Math 247 Fall 2021 (CRN 74676) Intro to Stats Welcome Letter: Math 247 Intro to Statistics Welcome Letters: Michelle Kaul's Portfolio

Math 247 Fall 2021 (CRN 74676) Intro to Stats Welcome Letter

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Math 247: Introduction to Statistics

Instructor: Michelle Kaul

*This course begins on August 16^th and course materials/resources will be posted on the course canvas site by Monday August 16^th. Attendance is recommended to the first introduction Zoom class scheduled for 11 am on August 17^th! Zoom participation weekly class meets will be recorded and posted for those unable to make them.

Greetings Students!

Welcome to the spring online version of introductory statistics here at Cuesta College. I look forward to instructing you through this fully online course introducing the fascinating world of statistics! There is a wealth of “statistical information” online that we will incorporate to supplement our lecture material, text, and software for this class. This course will be an online interactive course and it is my goal to help each of you succeed in it using our Canvas course platform. This class requires you to dedicate 10-15 hours per week for optimum success. Since it is online, you can set your work times that best suit you, join Zoom meets and come to student office hours when you can, but you will need to check the course site often for weekly announcements, new weekly modules and material, and turn in assignments on the scheduled due dates! There is no mandatory meeting times but participation points will be awarded for Zoom meets and discussion assignments. Please read the important information below concerning this class and be sure to read through the syllabus, which will be available on our Canvas course site, our online learning platform for this course when fall classes begin.

Contact Information

Email: mkaul@cuesta.edu (can be accessed through Canvas inbox)

The way to contact me is through email. On weekdays, I typically respond back within 24 hours. On occasion or on weekends, it may take longer depending on the volume I need to respond to. If I do not respond immediately and it is urgent, please send another email to be sure I know it is pressing or that your information did not get lost in the black hole of emails. Email is set up in Canvas so you can easily contact me through our course site. Please use your Cuesta email since this is your online identity for this course. In an emergency, you can also contact our division assistant by phone, 805 546 3231. Please do not contact me through the campus phone system since I do use the office phone.

Zoom Participatory Class Meet Times: Tuesdays: 11 -12

Student Hours (Office Hours): Zoom Thursdays 10:45-11:45, end of Tuesday class Zoom meets, and by appointment using Zoom.

Online Course Access/ Personal Website: Cuesta Course Canvas Site (on occasion: www.kaulspace.com)

Prerequisite

Math 127 or 128 or 126 B or equivalent with a grade C or better.This class will require some necessary algebra skills but statistics differs from traditional algebraic formats, including more reading and analysis if data, which we will introduce. This is a transferable course: CSU/UC

Required Materials/Course Requirements

Textbook: Introductory Statistics, 3^rd Edition, by Gould, Wong, and Ryan, ISBN-13:978- 0135188927, ISBN-10:013518892X (available through Cuesta bookstore with price matching guarantee).

Note: ebooks are permissible and textbooks can also be rented instead on Amazon or Chegg for lower prices. You do not need any software or access codes.

StatCrunch Statistical Software: Available for $15 for the year online and free vouchers available through student success center once semester starts.

Calculator: A scientific calculator is required (online versions will suffice).

Computer and Web Access: Please visit the Cuesta distance education pageLinks to an external site. to review all computer requirements for online classes.

Canvas: Access required and provided by Cuesta when registered with this class.

Scanning App: Students will be required to scan some documents, convert them to pdf format, and upload them into their Canvas assignments to be graded. There are many free scanning apps such as AdobeScan, Genius Scan, Cam Scanner, Pages, and more! I will list these and others on our course Canvas site.

Computer Access/Resources/Info

This online learning for this course will be facilitated using the “Web-based Learning Management System”, Canvas, which will be used to access class resources such as files, weekly modules with lectures and class material, videos, assignments, quizzes, homework/projects, web resources, simulations, class discussions, grades, and allow you to chat with the instructor and other students. Additional information will be provided for you on the Canvas site for this course.
You must use your official Cuesta College email address, yourID@my.cuesta.edu, for online interactions which is given to you by the college when you register for this course.
Instructions for accessing Canvas courses and general online distance learning information can be found here: Cuesta Distance Education and Getting Started with CanvasLinks to an external site.
Recommended browsers for this online course are Firefox or Chrome. Please review the browser requirements and minimum computer specifications in the link provided above.
For any technical issues related to accessing Cuesta's Canvas Site, please email: support@my.cuesta.edu. Also, you can contact the Canvas Support Hotline at (877) 921-7680 or click on the help button on the Canvas Navigation to report a problem.

Online Instruction Delivery

The instruction for this course will be a mix of zoom lectures/interactions, videos, power points presentations (some with audio lecture), online problem solving, statistical software usage, skill building projects/homework, and general discussion board topics, all of which can be accessed under modules (set up for each week) and pages for individual topics in Canvas Chapter homework from the text will also be assigned to reinforce and practice course material. Quiz/exam material will be based on homework assigned, all stemming from lecture/course content available on our Canvas site. Also, we will make use of the discussion board on Canvas to interact as a class and do some group work during zoom meets (TBA). This is great platforms to use for questions/answers pertaining to class material!

Course Description

This course will teach you techniques for analyzing data, for making inferences based on your analysis, and for determining the reliability of your inferences. It will also make you aware of some of the pitfalls and misuses of statistical analysis. The topics we will cover include: Descriptive statistics, Probability, Probability distribution, Sampling distributions, Point and interval estimations, Tests of hypothesis, Chi-Square Analysis for Goodness of Fit, Analysis of variance, and Linear Regression. For the official course description and course outline of record please go to Cuesta Course Lists and Summaries.

Student Learning Outcomes

At the end of this course students will be able to

Calculate summary measures including point and interval estimators of population parameters and interpret them.
Calculate probabilities for various experiments including experiments where counting formulas are required.
Describe sampling variability and how it applies to a real-world estimation problem.
Perform a hypothesis test to answer a specific research question and interpret the results.
Calculate and interpret measures of association between two variables.

Course Assignments/Grading

Quizzes: 200 points (40 points each, 5 total, held approximately every 3rd Thursday)

Homework/Assignments/Projects: 110 points

Participation/Discussions: 30 points

Final Exam: 60 points

= Course Total Points: 400 points

Note: Assignment Descriptions will be discussed and available on the course syllabus first day of class. Quizzes/Exams will be available to take anytime from morning till midnight on the day assigned with an approximate two hour window to take.

Grading Scheme: (based on percentage, for example, 340 points out of 400 = 85% = B)

A [90, $\infty$ ), B [80,90), C [70, 80), D [60, 70), F (- $\infty$ , 60)

Important Dates

Final Exam 12/16 (Cuesta Finals Week). The final will be open for a 24 hour period on this day which you can schedule and take your exam during a convenient 3 hour time period.

Important Online Course Expectations

Online classes require just as much work, if not more, than in person classes. It is important that you keep up with assignments, spend at least the recommended minimum time outside of class time. For optimum success, I would suggest 10-15 hours set aside to work on this class.

As an online student you will be responsible for:

Checking your email regularly for any information regarding this class.
Checking and reading class announcements made through Canvas for important information/updates/changes.
Keeping up with the weekly modules.
Keeping up with online scheduled assignments and quizzes.
Keeping up with new lecture, course material, and class posts (new material will be posted on a regular basis). It is important you do not fall behind on the material in a quick paced summer course!
Making sure you upload and submit assignments that are accessible/legible to me (pdf format for most).
Turn in assignments in a timely manner and prepare to have enough time to upload/download material.
Communicate – contact me with any questions/concerns about the course with me!

Drop and Withdraw Policy

Since participation is important in this course, students must continually participate in order to stay in the class. Students who continually turn in assignments late, or who miss a significant number of assignments will be dropped if this occurs before the "W" date. If you decide to withdraw, use the link below to follow the college protocol:

Cuesta Drop PolicyLinks to an external site.

General Cuesta Policies

You are required to interact in this online course in a professional manner. We will adhere to college policy in all matters of conduct. Academic honesty is upheld and cheating/copying work from other students will not be tolerated and can result in a F. Please refer to the guidelines and policies listed in the college student handbook, Cuesta HandbookLinks to an external site. .

Students with Disabilities

If you have or believe you have a disability that could affect your learning or participation in this course, please contact me and contact DSPS at 805 546–3148 as soon as possible. They will provide any necessary accommodations and notify me of how best to work with your needs. This course is designed to be ADA compliant and any adjustments to better accommodate you can be made. DSPS information can be found at the DSPS WebsiteLinks to an external site.

Special Notes

It is my goal to see that you succeed in this course. Please reach out to me regarding any questions/concerns you have about this course – communication is key in successfully completing online courses. Also, please take note of the final exam date and make sure that it does not conflict with any other classes you are taking. If there is an exam conflict or if for some extreme reason you cannot make this date, contact me within the first two weeks of class to make arrangements. Otherwise, the final exam date will not be changed and cannot be made-up.

Most importantly - have fun and stay curious! There is a lot of fascinating skills you can develop in statistics you can apply to so many everyday circumstances and career fields! Don't just be a statistic - know your stat!

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[{:section_type=>"rich_text", :content=>"<div id=\"page_content\" class=\"ui-sortable\">\n<div id=\"page_section_0\" class=\"section \">\n<div class=\"section_content\">\n<div id=\"page_content\" class=\"ui-sortable\">\n<div id=\"page_section_0\" class=\"section \">\n<div class=\"section_content\">\n<h2>Math 247:&nbsp; Introduction to Statistics </h2>\n<h3>Instructor:&nbsp; Michelle Kaul</h3>\n*This course begins on August 16th and course materials/resources will be posted on the course canvas site by Monday August 16th.&nbsp; Attendance is recommended to the first introduction Zoom class scheduled for 11 am on August&nbsp; 17th!&nbsp; Zoom participation weekly class meets will be recorded and posted for those unable to make them. \n<h3>Greetings Students!</h3>\nWelcome to the spring online version of introductory statistics here at Cuesta College. I look forward to instructing you through this fully online course introducing the fascinating world of statistics!&nbsp; There is a wealth of “statistical information” online that we will incorporate to supplement our lecture material, text, and software for this class.&nbsp; This course will be an online interactive course and it is my goal to help each of you succeed in it using our Canvas course platform.&nbsp; This class requires you to dedicate 10-15 hours per week for optimum success. Since it is online, you can set your work times that best suit you, join Zoom meets and come to student office hours when you can,&nbsp; but you will need to check the course site&nbsp; often for weekly announcements, new weekly modules and material, and turn in assignments on the scheduled due dates!&nbsp; There is no mandatory meeting times but participation points will be awarded for Zoom meets and discussion assignments.&nbsp; Please read the important information below concerning this class and be sure to read through the syllabus, which will be available on our Canvas course site, our online learning platform for this course when fall classes begin.\n<h3>Contact Information</h3>\nEmail:&nbsp; <a href=\"mailto:mkaul@cuesta.edu\" target=\"_blank\">mkaul@cuesta.edu&nbsp;</a>(can be accessed through Canvas inbox)\n The way to contact me is through email.&nbsp; On weekdays, I typically respond back within 24 hours.&nbsp; On occasion or on weekends, it may take longer depending on the volume I need to respond to.&nbsp; If I do not respond immediately and it is urgent, please send another email to be sure I know it is pressing or that your information did not get lost in the black hole of emails.&nbsp; Email is set up in Canvas so you can easily contact me through our course site.&nbsp; Please use your Cuesta email since this is your online identity for this course.&nbsp;&nbsp; In an emergency, you can also contact our division assistant by phone, 805 546 3231.&nbsp; Please do not contact me through the campus phone system since I do use the office phone. \n&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Zoom Participatory Class Meet Times:&nbsp; Tuesdays:&nbsp; 11 -12 \nStudent Hours (Office Hours):&nbsp; Zoom Thursdays 10:45-11:45, end of Tuesday class Zoom meets, and &nbsp;by appointment using Zoom.\nOnline Course Access/ Personal Website:&nbsp; Cuesta Course Canvas Site (on occasion: <a class=\"external\" href=\"http://www.kaulspace.com/\" target=\"_blank\">www.kaulspace.com</a>)\n<h3>Prerequisite</h3>\nMath 127 or 128 or 126 B or equivalent with a grade C or better.This class will require some necessary algebra skills but statistics differs from traditional algebraic formats, including more reading and analysis if data, which we will introduce.&nbsp; This is a transferable course:&nbsp; CSU/UC\n<h3>Required Materials/Course Requirements</h3>\nTextbook: Introductory Statistics, 3rd Edition, by Gould, Wong, and Ryan, ISBN-13:978-&nbsp;&nbsp;&nbsp; 0135188927, ISBN-10:013518892X (available through Cuesta bookstore with price matching guarantee).\n&nbsp;Note:&nbsp; ebooks are permissible and textbooks can also be rented instead on Amazon or Chegg for lower prices.&nbsp; You do not need any software or access codes.\nStatCrunch Statistical Software:&nbsp; Available for $15 for the year online and free vouchers available through student success center once semester starts.\nCalculator:&nbsp; A scientific calculator is required (online versions will suffice).\n&nbsp;Computer and Web Access:&nbsp; Please visit the <a class=\"inline_disabled external\" href=\"https://www.cuesta.edu/academics/distance/index.html\" target=\"_blank\">Cuesta distance education pageLinks to an external site.</a> to review all computer requirements for online classes.\n&nbsp;Canvas:&nbsp; Access required and provided by Cuesta when registered with this class.\n&nbsp;Scanning App:&nbsp; Students will be required to scan some documents, convert them to pdf format, and upload them into their Canvas assignments to be graded.&nbsp; There are many free scanning apps such as AdobeScan, Genius Scan, Cam Scanner, Pages, and more!&nbsp; I &nbsp;will list these and others on our course Canvas site.\n<h3>Computer Access/Resources/Info</h3>\n<ul>\n<li>This online learning for this course will be facilitated using the “Web-based Learning Management System”, Canvas, which will be used to access class resources such as files, weekly modules with lectures and class material, videos, assignments, quizzes, homework/projects, web resources, simulations, class discussions, grades, and allow you to chat with the instructor and other students.&nbsp; Additional information will be provided for you on the Canvas site for this course.</li>\n<li>You must use your official Cuesta College email address, yourID@my.cuesta.edu, for online interactions which is given to you by the college when you register for this course.</li>\n<li>Instructions for accessing Canvas courses and general online distance learning information can be found here: <a class=\"inline_disabled external\" href=\"https://www.cuesta.edu/academics/distance/index.html\" target=\"_blank\">Cuesta Distance Education and Getting Started with CanvasLinks to an external site.</a></li>\n<li>Recommended browsers for this online course are Firefox or Chrome. Please review the browser requirements and minimum computer specifications in the link provided above.</li>\n<li>For any technical issues related to accessing Cuesta's Canvas Site, please email:&nbsp;<a href=\"mailto:support@my.cuesta.edu\">support@my.cuesta.edu</a>.&nbsp; Also, you can contact the Canvas Support Hotline at (877) 921-7680 or click on the help button on the Canvas Navigation to report a problem.&nbsp;</li>\n</ul>\n<h3>Online Instruction Delivery</h3>\n&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; The instruction for this course will be a mix of zoom lectures/interactions, videos, power points presentations (some with audio lecture), online problem solving, statistical software usage, skill building projects/homework, and general discussion board topics, all of which can be accessed under modules (set up for each week) and pages for individual topics &nbsp;in Canvas&nbsp;&nbsp; Chapter homework from the text will also be assigned to reinforce and practice course material. &nbsp;Quiz/exam material will be based on homework assigned, all stemming from lecture/course content available on our Canvas site. &nbsp;Also, we will make use of the discussion board on Canvas to interact as a class and do some group work during zoom meets (TBA).&nbsp; This is great platforms to use for questions/answers pertaining to class material!&nbsp;\n<h3>Course Description</h3>\nThis course will teach you techniques for analyzing data, for making inferences based on your analysis, and for determining the reliability of your inferences.&nbsp; It will also make you aware of some of the pitfalls and misuses of statistical analysis.&nbsp; The topics we will cover include:&nbsp; Descriptive statistics, Probability, Probability distribution, Sampling distributions, Point and interval estimations, Tests of hypothesis, Chi-Square Analysis for Goodness of Fit, Analysis of variance, and Linear Regression.&nbsp; For the official course description and course outline of record please go to&nbsp;<a class=\"inline_disabled external\" href=\"http://www.curricunet.com/Cuesta/search/course/Links%20to%20an%20external%20site.\" target=\"_blank\">Cuesta Course Lists and Summaries.</a> \n<h3>Student Learning Outcomes</h3>\nAt the end of this course students will be able to\n<ol>\n<li>Calculate summary measures including point and interval estimators of population parameters and interpret them.</li>\n<li>Calculate probabilities for various experiments including experiments where counting formulas are required.</li>\n<li>Describe sampling variability and how it applies to a real-world estimation problem.</li>\n<li>Perform a hypothesis test to answer a specific research question and interpret the results.</li>\n<li>Calculate and interpret measures of association between two variables.</li>\n</ol>\n<h3>Course Assignments/Grading</h3>\n&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Quizzes:&nbsp; 200 points (40 points each, 5 total, held approximately every 3rd Thursday)\n&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Homework/Assignments/Projects:&nbsp; 110 points\n&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Participation/Discussions:&nbsp; 30 points\n&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Final Exam:&nbsp; 60 points\n&nbsp; &nbsp;= Course Total Points:&nbsp; 400 points\nNote:&nbsp; Assignment Descriptions will be discussed and available on the course syllabus first day of class.&nbsp; Quizzes/Exams will be available to take anytime from morning till midnight on the day assigned with an approximate two hour window to take. \n<h4>Grading Scheme:&nbsp; (based on percentage, for example, 340 points out of 400 = 85% = B)</h4>\n&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; A [90, <mi mathvariant=&quot;normal&quot;>&amp;#x221E;</mi></math>\">∞<mi mathvariant=&quot;normal&quot;>&amp;#x221E;</mi></math>\">∞<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">∞</mi></math>\n\n ), B [80,90), C [70, 80), D [60, 70), F (-<mi mathvariant=&quot;normal&quot;>&amp;#x221E;</mi></math>\">∞<mi mathvariant=&quot;normal&quot;>&amp;#x221E;</mi></math>\">∞<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mi mathvariant=\"normal\">∞</mi></math>\n\n , 60)&nbsp;\n</div>\n</div>\n</div>\n</div>\n</div>\n</div>\n<h3>Important Dates</h3>\n<ul>\n<li> Final Exam 12/16 (Cuesta Finals Week).&nbsp; The final will be open for a 24 hour period on this day which you can schedule and take your exam during a convenient 3 hour time period.</li>\n</ul>\n<h3>Important Online Course Expectations</h3>\n&nbsp;Online classes require just as much work, if not more, than in person classes.&nbsp; It is important that you keep up with assignments, spend at least the recommended minimum time outside of class time.&nbsp; For optimum success, I would suggest 10-15 hours set aside to work on this class.\nAs an online student you will be responsible for:\n<ul>\n<li>Checking your email regularly for any information regarding this class.</li>\n<li>Checking and reading class announcements made through Canvas for important information/updates/changes.</li>\n<li>Keeping up with the weekly modules.</li>\n<li>Keeping up with online scheduled assignments and quizzes.</li>\n<li>Keeping up with new lecture, course material, and class posts (new material will be posted on a regular basis). It is important you do not fall behind on the material in a quick paced summer course!</li>\n<li>Making sure you upload and submit assignments that are accessible/legible to me (pdf format for most).</li>\n<li>Turn in assignments in a timely manner and prepare to have enough time to upload/download material.</li>\n<li>Communicate – contact me with any questions/concerns about the course with me!</li>\n</ul>\n<h3>Drop and Withdraw Policy</h3>\nSince participation is important in this course, students must continually participate in order to stay in the class.&nbsp; Students who continually turn in assignments late, or who miss a significant number of assignments will be dropped if this occurs before the \"W\" date. If you decide to withdraw, use the link below to follow the college protocol:\n<a class=\"inline_disabled external\" href=\"https://www.cuesta.edu/student/studentservices/admrreg/arpolicies/dropcourse.html\" target=\"_blank\">Cuesta Drop PolicyLinks to an external site.</a>\n<h3>&nbsp;General Cuesta Policies</h3>\nYou are required to interact in this online course in a professional manner.&nbsp; We will adhere to college policy in all matters of conduct.&nbsp; Academic honesty is upheld and cheating/copying work from other students will not be tolerated and can result in a F.&nbsp; Please refer to the guidelines and policies listed in the college student handbook, <a class=\"inline_disabled external\" href=\"http://academic.cuesta.edu/handbook/\" target=\"_blank\">Cuesta HandbookLinks to an external site.</a> .\n<h3>Students with Disabilities</h3>\n<h4>If you have or believe you have a disability that could affect your learning or participation in this course, please contact me and contact DSPS at 805 546–3148 as soon as possible. They will provide any necessary accommodations and notify me of how best to work with your needs.&nbsp; This course is designed to be ADA compliant and any adjustments to better accommodate you can be made.&nbsp; DSPS information can be found at the&nbsp;<a class=\"inline_disabled external\" href=\"http://www.cuesta.edu/student/studentservices/dsps/dsps_services.html\" target=\"_blank\">DSPS WebsiteLinks to an external site.</a></h4>\n<h3>Special Notes</h3>\n<h4>It is my goal to see that you succeed in this course.&nbsp; Please reach out to me regarding any questions/concerns you have about this course – communication is key in successfully completing online courses.&nbsp;&nbsp; Also, please take note of the final exam date and make sure that it does not conflict with any other classes you are taking.&nbsp; If there is an exam conflict or if for some extreme reason you cannot make this date, contact me within the first two weeks of class to make arrangements.&nbsp; Otherwise, the final exam date will not be changed and cannot be made-up.</h4>\nMost importantly - have fun and stay curious!&nbsp; There is a lot of fascinating skills you can develop in statistics you can apply to so many everyday circumstances and career fields!&nbsp; Don't just be a statistic - know your stat!"}]

Rich Text Content

Michelle Kaul's Portfolio