Evaluations/Important Dates: | ||
Exam I (20%) | Monday, February 15 | |
Exam II (20%) | Monday, April 04 | |
Mini Project I(10%): | Due 24 | |
Mini Project II(10%): | Due, April 13 | |
Homeworks (15%) | TBD | |
Final Exam (25%) | Wednesday, April 27(11:30AM-2:30PM) |
Letter Grade | E | D- | D | D+ | C- | C | C+ | B- | B | B+ | A- | A | A+ |
Percentage | 0-59 | 60-62 | 63-66 | 67-69 | 70-72 | 73-76 | 77-79 | 80-82 | 83-86 | 87-89 | 90-92 | 93-96 | 97-100 |
Date | Sections | Topics covered | Remarks |
January 6 | Role of Statistics and Data Analysis Process | ||
January 8 | 1.2, 1.3 | Types of Variables, Graphs of Categorical Data | |
January 11 | 1.4 | Graphs of Quantitative Data | Rlab |
January 13 | 1.5 | Frequency Distribution, Histograms | |
January 15 | 2.1, 2.2 | Measures of center | |
January 18 | No class | MLK DAY | |
January 20 | 2.4, 2.5 | Measure Variability, Chebyshev's and Emperical Rule | |
January 22 | 2.6, 2.7 | Measures of Relative Standing, Five Point Summary, Box Plots | |
January 25 | 3.1, 3.2 | Graphs for Categorical Variables | |
January 27 | 3.3 | Grpahs for Bivariate Data | |
January 29 | 3.4 | Numerical Measures for Quantitative Bivariate Data | |
February 1 | 4.1, 4.2, 4.3 | Basics of Probability, Additive Rule | |
February 3 | 4.4 | Counting Rules | |
February 5 | 4.5 | Event Relations and Probability Rules | |
February 8 | 4.6 | Independence and Conditional Probability | |
February 10 | 4.8 | Discrete Random Variables | |
February 12 | 5.1, 5.2 | Binomial Probability Distribution | |
February 15 | Exam 1 | ||
February 17 | 5.3 | Poisson Probability Distribution | |
*February 19 | 5.4 | Hypergeometric Distribution | Rlab |
February 24 | 6.3 | Normal Probability Distribution | |
February 26 | 7.1, 7.2, 7.3 | Sampling Distributions | Rlab |
February 28-March 06 | Spring recess | ||
March 07 | 7.4 | Central Limit Theorem | |
March 09 | 7.5 | Sampling Distribution of the Sample Mean | |
March 11 | 7.6 | Sampling Ditribution of the Sample Proportion | |
March 14 | 8.1,8.2, 8.3 | Statistical Inference | |
March 16 | 8.4 | Point Estimation | |
March 18 | 8.5 | Interval Estimation | |
March 21 | 8.6 | Estimating the Difference between Populatin Means | |
March 23 | 8.7 | Estimating the Difference between Binomial Proportions | |
March 25 | 8.8 | One Sided Confidence Bounds | |
March 28 | 8.9 | Sample Size Calculation | |
March 29 | Review: Confidence Interval | ||
April 1 | Review: Exam | ||
April 4 | Exam II | ||
April 6 | 9.1 | Hypothesis Testing: Introduction | |
April 8 | 9.3 | Large Sample Test about Population Mean contd.. | |
April 11 | 9.4 | Hypothesis testing: Difference between two population means | |
April 13 | 9.5 | Hypothesis Testing: difference between binomial proportion | Mini Project II |
April 15 | Review | ||
April 18 | Review | ||
April 27 | Final Exam (11:30AM- 2:30 PM) |
Description | Remarks | |
Ex 1.3: 1.1, 1.4, 1.5, 1.8, 1.11, 1.12, 1.13 Ex 1.5: 1.16, 1.18, 1.22, 1.23, 1.25, 1.26, 1.33 | Due Jan 22 | |
Ex 2.2: 2.1, 2.3, 2.4, 2.8, 2.12 Ex 2.3: 2.13, 2.15, 2.16, 2.18 Ex 2.5: 2.19, 2.20, 2.22, 2.23, 2.25 , 2.27, 2.28, 2.33 Ex 2.7: 2.40, 2.42, 2.47, 2.48, 2.51 | Due Friday Jan 29 | |
Chapter 3: 3.4: 3.11, 3.14, 3.17, 3.26, 3.29, 3.41 | Due Feb 05 | |
Ex 4.3: 4.1, 4.2, 4.4, 4.6, 4.9, 4.16
Ex 4.4: 4.17, 4.19,4.20, 4.35, 4.36, 4.26,4.39 Ex 4.6: 4.40, 4.46, 4.52, 4.56, 4.57, 4.60, 4.62, 4.65 | Exam 1 covers upto excercise 4.6 | |
Ex4.8: 4.8: 4.80, 4.83,4.84, 4.96 Ex 5.2: 5.1, 5.3, 5.12, 5.23, 5.27,5.28 Ex 5.3: 5.35, 5.37, 5.44,5.45, 5.47 | Quiz on March 07 | |
EX 6.3: 6.1 to 6.11, 6.13, 6.17, 6.19, 6.27, 6.33 Ex 6.4: 6.35, 6.38, 6.43,6.47, 6.49, 6.53 | Quiz on March 16th | |
Ex 7.5: 7.15, 7.17, 7.23, 7.26, 7.27, 7.30, 7.32, 7.34 Ex 7.6: 7.35, 7.38, 7.43, 7.44,7.46, 7.47 | Homework Due: Wednesday March 23 | |
Ex8.4: 8.1, 8.4, 8.8, 8.9, 8.12, 8.16, 8.19 EX8.5: 8.24, 8.27, 8.30, 8.32, 8.34 , 8.35 EX 8.6: 8.41, 8.44, 8.45, 8.47, 8.50 EX 8.7: 8.54, 8.58, 8.59, 8.64, 8.66 Ex 8.9: 8.67, 8.69, 8.73, 8.76, 8.82, 8.83 | Do not need to submit but will be a part of final |
Description | Remarks | |
Data Visualization | ||
Measures of Data | ||
Normal Distribution | ||
Central Limit Theorem | ||
Book Data | Download | |
Fisher's Data This data is one of the most celebrated data by Sir Ronald Fisher (measurements flower dimensions and types): petal width (PW), petal length (PL), sepal width (SW), and sepal length (SL) for a sample of 150 irises. The lengths are measured in millimeters. Type 0 is Setosa; type 1 is Verginica; and type 2 is Versicolor. | Download | |
Salary Data | Download | |
All London 2012 athletes and medal data - Medal Winners | Download |