Download STAT1000 - North Central State College

MASTER SYLLABUS
2014-2015
A.
Academic Division: Liberal Arts
B.
Department: Mathematics
C.
Course Number and Title: STAT1000 Introduction to Statistics
D.
Course Coordinator: Sara Au
Assistant Dean: Deb Hysell
Instructor Information:

Name:

Office Location:

Office Hours:

Phone Number:

E-Mail Address:
E.
Credit Hours:
3
F.
Prerequisites:
MATH0074
G.
Syllabus Effective: August 2012
H.
Textbook(s) Title:
Elementary Statistics: Picturing the World

Author: Ron Larson Betsy Farber

Year: 2012

Edition: 5th

ISBN #: 9780321693624
I.
Workbook(s) and/or Lab Manual: None
J.
Course Description: This course introduces students to common statistical terms and concepts which are
widely used to describe data, compute probabilities, estimate parameters, show the degree of relationship
between variables, and to make decisions. Emphasis is placed on “real world” examples and applications.
K.
Core Learning Outcomes
Core Learning Outcomes
Communication – Written
Communication – Speech
Intercultural Knowledge and Competence
Assessments - - How it is met & When it is met
All listed assignments are graded.
Core Learning Outcomes
Critical Thinking
Information Literacy
Computation
L.
Assessments - - How it is met & When it is met
All listed assignments are graded.
Cumulative Review Problem Sets: Weeks 4, 9, 15
Homework: assigned with each course topic
Tests: Weeks 4, 10, 15
Project: Week 15
Final exam: Week 16
Cumulative Review Problem Sets: Weeks 4, 9, 15
Homework: assigned with each course topic
Tests: Weeks 4, 10, 15
Project: Week 15
Final exam: Week 16
Course Outcomes and Assessment Methods:
Upon successful completion of this course, the student shall:
Outcomes
Identify levels of data.
Find data from various sources.
Compute descriptive statistics.
Organize data into a frequency table.
Use graphics to present summarized data.
Estimate the mean from grouped data.
Find the median class from grouped data.
Use the Fundamental Theorem of Counting,
permutations, and combinations in order to calculate
the number of possibilities when given a specific
scenario.
Calculate basic probabilities of events.
Determine binomial probabilities.
Determine normal probabilities.
Take a random sample from a population.
Estimate a population mean or proportion.
Test a hypothesis concerning mean (one or two
populations).
Test a hypothesis concerning a proportion (one
population).
Draw a scatter diagram.
Calculate and interpret the coefficient of correlation.
Complete a project incorporating learned concepts.
M.
Course Topical Outline:
Week 1 Overview of statistics
Data classification
Data collection and experimental design
Week 2 Frequency distributions and their graphs
Assessments – How it is met
& When it is met
HW: Wk#1
Test Wk #4 F.Ex. Wk #16
HW: Wk#1
Test Wk #4 F.Ex. Wk #16
HW: Wk#2#3
Test Wk #4 F.Ex. Wk #16
HW: Wk#2
Test Wk #4 F.Ex. Wk #16
HW: Wk#2
Test Wk #4 F.Ex. Wk #16
HW: Wk#3
Test Wk #4 F.Ex. Wk #16
HW: Wk#3
Test Wk #4 F.Ex. Wk #16
HW: Wk#6
Test Wk #10 F.Ex. Wk #16
HW: Wk#5#6
HW: Wk#7
HW: Wk#8
HW: Wk#9
HW: Wk#10#11
HW: Wk#12#13
#14
HW: Wk#13
Test Wk #10
Test Wk #10
Test Wk #10
Test Wk #10
Test Wk #15
Test Wk #15
F.Ex. Wk #16
F.Ex. Wk #16
F.Ex. Wk #16
F.Ex. Wk #16
F.Ex. Wk #16
F.Ex. Wk #16
Test Wk #15 F.Ex. Wk #16
HW: Wk#15
Test Wk #15 F.Ex. Wk #16
HW: Wk#15
Test Wk #15 F.Ex. Wk #16
Project Due by week #16
Data graphs and displays
Measures of central tendency
Week 3 Grouped data
Measures of variation
Measures of position
Week 4
Review #1
Test 1
Week 5
Week 6
Basic concepts of probability and counting
Conditional probability and the multiplication rule
The addition rule
Additional topics in probability and counting
Week 7
Probability distributions
Binomial distribution
Week 8
Introduction to the normal and standard normal distributions
Normal distributions: finding probabilities
Normal distributions: finding values
Week 9
Sampling distributions and the Central Limit Theorem
Review #2
Week 10 Test 2
Confidence intervals for the mean (large samples)
Week 11
Confidence intervals for the mean (small samples)
Confidence intervals for population proportions
Week 12 Introduction to hypothesis testing
Hypothesis testing for the mean (large samples)
Week 13
Week 14
Testing the difference between the mean (large independent samples)
Testing the difference between the mean (small independent samples)
Testing the difference between the mean (dependent samples)
Week 15
Review #3
Test 3
Correlation
Week 16
N.
Hypothesis testing for the mean (small samples)
Hypothesis testing for proportions
Review for Final Exam
Comprehensive Departmental Final Examination
Course Assignment:
10% Homework will be assigned over each topic. Homework will be graded for approach,
communication, and completeness.
15% Cumulative review homework will be assigned and graded for accuracy prior to each test.
40% Tests will cover two or three chapters. (formula sheet and statistical tables provided).
15% A project that will require use of the major learned concepts of the course will be
assigned.
20% Final Exam will be a comprehensive departmental exam.
O.
Recommended Grading Scale:
100-95
94-92
91-89
88-86
85-83
82-80
A
AB+
B
BC+
79-77
76-74
73-71
70-68
67-65
64-Below
C
CD+
D
DF