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Syllabus for STAB22H3 Caren Hasler, Mahinda Samarakoon

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redhorse12
19 Jan 2022
School
UTSC
Department
Statistics
Course
STAB22H3
Professor
Caren Hasler, Mahinda Samarakoon

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STAB22H3 Full Course Notes
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STAB22H3 Full Course Notes
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Document Summary

Course description: statistics is the science of collecting, organizing and in- terpreting data. In science, society and everyday life, people use data to help them understand the world and choose how to act, and statistical methods help to separate sense from nonsense. In this course, we learn about some of the most important techniques used in statistical work. The emphasis of this course is on concepts and techniques and will be useful to students who seek to gain an understanding of the use of statistics in their own eld. Our ultimate goal is to gain understanding from data, going from data collection to analysis to conclusions. Content, emphasis, etc. of the course is de ned by means of the lecture ma- terial - not only the textbook. It is important to attend all lectures, as there is normally no simple way to make up for missed lectures (perhaps obtain another student"s notes).

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Related Questions

One term, about 700 Statistics 2 students at the University of California, Berkeley, were asked how many college mathematics courses they had taken, other than Statistics 2. The average number of courses was about 1.1; the SD was about 1.5. Would the histogram for the data look like (i), (ii) or (iii)?

(i)

(ii)

(iii) 

The percent of science students (other than students in Mathematics and Statistics) who are doing a minor in statistics is 20%. If 300 students are selected what is the approximate probability that a) more than 150 are taking a minor in statistics b) between 40 and 70 are taking a minor in statistics c) exactly 50 are taking a minor in statistics. 

Which of the following is NOT a misuse of statistics? Choose the correct answer below.

A.) Utilizing valid statistical methods and correct sampling techniques

B.) Concluding that a variable causes another variable because they have some correlation

C.) Misleading graphs

D.) Making conclusions about a population based on a voluntary response sample