ST 201 * We aren't endorsed by this school

# ST 201 PRINCIPLES OF STATISTICS

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• ##### Professor:
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JulianneMoore, katiejager, Chu,U., Moore,J., Schutfort,J., Katie Jeger, Faraz Niyaghi, Katei Jager
• Average Course Rating (from 2 Students)

4.0/5
###### Overall Rating Breakdown
• 2 Advice
• 5
0%
• 4
100%
• 3
0%
• 2
0%
• 1
0%
• Course Difficulty Rating

• Easy 0%

• Medium 50%

• Hard 50%

• Top Course Tags

Great Intro to the Subject

Always Do the Reading

Math-heavy

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Dec 20, 2016
| Would recommend.

This class was tough.

Course Overview:

Statistics is a great way to predict an outcome by sampling a population. Inference from a statistic can offer an understanding on the general trend of a population. It is often hard to understand a given factor within a total population, the total population is often too big to measure in its entirety. Statistics gives the ability to look at a smaller size from a population and adjust for inconsistencies, which gives you the best possible results within the population.

Course highlights:

I learned that samples are a great way to understand the basic factors of a total population. By understanding the trends through sampling you will be able to infer these finding to an entire population, this allows you to understand a population without the need test or sample the entire population. Suppose you want the average weight of African Elephants, you cant weigh all the African Elephants, so you take a sample and infer it to the total population of Elephants. Its a great tool to have

Hours per week:

6-8 hours

Advice for students:

Statistics builds off itself week after week, stay current each week because it would be very easy to fall behind. Failure to understand the lessons and expectations from one week to another will make learning and understanding the following week near impossible. ST201 is a progression, you must progress with the expectations if you hope to pass.

• Fall 2016
• Katie Jeger
• Yes
• Math-heavy Great Intro to the Subject Always Do the Reading
Mar 30, 2016
| Would recommend.

Not too easy. Not too difficult.

Course Overview:

Julie was a great professor and explained stats in an easily understandable way.

Course highlights:

I learned a lot more about p-values and t-statistics than I had before, and the professor was really funny.

Hours per week:

0-2 hours

Advice for students:

Attend class and the homework will be easy. Go to the TA's if you need extra assistance.

• Winter 2016
• JulianneMoore
• Yes
• Great Intro to the Subject

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