This class is completely asynchronous for the next 16 weeks. What that means is that we will not have any face-to-face meeting times (except in office hours, if needed). Every week, there will be a module filled with lecture notes, lecture videos, discussion boards, and quizzes. All quizzes and discussions will be due on Friday, with a chance to resubmit for a better grade during the weekend. The following Monday will be the deadline for resubmission.
Our first day of class is January 30th but our Canvas shell will be available one week prior in case you want to take a sneak peek and get a head start. The expectation is that you log in everyday, if possible to get an idea of what the workload is like that week. I will be posting announcements and reminders when due dates are coming up!
I welcome any student question no matter how silly you may think it is. Chances are, other students have the same exact question. The best way to reach me is by email at jubernal@sdccd.edu. If I do not respond within 24 hours, feel free to resend the email to put it on the top of my email list. I typically will respond within those 24 hours. During the weekends, you may have to wait until Monday but send the email anyway! I do sometimes check on Sundays!
If you need additional assistance or need to meet with me, here are some ways we can do that:
In Person: My office is in the Math & Science building in room MS 215S (Second Floor). Make sure you reach out via email first to schedule an appointment.
ZOOM: We can meet during ZOOM if you cannot come to campus. Think of ZOOM as a way to video chat online. Access my ZOOM office!
As you maneuver our Canvas page, there will be a couple things due the first week:
Orientation Module: This includes the Syllabus Quiz, About Me discussion board, and the Math 119 Survey.
Sampling Methods Discussion Board
Create your own observational study or experiment
Quiz 1
We do not have an official text for the book. The lecture notes that I have provided are sufficient for your success. If you do need a textbook, it will be available at the top of the Modules Page under "Extra Resources."
Make sure you have your calculator (TI 36X Pro or graphing calculator)
I will be present in your learning experience
I will reply within a 24 hour period with emails and feedback
Materials will be clear and concise and not made to confuse you
I will create a positive environment for you to ask questions and feel welcomed
Will respectively accept feedback on the course on what is working and what is not
I will be flexible with you! I understand life happens and we all need grace!
Be respectful to me and your peers
Provide meaningful discussion with your peers and provide positive feedback
Create a routine that best works for you! Try to at least log in a minimum of 10 hours per week, watching videos and doing assignments and activities
Uphold academic integrity
Learn from your mistakes! There will be opportunity to make up work after some appropriate feedback so take advantage of that!
Come in with a positive attitude! I know that every day will be different but attitude makes a difference and try to be excited even if you are faking it.
Trust me and the process. Math is a difficult subject but I hope you trust me enough to get the support you need.
Teaching you is what I am here to do and your success is very important to me. My teaching philosophy has revolved around collaboration so exchange of knowledge and discussions with other students will be very important and essential in this class. I want you to learn from one another and see how everyone thinks because there is an asset to diversity and different ways of thinking.
I don't want you to feel alone in this journey; everyone in this class in on the same boat and I want you to grab each other with your virtual hand run to the finish line. So, let's build this community of learners and finish til the end!
Try to start early! I open up the new module every Saturday for you to start watching some of the lecture videos.
Have the assignments next to you in one tab while you are watching the videos. As I go through some problems in the videos, scan through the assignments and see if you encounter a similar example.
Get a planner and make a schedule! This can be online or a physical planner. Plan out your day and try to fit it at least one hour of math everyday, if you can.
Remember that all quizzes can be redone an unlimited number of times. Reach out to me if you feel there may be a mistake or you feel confident in an answer.
Work together. I made a discord for the class so that you guys can collaborate. You can view it on the Canvas Modules at the very top.
If at any point you feel lost, go to the open discussion Q&A. Drop in a question or upload a picture of your work so we can all help you.
I have office hours every Friday on ZOOM. I am here to support you! If you cannot attend, let's schedule something that can work for you.
COURSE LEARNING OBJECTIVES
1. Organize qualitative and quantitative data into meaningful charts and graphs.
2. Evaluate measures of location, central tendency and variation of data and probability distribution.
3. Analyze data by implementing various scales of measurements and formalize results based on statistical procedures.
4. Evaluate probabilities using a variety of computational methods.
5. Analyze various discrete and continuous probability density functions, and use these to generate cumulative probability distribution functions, emphasizing the expected value and variance of the corresponding random variables.
6. Apply the appropriate probability distribution functions including the binomial, the normal, the Chi-Squared and the t-distributions, to calculate probabilities of random variable values in prescribed ranges.
7. Identify the standard methods of obtaining data and identify advantages and disadvantages of each. 8. Apply the Central Limit Theorem to sampling distributions.
9. Calculate confidence intervals using test statistics to determine the level of significance of the mean, the variance, and the sample proportion.
10. Formulate hypothesis tests discussing the differences between Type I and Type II errors.
11. Perform hypothesis tests for various random variables including means, one and two-sample proportions, and variance.
12. Evaluate correlation to determine the corresponding linear regression between two sets of data.
13. Apply ANOVA analysis of estimation and inference, and interpret corresponding statistics.
COURSE LEARNING OUTCOMES
1. Given a variety of situations, students will identify the appropriate hypothesis test.
2. Utilize the correct procedure to conduct a hypothesis test and communicate in words the results of a hypothesis test.
Need Assistance or more support? We are here to help!
Canvas Support:
Canvas 24/7 Support for Mesa Students: 1-844-612-7421
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