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 |

BusinessStatistics

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

recommended before taking Business Statistics.

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.

● Graded Quiz: A graded online assessment that is usually shorter than a graded

exam.

● Graded Exam: A graded online assessment that is comprehensive.

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 1000 points in the course:

Topic Assessment Points Available

2 Graded Quiz 1 125

4 Graded Quiz 2 125

6 Graded Quiz 3 125

8 Graded Quiz 4 125

10 Graded Quiz 5 125

13 Graded Quiz 6 125

14 Final Graded Exam 250

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

business and everyday

life; identify business

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

the rules of addition and

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.

● Test a hypothesis about

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.

● Graded Exam: A graded online test.

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

1 Graded Exam #1 75

4 Graded Exam #2 75

8 Graded Exam #3 75

13 Graded Exam #4 75

Review Final Graded Exam 200

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

Radicals

● Identify and use

properties of

real numbers.

● Simplify

algebraic

expressions.

● Identify

and classify

polynomial

and Radicals

expressions.

● Perform

operations on

polynomials.

● Factor

polynomials.

● Write a rational

expression in

simplest form

● Compute

rational

expressions.

● Simplify radical

expressions.

● Multiply and

divide radical

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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3 Quadratic Equations ● Factoring

and solving

Quadratic

Equations using

Factoring

● Completing the

Square

● Quadratic

Formula and

Applications of

the Quadratic

Equations

● Write a

quadratic

equation in the

standard form.

● Solve quadratic

equations by

factoring.

● Solve quadratic

equations by

the square root

property.

● Solve quadratic

equations by

completing the

square.

● Solve quadratic

equations

by using the

quadratic

formula.

● Solve word

problems

involving

quadratic

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

Radicals

and Rational

Exponents

● Complex

Numbers

● Solve

polynomial

equations using

the zero factor

property.

● Solve rational

equations.

● Solve radical

equations.

● Identify

and simplify

complex

numbers.

● Add and

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

quadratic

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

Quadratic

Functions

● Graphing

Polynomial

Functions

● Applications

of Polynomial

Functions

● Graph quadratic

functions by

completing

the square

and using

transformations

.

● Graph a general

quadratic

function using

the vertex

formula.

● Solve

applications

involving

quadratic

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

quadratic

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.

15 Review and Graded

Final Exam

● Course Review ● None

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