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Introduction to Statistics

City University of New York - College of Staten Island - 2021 Spring
Math 113/21204 MW 2:30-4:25

other (Feb 1 - Mar 7)
other (Mar 8 - May 25)

Office hours MW 5:00-6:30
Office hours Monday 4:30 on Blackboard Collaborate

Day 1 Checklist

  1. Confirm your preferred email on CunyFirst > Self Service > Personal Info
  2. Confirm you can log into Blackboard > This course > Blackboard Collaborate
  3. Create free Gradescope.com account and add course 5V74JJ
    (This is where you will submit exams and labs.)
  4. Create free Perusall.com account and add course SUNDERLAND-A8N72
    You will see the following
    1. Stats, OpenStax
    2. Stats, Illowsky
    3. Algebra, OpenStax
    4. Normal Table
    5. Regression Handout
  5. Log into WeBWorK math.csi.cuny.edu/webwork2/ and change your password

Weekly Requirements

  1. Synchronous Lecture Monday & Wednesday on Blackboard Collaborate   —starting 2.1
  2. Reading annotations due Sunday (11:59 PM) on Perusall   —starting 2.7
  3. Problemset due Sunday (11:59 PM) on WeBWorK   —starting 2.14
  4. Lab due Sunday on Gradescope (11:59 PM)   —starting 2.14

Grade

Your grade is the average of Exam 1, Exam 2, Exam 3, Final, and Coursework.
Coursework consists of lecture participation (just be there and engaged) and reading annotations, problemsets, and labs.

Important Dates

  1. Add deadline = 2.4
  2. Drop deadline = 2.18
  3. Withdraw deadline = 5.17

Helpful Links and Resources

  1. Lecture notes are posted below under Schedule below after each lecture
  2. Blackboard Collaborate automatically processes and posts a recording of each lecture about 30 minutes after the last person has left, available at BlackBoard > Collaborate > ☰ > Recordings
  3. CSI Office of Academic Support offers free online tutoring seven days a week. See schedule at https://www.csi.cuny.edu/students/academic-assistance/tutoring

Labs

Link Lab demo Lab due Topic
Lab 1 2.3 2.14 How to submit labs
Lab 2 2.10 2.21 Histograms
Lab 3 3.10 3.21 Boxplots
Lab 4 3.17 4.4
Lab 5 4.7 4.18
Lab 6 4.14 4.25
Lab 7 4.21 5.2
Lab 8 4.28 5.9
Lab 9 5.5 5.16

Schedule

Reading due Lecture date WeBWorK due Topic
A,B 2.1 2.21 (1.1) Population and Sample. (1.2-3) Data type.
C 2.3 2.21 (1.3) Frequency table. Lab 1.
D,E 2.7 2.8 2.21 (2.1-2) Histogram. (2.5) Mean.
E,F 2.7 2.10 2.21 (2.5) Grouped mean. (2.6) Skew. (2.7) Standard deviation. Lab 2.
G 2.14 2.17 2.28 (2.4) Boxplot.
2.22
H,I 2.21 2.24 3.7 (12.2) Correlation. (12.3) Regression.
Exam 1 Opens 3.3 Due 3.14.
J,K 2.28 3.1 3.14 Review. Probability. Add rule and multiply rule
L 2.28 3.3 3.14 Complement and conditional probability
M,N 3.7 3.8 3.21 Counting principle. (4.1-2, 5.1-2) Probability distributions
O,P 3.7 3.10 3.21 (4.3) Binomials. (6.1) Standard normal. Lab 3
Q,R 3.14 3.15 4.4 (6.2) Normals. (7.1,3) Sampling distributions.
S 3.14 3.17 4.4 (7.1,3) CLT. Lab 4.
3.22 Review
3.24 Exam 2
T,U 4.4 4.5 4.18 (8.3) Estimate p. (8.1-2) Estimate µ.
4.4 4.7 4.18 Lab 5.
V,W 4.11 4.12 4.25 (9.1-5) Testing p. Testing µ
4.11 4.14 4.25 Lab 6.
X 4.18 4.19 5.2 (10.3) Testing p₁ p₂
4.18 4.21 5.2 Lab 7.
Y,Z 4.25 4.26 5.9 (10.1-2) Testing µ₁ µ₂ for independent samples. (10.4) Testing µ₁ µ₂ for matched pairs.
4.25 4.28 5.9 Lab 8.
AA,AB 5.2 5.3 (11.1-2) Goodness of fit. (11.3) Contingency tables
5.5 5.16 Lab 9.
5.10 Review
5.12 Exam 3
5.17 Review
TBD Final