Download Statistics - IRIS - Lake Land College

9/24/15 DATE
X
X
Math/Science
REQUIRED COURSE
ELECTIVE COURSE
X
DIVISION
NEW COURSE
REVISION
LAKE LAND COLLEGE
Course Information Form
COURSE NUMBER MAT125
SEM CR HRS 3
LT HRS
COURSE PCS #
Textbook
PREREQUISITES:
3
TITLE Statistics
LAB HRS
SOE HRS
ECH 3
(Assigned by Administration)
Intermediate Algebra and Geometry with a grade of C or better
Catalog Description (40 Word Limit):
Application of elementary principles of descrip-
tive statistics including frequency distribution, graphical presentation, measure of
location and variation. Elements of probability, sampling techniques, binomial and
normal distribution and other topics.
CONTENT
OUTLINE
LECTURE
HOURS
Introduction
1
Descriptive Statistics
5
Pictures of Data
3
Measures of Central Tendency, Dispersion, Position
6
Probability
4
Addition and Multiplication Rules
4
Complements, Odds, and Counting
4
Probability Distributions
4
Binomial Experiments
5
Normal Probability Distributions
4
Hypothesis Testing and Inferences
5
EVALUATION: Quizzes
X
Lab Work
Textbook:
Title
Exams X
Projects
Oral Pres.
Papers
Comp.Final X
Other
Elementary Statistics
Author
Publisher
Mario F. Triola
Addison-Wesley Publishing Company
Volume/Edition
12th Edition
Copyright Date
SEE REVERSE FOR CONTENT DETAIL
2014
Major Course Segment
Hours
Learning Outcome
Introduction to Statistics
1
To develop a compreh-
Kinds of Data
1
ensive ability to under-
Levels of Measurement
2
stand the topics listed by
Tables for Summarizing Data
2
displaying a skill in
Pictures of Data
2
solving applied problems.
Measures of Central Tendency
2
Measures of Dispersion
2
Measures of Position
3
Introduction to Probability
1
Addition Rule
2
Multiplication Rule
2
Conditional Probability
2
Complements and Odds
2
Permutations and Combinations
2
Probability Distributions
3
Binomial Distributions
3
Normal Probability Distributions
4
The Central Limit Theorem
2
Estimates and Samples Sizes
2
Hypothesis Testing
2
Inferences (two samples)
3
Course Outcomes: At the successful completion of this course, students will be able to:
 Collect, analyze and interpret data using descriptive statistics.
 Compute and understand probability.
 Set up a probability distribution using the rules of probability including the
multiplication rule, binomial probability, etc.
 Understand the normal distribution with its role in basic statistical methods.
 Understand the central limit theorem and its role in basic statistical methods.
 Conduct a hypothesis test and interpret the results.
THIS COURSE MEETS THE FOLLOWING GENERAL EDUCATION GOALS:
Critical Thinking, Objective b.: Students will apply critical thinking skills though evaluating
sources. Students will learn to think carefully about the source of their data and how it affects the
validity of the data.
Critical Thinking, Objective c.: Students will apply critical thinking skills through analyzing data
and arguments. Students will analyze measures of central tendency, measures of variation,
distribution and measures of relative standing of data sets from both samples and populations.
Furthermore students will learn how to analyze results of data from experiments and differentiate
between common and unusual outcomes.
Critical Thinking, Objective d: Students will apply critical thinking skills through interpreting
initial results. Students will learn how to analyze results of data from experiments and
differentiate between common and unusual outcomes.
Problem Solving, Objective b: Students will demonstrate scientific and quantitative problemsolving skills through performing mathematical operations. Students will learn how to compute
mean, median, midrange, mode, variance, range and standard deviation of a data set. Students
will also learn how to solve normal distribution problems using mathematical operations.
Furthermore, students will use mathematical operations to solve problems dealing with
probability and percentages.
Problem Solving, Objective c.: Students will demonstrate scientific and quantitative problem solving skills through interpreting tables and graphs. Students will learn how to solve probability
problems involving tables and graphs. Students will also learn how to organize and analyze data
using frequency distributions, histograms, frequency polygons, and stem-and-leaf plots. Students
will also learn how to solve binomial distribution problems using the binomial distribution table.
Students will learn how to set up a confidence interval using the z-score, t-score or chi-square
table. Furthermore, students will learn how to analyze the properties of the normal distribution
using z-score tables and normal curves.
Problem Solving, Objective d.: Students will demonstrate scientific and quantitative problemsolving skills through applying percentages, ratios, and averages. Students will learn how to
calculate theoretical and empirical probabilities. Students will also use ratios to calculate odds.
Furthermore, students will learn how to calculate averages using measures of central tendency.