I willing to pay \$200 for both of these assignemnets all quizzes must be passed 80% or higher. Complete all modules the access code access codes will be posted

 College Algebra SFEXSGNEAE Continue Course     Contacting ProctorU… N/A Business Statistics RGOCWTEOWF

Course Text
● Lind, Douglas A., Marchal, William A. and Samuel A. Wathen. Basic Statistics

for Business and Economics, 7th edition, McGraw-Hill/Irwin, 2010, ISBN:
9780077384470 [find and buy the text: Straighterline.com/textbooks]

Required Computing Software

Several types of computer software will perform the type statistical analyses taught in this
class. For this course, the only required software is Microsoft Excel.

Course Description

This course familiarizes students with the basic concepts of business statistics and provides
a comprehensive overview of its scope and limitations. Students perform statistical
analyses of samples, compute the measures of location and dispersion, and interpret
these measures for descriptive statistics. Other sections review linear regression, multiple
regression, and correlation analysis, as well as model building, model diagnosis, and time
series regression using various models. After a review of the basic concepts of probability,
students apply discrete and continuous distributions of probability. Other topics include
constructing a hypothesis on one and two samples, performing one-way and two-way
analyses of variance, and applying nonparametric methods of statistical analysis.

Course Objectives

After completing this course, students will be able to:

● Define statistics and identify its scope and limitations.
● Describe and apply the basic concepts in statistics.
● Apply the sampling methods and the Central Limit Theorem to perform statistical

analyses of samples and to predict population behavior.
● Compute and interpret measures of location and dispersion.
● Represent the statistical data in different forms and interpret the different

representations.
● Perform linear regression and correlation analysis.
● Perform multiple regression and correlation analysis.
● Describe the basic concepts of probability.
● Describe and apply the discrete and continuous distributions of probability.
● Conduct hypothesis tests based on one or two samples.

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● Perform one-way and two-way analyses of variance (ANOVA).
● Apply nonparametric methods of statistical analysis.
● Perform time series regression using various models.
● Perform model building and model diagnoses.

Course Prerequisites

Successful completion of Introductory and/or Intermediate Algebra courses is

Important Terms

In this course, different terms are used to designate tasks:

● Practice Exercise: A non-graded set of problems that where skills discussed in a
topic are practiced.

exam.

Course Evaluation Criteria

StraighterLine does not apply letter grades. Students earn a score as a percentage of
100%. A passing percentage is 70% or higher. If you have chosen a Partner College to
scale. Only passing scores will be considered by Partner Colleges for an award of credit.

There are a total of 1000 points in the course:

Topic Assessment Points Available

Total 1000

Course Topics and Objectives

Topic Lesson Topic Subtopics Objectives

1 Statistics: An
Introduction
and Basic
Concepts

● Use of
Statistics

● Types of
Variables

● Levels of
Measurement

● Ethics in
Statistics

● Software and
Statistics

● Graphical
Displays of
Categorical
Data

● Differentiate between the
word “statistics” and the
science of statistics.

● Describe the importance
of statistics and
situations where
statistics are used in
situations in which
statistics can be used
appropriately and
inappropriately.

● Identify qualitative versus
quantitative and discrete
versus continuous
variables.

● Discuss the levels of

measurement and
choose the most
appropriate level of
measurement for a
specified situation.

● Explain the role of
computer software in
statistical analysis and
identify some of the
most popular software
packages.

● Construct bar charts to
display categorical data.

2 Descriptive
Statistics:
Numerical
Measures

● Arithmetic
Mean

● Geometric
Mean

● Median and
Mode

● Measures of
Dispersion

● Chebyshev’s
Theorem and
the Empirical
Rule

● Using Software
to Compute
Descriptive
Statistics

● Calculate the arithmetic
mean for a given set of
data.

● Calculate the geometric
mean for a given set of
data.

● Calculate the median and
mode for a given set of
data.

● Compute and interpret
the range, mean
deviation, variance, and
standard deviation for
data observations.

● Interpret data using
Chebyshev’s theorem
and the Empirical rule.

● Understand how
software can be used
in computing various
measures of location and
dispersion.

3 Descriptive
Statistics:
Representation
al

● Dot Plot, Stem
Plot and
Histogram

● Quartiles,
Deciles, and
Percentiles

● Skewness
● Bivariate Data

● Create and interpret
dot plot, box plot, and
scatter diagrams.

● Define and compute
quartiles, deciles, and
percentiles.

● Compute and interpret
the coefficient of
skewness.

● Construct a contingency
table.

4 Probability

● Probability
Approaches

● Probability
Calculations

● Tools of
Analysis

● computing
the Number
of Possible
Outcomes

● Discuss the objective and
subjective approaches to
probability analysis.

● Calculate probability using
multiplication.

● Use and interpret
contingency tables,
Venn diagrams, and tree
diagrams.

● Compute the number
of possible outcomes
for combinations and
permutations using
formulae and Excel
functions.

5 Discrete and
Continuous
Probability
Distributions

● Discrete
Progrability
Distributions

● Binomial
Probability
Distributions

● Poisson
Probability
Distributions

● Uniform
Probability
Distributions

● Normal
Probability
Distributions

● Sampling
Distribution
of the Sample
Mean

● Central Limit
Theorem

● Explain the difference
between discrete and
continuous distribution.

● Compute the mean
and the standard
deviation for a uniform
distribution.

● Calculate the mean,
variance, and standard
deviation of a probability
distribution.

● Compute probabilities
using the binomial
probability distribution.

● Compute probabilities
using the uniform
distribution.

● Calculate areas under a
normal curve using the
Empirical Rule.

● Compute probabilities
using the Poisson
probability distribution.

● Compute probabilities
using the normal
probability distribution.

● Select a sample and
construct a sampling
distribution of the mean.

● Explain the importance of
the central limit theorem
and how it applies to
sample distributions.

6 Sampling
Methods

● Sampling a
Population

● Sampling
Errors

● Define the terms
population and sample.

● Explain the need for
sampling.

● Use a simple random
sampling technique to
select members of the
general populate.

● Understand more complex
sampling techniques,
such as stratified,
cluster, and systematic
random sampling.

● Identify sampling errors
in a given situation.

7 Using
confidence
Intervals in
the Sampling
Process

● Large Sample
Confidence
Intervals

● Small Sample
Confidence
Intervals

● Proportions
● Sample Size

● Define the terms
confidence interval,
point estimate, and
degrees of freedom, and
explain how they are
involved in the sampling
process.

● Demonstrate the ability
to compute a confidence
interval for a large
sample experiment.

● Compute a confidence
interval for a small
sample experiment.

● Compute a confidence
interval for a proportion.

● Determine an appropriate
sample size for small,
large, and proportion
experiments.

8 Tests of
Hypothesis

● Hypothesis
Testing: An
Introduction

● Decision
Making in
Hypothesis
Testing

● Hypothesis
Testing with
Proportions

● Two-Sample
Test of
Hypothesis

● Formulate null and
alternate hypotheses,
and test the hypothesis
using the five steps of
the hypothesis testing
procedure.

● Discuss Type I and Type
II errors on a test of
hypothesis.

● Perform a one-tailed
and a two-tailed test of
hypothesis.

● Perform a test of
hypothesis on the
difference between two
population means using
the z and t statistics.

● Perform a test of
hypothesis on a
population proportion
using the z statistic.

9 Analysis of
Variance

● Using the F
Distribution
in Variance
Analysis

● Analysis of
Variance
(ANOVA)

● Computing
the Analysis
of Variance
(ANOVA)
– Sum of
Squares

● Analyzing the
Variance

● Use of
Software
in Variance
Analysis

● Discuss the general idea
of analysis of variance
and analyze the given F
distribution.

● Test a hypothesis to
determine whether
the variances of two
populations are equal.

three or more treatment
means and develop
confidence intervals for
the difference between
treatment means.

● Perform an analysis of
variance (ANOVA).

● Understand how to use
statistical software in
variance analysis.

10 Regression
Analysis

● Correlation
Analysis

● Coefficient of

● Discuss the difference
between correlation and
causation.

Correlation
● Regression

Analysis
● Confidence

Interval and
Prediction
Intervals

● ANOVA Table

● Analyze the correlation
between two variables in
specified situations.

● Calculate and interpret
the coefficient
of correlation,
the coefficient of
determination, and the
standard error.

● Calculate and interpret
the linear regression
line.

● Construct and interpret a
confidence interval and
prediction interval for a
dependent variable.

● Use an ANOVA table data
to compute statistics.

11 Multiple
Regression
Analysis

● Multiple
Regression
Analysis
Equation

● Analyzing
ANOVA Table
Output

● Analyzing
Individual
Independent
Variables

● Analyze the relationships
between several
independent variables
and a dependent
variable.

● Test to determine
whether the regression
coefficient for each
independent (or
explanatory) variable
has a significant
influence upon the
dependent variable.

● Calculate and interpret
multiple regression
analysis.

● Compute variance of
regression using the
standard error of
estimate and the ANOVA
table.

● Calculate and interpret
the coefficient of
determination and the
correlation matrix.

● Identify the violation

of assumptions:
homoscedasticity and
autocorrelation.

12 Nonparametric
Methods

● Chi-Square
Test

● Contingency
Table
Analysis

● Test a hypothesis
comparing an observed
set of frequencies to
an expected set of
frequencies using the
chi-square test.

● Identify the limitation of
the chi-square test in a
specified situation.

● Analyze relationships in
statistical data using a
contingency table.

13 Process
Improvement
Using Control
Charts

● Statistical
Process
Control

● Creating
Control
Charts

● Analyzing
Control
Charts

● Natural
Tolerance
Limits

● p Chart

● Identify the causes of
process variation and
apply statistical process
control to reduce
process variation.

● Sample a process and use
rational sub-grouping to
control process.

● Use statistical software
to create X-bar and R-
charts.

● Interpret information
presented in control
charts and R-charts
to identify assignable
causes and analyze
patterns.

● Calculate and analyze
the upper and lower
natural tolerance limits
to evaluate whether a
process is capable of
meeting specifications.

● Construct p chart for
fraction nonconforming.

14 Review

● Course Review ● None

College

Algebra
Course Text

Barnett, Raymond A., Michael R. Ziegler, and Karl E. Byleen. College Algebra, 8th edition,

McGraw-Hill, 2008, ISBN: 9780072867381 [find and buy the text: Straighterline.com/
textbooks]

Course Description

This course provides a working knowledge of college-level algebra and its applications.
Emphasis is placed upon the solution and the application of linear and quadratic equations,
word problems, polynomials, and rational and radical equations. Students perform
operations on real numbers and polynomials and simplify algebraic, rational, and radical
expressions.

Arithmetic and geometric sequences are examined, and linear equations and inequalities are
discussed. Students learn to graph linear, quadratic, absolute value, and piecewise-defined
functions and solve and graph exponential and logarithmic equations. Other topics include
solving applications using linear systems as well as evaluating and finding partial sums of a
series.

Course Objectives

After completing this course, students will be able to:
● Perform operations on real numbers and polynomials.
● Simplify algebraic, rational, and radical expressions.
● Solve both linear and quadratic equations and inequalities.
● Solve word problems involving linear and quadratic equations and inequalities.
● Solve polynomial, rational, and radical equations and applications.
● Solve and graph linear, quadratic, absolute value, and piecewise-defined functions.
● Perform operations with functions as well as find composition and inverse functions.
● Graph quadratic, square root, cubic, and cube root functions.
● Graph and find zeroes of polynomial functions.
● Perform vertical and horizontal shifts and reflections of a basic graph.
● Perform stretches and compressions on a basic graph.
● Transform the graph of a general function.
● Graph quadratic functions by completing the square, using the vertex formula, and

using transformations.
● Solve and graph exponential and logarithmic equations.
● Solve systems of linear equations and inequalities.
● Model and solve applications using linear systems.
● Evaluate and find partial sums of a series.

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● Evaluate and find sums of arithmetic and geometric sequences.
● Solve application problems involving arithmetic and geometric sequences and series.
● Solve applications involving the various types of equations and inequalities.

Course Prerequisites

StraighterLine suggests, though does not require, that students take Introductory Algebra
or its equivalent before enrolling in College Algebra.

Important Terms

In this course, different terms are used to designate tasks:
● Practice Exercise: A non-graded assignment to assist you in practicing the skills

discussed in a topic.

Course Evaluation Criteria

StraighterLine does not apply letter grades. Students earn a score as a percentage of
100%. A passing percentage is 70% or higher.

If you have chosen a Partner College to award credit for this course, your final grade will be
based upon that college’s grading scale. Only passing scores will be considered by Partner
Colleges for an award of credit.

There are a total of 500 points in the course:

Topic Assessment Points Available

Total 500

Course Topics and Objectives

Topic Lesson Subtopics Objectives

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1 Basic Algebraic
Operations

● Real Numbers
and Polynomials

● Rational
Expressions

● Rational
Exponents and

● Identify and use
properties of
real numbers.

● Simplify
algebraic
expressions.

● Identify
and classify
polynomial
expressions.

● Perform
operations on
polynomials.

● Factor
polynomials.

● Write a rational
expression in
simplest form

● Compute
rational
expressions.

expressions.

● Multiply and
expressions.

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2 Linear Equations and
Inequalities in One
Variable

● Linear
Equations and
Applications

● Linear
Inequalities and
Applications

● Absolute Value
in Equations
and Inequalities

● Solve linear
equations
by using all
properties of
equality and the
rules.

● Solve word
problems
using linear
equations.

● Solve and
graph linear
inequalities.

● Solve an
application
using
inequalities.

● Solve
absolute value
equalities and
inequalities.

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and solving
Equations using
Factoring

● Completing the
Square

Formula and
Applications of
Equations

● Write a
equation in the
standard form.

equations by
factoring.

equations by
the square root
property.

equations by
completing the
square.

equations
by using the
formula.

● Solve word
problems
involving
equations.

● Use the
discriminant
to identify the
number of
solutions.

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4 Polynomial and Other
Equations

● Polynomial
Equations and
Applications

● Equations
Involving
and Rational
Exponents

● Complex
Numbers

● Solve
polynomial
equations using
the zero factor
property.

● Solve rational
equations.

equations.

● Identify
and simplify
complex
numbers.

subtract
complex
numbers.

● Multiply and
divide complex
numbers.

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5 Functions and Graphs ● Rectangular
Coordinates and
the Graph of a
Line

● Use a table
of values to
graph linear
equations.

● Determine
when lines
are parallel or
perpendicular.

● Use linear
graphs in an
applied context.

● Identify
functions and
state their
domain and
range.

● Use function
notation.

● Write a linear
equation in
function form.

● Use function
form to identify
the slope.

● Use slope-
intercept form
to graph linear
functions.

● Write a linear
equation in
point-intercept
form.

● Use the function
form, the
slope-intercept
form, and the
point-intercept
form to solve
applications.

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6 Operations and
Functions

● The Algebra and
Composition
Functions

● One-to-One
and Inverse
Functions

● Compute a sum
or difference of
functions and
determine the
domain of the
result.

● Compose
two functions
and find the
domain.

● Identify one-to-
one functions.

● Find inverse
functions using
an algebraic
method.

● Graph a
function and its
inverse.

● Graph
factorable
equations.

● Graph the
square root,
cubic, and cube
root functions.

● Compute a
product or
quotient of
functions and
determine the
domain of the
result.

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7 Analyzing Graphs ● Piecewise-
Defined
Functions

● Graphs and
Symmetry

● Tranformations

● State the
domain of a
piecewise-
defined
function.

● Evaluate
piecewise-
defined
functions.

● Graph functions
that are piece-
wise defined.

● Identify
different
symmetry
types.

● Use symmetry
as an aid to
graphing.

● Perform vertical
and horizontal
shifts of a basic
graph.

● Perform vertical
and horizontal
reflections of a
basic graph.

● Perform
stretches and
compressions
on a basic
graph.

● Transform
the graph
of a general
function.

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8 Graphing Polynomial
Functions

● Graphing
General
Functions

● Graphing
Polynomial
Functions

● Applications
of Polynomial
Functions

functions by
completing
the square
and using
transformations
.

● Graph a general
function using
the vertex
formula.

● Solve
applications
involving
functions.

● Graph
polynomial
functions.

● Describe the
end behavior
of a polynomial
graph.

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9 Graphing Rational
Functions

● Asymptotes
and Rational
Functions

● Graphing
Rational
Functions

● Applications
of Rational
Functions

● Graph the
reciprocal
and reciprocal
functions.

● Identify
horizontal
and vertical
asymptotes.

● Use asymptotes
to graph
transformations
.

● Use asymptotes
to determine
the equation
of a rational
function from
its graph.

● Find the domain
of a rational
function.

● Find the
intercepts
of a rational
function.

● Graph general
rational
functions.

● Solve
applications
involving
rational
functions.

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10 Exponential and
Logarithmic Functions

● Exponential
Functions

● Logarithms and
Logarithmic
Functions

● The Exponential
Function
and Natural
Logarithm

● Evaluate an
exponential
function.

● Graph
exponential
functions.

● Solve certain
exponential
equations.

● Solve
applications
of exponential
equations.

● Write
exponential
equations in
logarithmic
form.

● Graph
logarithmic
functions
and find their
domains.

● Solve
applications
of logarithmic
functions.

● Evaluate and
graph base
exponential
functions.

● Evaluate
and graph
the natural
logarithm
functions.

● Apply the
properties of
logarithms.

● Use the
change-of-base
formula.

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11 Exponential and
Logarithmic Equations

● Exponential
Equations

● Logarithmic
Equations

● Applications of
Expnential and
Logarithmic
Equations

● Write
logarithmic and
exponential
equations in
simplified form.

● Solve
exponential
equations.

● Solve
logarithmic
equations.

● Solve
applications
involving
exponential
and logarithmic
equations.

● Use exponential
equations to
find the interest
compounded in
times per year.

● Use exponential
equations to
find the interest
compounded
continuously.

● Solve
exponential
growth
and decay
problems.

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12 Systems of Linear
Equations in Two
Variables

● Solving
Systems
Graphically and
by Substitution

● Solving
Systems using
Elimination

● Applications of
Linear Systems

● Verify ordered
pair solutions.

● Solve linear
systems by
graphing.

● Solve linear
systems by
substitution.

● Solve linear
systems by
elimination.

● Recognize
inconsistent
systems (no
solutions) and
dependent
systems
(infinitely many
solutions).

● Use a system
of equations to
mathematically
model and solve
applications.

13 Solving Linear
Systems Using
Augmented Matrices

● Matrices
● Solving Linear

Systems
using Matrix
Equations

● More
Applications of
Linear Systems

● State the size
of a matrix
and identify
entries in a
specified row
and column.

● Form the
augmented
matrix of a
system of
equations.

● Recognize
inconsistent
and dependent
systems.

● Model and solve
applications
using linear
systems.

● Solve a system
of equations
using row
operations.

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14 Sequences and Series ● Sequences and
Series

● Arithmetic
Sequences

● Geometric
Sequences

● Write out the
terms of a
sequence given
the general
term.

● Determine the
general term of
a sequence.

● Find the partial
sum of a series.

● Use summation
notation to
write and
evaluate the
series.

● Solve
applications
using
mathematical
sequences.

● Find the sum
of a geometric
series.

● Solve
application
problems
involving
geometric
sequences and
series.

Final Exam

● Course Review ● None