# Introduction

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This is the introduction to the Elementary Statistics online course. This content is designed as a complement to Collaborative Statistics (col10522) by Barbara Illowsky and Susan Dean.

The following modules are based on the award-winning Elementary Statistics online course by authors Barbara Illowsky and Susan Dean. The content presented here was designed to be used as a complementary resource with their Collaborative Statistics textbook/collection.

The source documents for this collection can be found at (External Link) .

## Course management

The Course Syllabus provides instructors a basic framework for teaching this material to their students. Thi document is intended to serve as a starting point; instructors should use this document as a foundation for creating a learning experience customized to meet their students unique needs.

## Video lectures

As a part of their award-winning online course , the authors have provided a number of video lectures. These half-hour segments can be used for self-study or as a complement to the Collaborative Statistics textbook. The authors also provide videos instructing students on the use of the TI-83 calculator as used in the textbook and course activities and exercises.

## Lecture videos

• Chapter 1: Sampling and Data
• Chapter 2: Descriptive Statistics
• Chapter 3: Probability Topics
• Chapter 4: Discrete Distributions
• Chapter 5: Continuous Random Variables
• Chapter 6: The Normal Distribution
• Chapter 7: The Central Limit Theorem
• Chapter 8: Confidence Intervals
• Chapter 9: Hypothesis Testing - Single Mean and Single Proportion
• Chapter 10: Hypothesis Testing - Two Means, Two Proportions, Paired Data
• Chapter 11: The Chi-Square Distribution
• Chapter 12: Linear Regression and Correlation

## Ti-83 calculator video tutorials

• TI-83 Calculator Tutorial, Part 1
• TI-83 Calculator Tutorial, Part 2

## Practice exams, problem sets, and quizzes

A number of practice tests and problem sets are provided for student self-evaluation and to provide opportunities for students to practice key concepts introduced throughout the course. Solutions to these exercises are provided as feedback to aid student retention and understanding. These problem sets may be used as homework assignments or self-directed study aids.

## Skills practice exams

• Skills Practice Exam 1: Chapters 1, 2,&12
• Skills Practice Exam 2: Chapters 3, 4, 5,&6
• Skills Practice Exam 3: Chapters 7, 8, 9,&10

## Practice final exams

• Practice Final Exam 1: Chapters 1&2
• Practice Final Exam 2: Chapters 3&4
• Practice Final Exam 3: Chapters 5, 6,&7
• Practice Final Exam 4: Chapters 8, 9,&10
• Practice Final Exam 5: Chapter 11
• Practice Final Exam 6: Chapter 12

In addition to the problem sets provided above, the following multiple-choice quizzes are provided as resources for instructors. These modules can be used as assignments or as templates for classroom assessments. Answers to these items are not provided.

## Quizzes

• Chapter 1: Sampling and Data
• Chapter 2: Descriptive Statistics
• Chapter 3: Probability Topics
• Chapter 4: Discrete Distributions
• Chapter 5: Continuous Random Variables
• Chapter 6: The Normal Distribution
• Chapter 7: The Central Limit Theorem
• Chapter 8: Confidence Intervals
• Chapter 9: Hypothesis Testing - Single Mean and Single Proportion
• Chapter 10: Hypothesis Testing - Two Means, Two Proportions, Paired Data
• Chapter 11: The Chi-Square Distribution
• Chapter 12: Linear Regression and Correlation

## Calculator instructions

The following module contains a number of resources related to the TI-83 calculator and ways it can be used with the Collaborative Statistics textbook and curriculum. This resource addresses many different function on the calculator, including calculation of the outliers, discrete mean, standard deviation, and random numbers.

• View the TI-83 Calculator Resources

can someone help me with some logarithmic and exponential equations.
20/(×-6^2)
Salomon
okay, so you have 6 raised to the power of 2. what is that part of your answer
I don't understand what the A with approx sign and the boxed x mean
it think it's written 20/(X-6)^2 so it's 20 divided by X-6 squared
Salomon
I'm not sure why it wrote it the other way
Salomon
I got X =-6
Salomon
ok. so take the square root of both sides, now you have plus or minus the square root of 20= x-6
oops. ignore that.
so you not have an equal sign anywhere in the original equation?
Commplementary angles
hello
Sherica
im all ears I need to learn
Sherica
right! what he said ⤴⤴⤴
Tamia
what is a good calculator for all algebra; would a Casio fx 260 work with all algebra equations? please name the cheapest, thanks.
a perfect square v²+2v+_
kkk nice
algebra 2 Inequalities:If equation 2 = 0 it is an open set?
or infinite solutions?
Kim
The answer is neither. The function, 2 = 0 cannot exist. Hence, the function is undefined.
Al
y=10×
if |A| not equal to 0 and order of A is n prove that adj (adj A = |A|
rolling four fair dice and getting an even number an all four dice
Kristine 2*2*2=8
Differences Between Laspeyres and Paasche Indices
No. 7x -4y is simplified from 4x + (3y + 3x) -7y
is it 3×y ?
J, combine like terms 7x-4y
im not good at math so would this help me
yes
Asali
I'm not good at math so would you help me
Samantha
what is the problem that i will help you to self with?
Asali
how do you translate this in Algebraic Expressions
Need to simplify the expresin. 3/7 (x+y)-1/7 (x-1)=
. After 3 months on a diet, Lisa had lost 12% of her original weight. She lost 21 pounds. What was Lisa's original weight?
what's the easiest and fastest way to the synthesize AgNP?
China
Cied
types of nano material
I start with an easy one. carbon nanotubes woven into a long filament like a string
Porter
many many of nanotubes
Porter
what is the k.e before it land
Yasmin
what is the function of carbon nanotubes?
Cesar
what is nanomaterials​ and their applications of sensors.
what is nano technology
what is system testing?
preparation of nanomaterial
Yes, Nanotechnology has a very fast field of applications and their is always something new to do with it...
what is system testing
what is the application of nanotechnology?
Stotaw
In this morden time nanotechnology used in many field . 1-Electronics-manufacturad IC ,RAM,MRAM,solar panel etc 2-Helth and Medical-Nanomedicine,Drug Dilivery for cancer treatment etc 3- Atomobile -MEMS, Coating on car etc. and may other field for details you can check at Google
Azam
anybody can imagine what will be happen after 100 years from now in nano tech world
Prasenjit
after 100 year this will be not nanotechnology maybe this technology name will be change . maybe aftet 100 year . we work on electron lable practically about its properties and behaviour by the different instruments
Azam
name doesn't matter , whatever it will be change... I'm taking about effect on circumstances of the microscopic world
Prasenjit
how hard could it be to apply nanotechnology against viral infections such HIV or Ebola?
Damian
silver nanoparticles could handle the job?
Damian
not now but maybe in future only AgNP maybe any other nanomaterials
Azam
can nanotechnology change the direction of the face of the world
At high concentrations (>0.01 M), the relation between absorptivity coefficient and absorbance is no longer linear. This is due to the electrostatic interactions between the quantum dots in close proximity. If the concentration of the solution is high, another effect that is seen is the scattering of light from the large number of quantum dots. This assumption only works at low concentrations of the analyte. Presence of stray light.
the Beer law works very well for dilute solutions but fails for very high concentrations. why?
how did you get the value of 2000N.What calculations are needed to arrive at it
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