Comprehensive study of measures of central tendency, variation, probability, the normal distribution, sampling, estimation, confidence intervals, and hypothesis testing. Introduction to use of technology in statistics. Real-life problems are used to illustrate methods. Weekly lab. Not open to students who have completed or are currently enrolled in PSYC 201, BIO 368, MATH 150, or any Mathematics course above 200. (Text extracted from the online course catalog http://oxy.smartcatalogiq.com/en/2019-2020/Catalog/Course-Descriptions/COMP-Computer-Science/100/COMP-146).
Statistics is the methodology for “collecting, analyzing, interpreting and drawing conclusions (or inferences) from data”. Putting it in other words, statistics is the methodology that researchers have developed for interpreting and drawing conclusions from collected data. There are two major types of statistics. The branch of statistics concerned about summarization and description of data is called descriptive statistics and the branch of statistics concerned with using sample data to make an inference about a population of data is called inferential statistics. We need both in statistics and we will study both this semester.
Some of the questions to consider are:
· What data should be collected, and how?
· What are some effective ways of summarizing data and present them?
· What methods of inference should we use, and how accurate and reliable are these methods?
The main objective of this course is to give you a better understanding of how to use statistics as a research/investigation tool. You should be able by the end of the semester to read a research paper or article and use your statistics critical thinking to analyze it using what you have learnt. You will also learn statistics techniques/methods but they are not replacing your critical judgement of the results of a survey or any analyses presented to you (even mine).
Statistics is used in a wide range of domains (economic, politic, scientific etc.).This course is not a maths course. Even if we use math as a mean to analyze data (e.g. probability), it is not the main purpose of this course. Statistical thinking process is the main goal of this course.
- Professor: Gabriel Freiman