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Methods of data analysis.stat511

Methods of data analysis. Fall 2014. Oregon State University. MWF 1000-1050 Cordley 1109. Milne Computing Center 201. Charlotte Wickham, 76 Kidder. Charlotte.wickham@stat.oregonstate.edu. Weds 1500-1650 Cordley 3003. Fri 1100-1150 Kidder 76. Ben Brintz brintzb@science.oregonstate.edu. Tue 11am and 1pm. Katie Eng engka@science.oregonstate.edu. Mon 5pm, Tue 4pm. Kalbi Zongo zongok@stat.oregonstate.edu. Mon noon and 2pm. Katie, Monday 9-9:50am, Thursday 3-3:50pm. Ben, Tuesday 2-2:50pm, Wednesday 11-11:50am.

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Methods of data analysis.stat511 | stat511.cwick.co.nz Reviews
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Methods of data analysis. Fall 2014. Oregon State University. MWF 1000-1050 Cordley 1109. Milne Computing Center 201. Charlotte Wickham, 76 Kidder. Charlotte.wickham@stat.oregonstate.edu. Weds 1500-1650 Cordley 3003. Fri 1100-1150 Kidder 76. Ben Brintz brintzb@science.oregonstate.edu. Tue 11am and 1pm. Katie Eng engka@science.oregonstate.edu. Mon 5pm, Tue 4pm. Kalbi Zongo zongok@stat.oregonstate.edu. Mon noon and 2pm. Katie, Monday 9-9:50am, Thursday 3-3:50pm. Ben, Tuesday 2-2:50pm, Wednesday 11-11:50am.
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1 lectures
2 labs
3 instructor
4 office hours/help sessions
5 ta’s
6 ta office hours
7 week 1
8 intro and review
9 reading
10 welcome
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lectures,labs,instructor,office hours/help sessions,ta’s,ta office hours,week 1,intro and review,reading,welcome,random sampling model,doc cam notes,week 2,the t tools,statistical testing,week 3,more t tools,some r,subsetting r code,plotting r code,week 4
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Methods of data analysis.stat511 | stat511.cwick.co.nz Reviews

https://stat511.cwick.co.nz

Methods of data analysis. Fall 2014. Oregon State University. MWF 1000-1050 Cordley 1109. Milne Computing Center 201. Charlotte Wickham, 76 Kidder. Charlotte.wickham@stat.oregonstate.edu. Weds 1500-1650 Cordley 3003. Fri 1100-1150 Kidder 76. Ben Brintz brintzb@science.oregonstate.edu. Tue 11am and 1pm. Katie Eng engka@science.oregonstate.edu. Mon 5pm, Tue 4pm. Kalbi Zongo zongok@stat.oregonstate.edu. Mon noon and 2pm. Katie, Monday 9-9:50am, Thursday 3-3:50pm. Ben, Tuesday 2-2:50pm, Wednesday 11-11:50am.

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1

Quiz 2 Study Guide.stat511

http://stat511.cwick.co.nz/quiz2-study-guide.html

Quiz 2 Study Guide. Sleuth: 1.3, 2.3, 2.4, 2.5, 3.1, 3.2, 3.3 and 3.4. Everything that was on Quiz 1 could also be on Quiz 2. You should be able to explain the meaning, or identify the correct explanation, of the following terms:. Identify from a study description if causal inference is justified. State the three facts about the sampling distribution of the difference in two sample averages, based on two independent random samples. Given R output from a two-sample t-test:. Given a randomization distribut...

2

Quiz 4 Study Guide.stat511

http://stat511.cwick.co.nz/quiz4-study-guide.html

Quiz 4 Study Guide. Sleuth 5 and 6 (Optional OpenIntro 5.5). Practice Questions: Conceptual Exercises in Sleuth. Page 141: 1, 4, 5, 6, 7, 8, 9, 11 and 12. Page 170: 6, 7, 8, 9, 10 and 11. State the null and alternative hypothesis in the one-way ANOVA. What is a residual? Know the steps to fill in a partially completed ANOVA table (there are many ways it could be partially completed, practice with ex 17 pg 142 in Sleuth or 5.39(c) pg 259 in OpenIntro). Are there situations where this isn’t appropriate?

3

Homework 1.stat511

http://stat511.cwick.co.nz/homeworks/homework-1.html

Due on canvas Oct 9th. 1 Central Limit Theorem. Do Problems 4.35 and 4.36. If you want more review read Sections 4.1, 4.2 and 4.4 in OpenIntro. You might also want to play with this demonstration: https:/ ihstevenson.shinyapps.io/sample means/. 2 Displaying and describing distributions. Examine the plots in q2-hists.pdf. Each row is a different sample dataset, each column is a different type of plot you might use to examine the distribution of a sample. You can load the data and add a column to the.

4

Final Study Guide.stat511

http://stat511.cwick.co.nz/final-study-guide.html

The final is cumulative. You can expect questions from all the material we have covered, so look at all the quiz study guides as well. Practice Questions: Conceptual Exercises in Sleuth. State the model for the mean in a simple linear regression? Which variable is the response, and which is the explanatory variable? In plain English, what is the interpretation of the intercept and slope parameters. What is the difference between interpolation and extrapolation? Why is extrapolation dangerous? List the th...

5

Quiz 1 Study Guide.stat511

http://stat511.cwick.co.nz/quiz1-study-guide.html

Quiz 1 Study Guide. Sleuth: 1.1, 1.2, 1.5, 2.1 and 2.2. OpenIntro Chapter 4 and Section 5.3. You should be able to explain the meaning, or identify the correct explanation, of the following terms:. Standard error of the mean. Identify from a study description if population inference is justified. State the three facts about the sampling distribution of the sample average. Identify correct statements of facts about the sampling distribution of the sample average. Given R output from a paired t-test:.

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Methods of data analysis.stat511

Methods of data analysis. Fall 2014. Oregon State University. MWF 1000-1050 Cordley 1109. Milne Computing Center 201. Charlotte Wickham, 76 Kidder. Charlotte.wickham@stat.oregonstate.edu. Weds 1500-1650 Cordley 3003. Fri 1100-1150 Kidder 76. Ben Brintz brintzb@science.oregonstate.edu. Tue 11am and 1pm. Katie Eng engka@science.oregonstate.edu. Mon 5pm, Tue 4pm. Kalbi Zongo zongok@stat.oregonstate.edu. Mon noon and 2pm. Katie, Monday 9-9:50am, Thursday 3-3:50pm. Ben, Tuesday 2-2:50pm, Wednesday 11-11:50am.

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Methods of data analysis.stat512

Methods of data analysis. Winter 2015. Oregon State University. MWF 1000-1050, WNGR 153. Wednesdays noon, 1pm, 2pm and 5pm Milne Computing Center 201. Charlotte Wickham, 76 Kidder. Charlotte.wickham@stat.oregonstate.edu. Tuesday 3-5pm Cordley 3003. Friday 11am-noon Kidder 76. Ben Brintz brintzb@science.oregonstate.edu. Katie Eng engka@science.oregonstate.edu. Joe Maurer maurerjo@science.oregonstate.edu. Joe Mon 3-4pm, Thu 9-10am. Sleuth: 7&8, 9.1 and 9.3.2. Multiple explanatories and indicator variables.

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