 4/8
8.1 Inference for a proportion
Wed 4/10
More 8.1 Inference for a proportion
Fri 4/12 8.2 Comparing two proportions
Mon 4/15
9.1 Two-way tables
Wed 4/17
9.2 Chi-square
Fri 4/19
Easter
Mon 4/22
12.1 ANOVA
Wed 4/24
More 12.1 ANOVA
Fri 4/26
Present projects : Bria/Madison/Julia, Lydia/Dydney/Bryanna, Leila/Natalia/Rachel, Fabiola, Madison/Mya/Rebecca
Mon 4/29
Present projects : Rosa/Khina/Yunfan, Emily/Lily, Angelica/Alex/Melody, Michi/Damira/Ahmanie, Alisha/Ashayla/Nmesoma
Wed 5/1
Review, summary