Welcome to Statistics I - Fall 2023!

Welcome to Professor Baker's Math Class! I am excited to guide you through the fascinating world of statistics this semester. This page will be your central hub for everything related to the course. Here you'll find easy access to all the resources you need.

Course Resources

  • Class Syllabus: Review the syllabus for important information on course objectives, grading policies, and required materials.
  • Hawkes Learning Help: Get assistance with using the Hawkes Learning system for homework and accessing the textbook.
  • Google Meet Link: Join our virtual class meetings and office hours.
  • Notes from Class: Access lecture notes and other important documents to reinforce your understanding of the material.

Class Syllabus Highlights

Our course, MATH 1200 Statistics I, covers fundamental concepts in both descriptive and inferential statistics. We'll explore probability, probability distributions, and how to use statistical software.

Key topics include:

  • Descriptive Statistics: Population versus sample, frequency distributions, measures of central tendency (mean, median, mode), measures of variation (standard deviation, variance), measures of position (percentiles, quartiles), and correlation and linear regression.
  • Inferential Statistics: Confidence intervals and hypothesis testing.

Remember, the problem-solving process in statistics involves:

  1. Formulating a problem involving data collection.
  2. Collecting the necessary data.
  3. Performing statistical analysis.
  4. Interpreting the results in a meaningful way.

Understanding data types is crucial; the appropriate analysis and interpretation depend on how the data is collected. Descriptive statistics help summarize data characteristics through measures of center and variability, and graphical displays.

Hawkes Learning

Hawkes Learning is an important part of this course for completing assignments. Be sure to review the syllabus tab within Hawkes for detailed instructions. If you need help, please don't hesitate to ask during office hours or contact me via email.

Google Meet Link

The Google Meet link for our class sessions is [Insert Google Meet Link Here]. Please use this link to attend all scheduled virtual meetings and office hours.

Class Notes

Below are the notes covered in class.

We will be covering various topics from descriptive statistics to inferential statistics. For example, we will learn how to calculate the $z$-score, which is defined as:

$$z = \frac{x - \mu}{\sigma}$$

Where $x$ is the observed value, $\mu$ is the population mean, and $\sigma$ is the population standard deviation. The $z$-score tells us how many standard deviations away from the mean a particular data point is.

We will also learn about hypothesis testing. The general formula for a test statistic is:

$$ \text{Test Statistic} = \frac{\text{Sample Statistic} - \text{Population Parameter}}{\text{Standard Error}} $$

I am looking forward to a productive and successful semester. Remember to stay engaged, ask questions, and utilize all the resources available to you. Let's make this a great learning experience!