Math 250  Statistical Methods I
Spring 2018
Professor: Bo Kai
Office: 350 Robert Scott Small
Building
Phone: (843) 9538017
Email: KaiB@cofc.edu
Office
Hours: TR 12:30  1:30 pm
or by appointment
Syllabus: Section 02, Section 06
Textbook: Introductory Statistics (10th Edition), by Neil A. Weiss, Published by Pearson.
Textbook Publisher Webpage
Textbook Companion Website
College of Charleston:
Academic
Calendar
Final Exam
Schedule
The Honor
System
Course Calendar
Week

Tuesday

Thursday

1

01/09

01/11

2

01/16

01/18 Quiz 1; HW1 Due

3

01/23

01/25

4

01/30

02/01 Quiz 2; HW2 Due

5

02/06

02/08

6

02/13

02/15 Test 1; HW3 Due

7

02/20

02/22

8

02/27

03/01 Quiz 3; HW4 Due

9

03/06

03/08

10

03/13

03/15 Quiz 4; HW5 Due

11

03/20 Spring Break

03/22 Spring Break

12

03/27

03/29

13

04/03

04/05 Test 2; HW6 Due

14

04/10

04/12

15

04/17

04/19 Review

Final

04/25
 05/02

Homework Assignments
Instructions:
 Homework problems will be
assigned after each lecture and collected biweekly in
class.
 All homework problems are
from the textbook. Answers to oddnumbered problems are included in the textbook!
 Detailed solutions
will be posted in OAKS after each collection. It is your responsibility to check your homework answers
against the posted solutions.
 Problems in BLACK color are handwritten problems. Problems
in RED color are Minitab problems, which need the use of Minitab to answer questions.
 Please use a word
processor, such as MS Word, to do Minitab problems. To save paper, DO NOT print outputs/graphs directly from
Minitab! You may copy and paste Minitab outputs/graphs into
a Word document, type out all
your answers, and then print the Word file.
 Datasets can be found in
the book CD or downloaded from the Textbook Companion Website. Please use Minitab
Files (Format) or Text Files (Format).
 Minitab should be
available on most campus computers. Personal copies can be obtained
via 30day free trial or 6month rental
(for $29.99). Note that the 30day free trial option is not available for Mac.
 Minitab 18 for PC is a full version, while Minitab Express for
Mac is a light version. The Minitab Guide provided with HW problems are
based on Minitab 18 for
PC. If you are using Minitab Express for Mac, the interface
is somewhat different from the one of Minitab 18 for PC. You may
either explore and figure out by yourself or ask me for help.

HW1
Due 01/18

01/09

Section 1.1:
1.7, 1.9, 1.13, 1.15.
Section 1.2:
1.45, 1.51(b).
Section 2.1:
2.7, 2.9, 2.15, 2.16.
Minitab Guide:
 To
generate a simple random sample using Minitab, please follow
Instruction 1.1 on the top of page 15 of the textbook.

01/11

Section 2.22.3:
2.39, 2.107.
Section 2.4: 2.143, 2.145, 2.146,
2.149, 2.151, 2.153.
Section 3.1: 3.19, 3.27, 3.47, 3.51,
3.55, 3.56.
Minitab Guide:
 To
make a frequency/relative frequency table, select Stat => Tables =>
Tally Individual Variables,
check either ‘Counts’ or ‘Percents’ or both.
 To
make a pie chart, select Graph
=> Pie Chart.
 To
make a bar chart, select Graph
=> Bar Chart.
 To
make a histogram, select Graph
=> Histogram.
 To
make a dotplot, select Graph => Dotplot.
 To
make a stemandleaf diagram, select Graph => StemandLeaf.
 To obtain number summaries, select Stat => Basic Statistics =>
Display Descriptive Statistics. To display Mode and/or other
statistics, please check the ‘Statistics…’
button.

01/16

Section 3.2: 3.64, 3.71, 3.81, 3.87, 3.91.
Section 3.3: 3.121, 3.139.
Section 3.4: 3.163, 3.165,
3.167, 3.169, 3.183.
Minitab Guide:
 To
make a boxplot, choose Graph =>
Boxplot, and select Simple in the One Y row.

HW2
Due 02/01

01/18

Section 3.4: 3.178,
3.181, 3.191.
Section 3.5:
3.192, 3.217, 3.218, 3.225.
Minitab Guide:
 To
make a comparative boxplot, choose Graph => Boxplot,
and select Simple in the Multiple Y’s row.

01/23


01/25


02/01


Course Materials and Grades
─ Please view/download course materials, such as lecture slides,
solutions, study guides, etc., under the Content menu
in OAKS.
─ Please check your grades under the Grades menu
in OAKS.
Project
─ You’ll earn up to 5 bonus points after
completing the project.
─ Detailed information and instruction will be posted in OAKS.
Supplementary Materials
1. Poker
Probability from Wikipedia
2. Java Applet: Sampling Distribution
