Stats 250 Exam 1 Study Guide
Stats 250 Exam 1 Study Guide STATS 250
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This 4 page Study Guide was uploaded by Debra Tee on Saturday October 8, 2016. The Study Guide belongs to STATS 250 at University of Michigan taught by Thomas Venable Jr in Fall. Since its upload, it has received 10 views. For similar materials see /class/231658/stats-250-university-of-michigan in Statistics at University of Michigan.
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Date Created: 10/08/16
Stats 250 Study Review for Exam 1 After I finished working on Past exams from Fall 2006 all the way to Spring 2013, these are some of the important key words, definitions and concepts I think are vital to doing well in Exam 1. Important key words and Definitions: Experiment: subjects are randomly divided into groups. Control group: subjects who received no treatment. Response variable: variable used to measure results you are looking for in the study. Histogram -> Cannot be used to describe shape of distribution. Population parameter -> any description that represents entire population. 95% Confidence level: With repeated sampling, we can say with 95% confidence that the population mean falls within the resulting confidence intervals 95% of the time, on average. Interpreting the Confidence Level: Definition of 95% Confidence Level: If the sampling procedure were repeated many times, then approximately 95% of the resulting confidence intervals would contain the population proportion of xxx… Important concept: When Confidence level increases, width of confidence interval increases. IQR = Q3 – Q1 Common Mistakes: 1. Can we say that 95% of the time the population proportion p will be in the confidence interval for ????? NO, either p is in the particular interval or it is not! Stuff you should know!!: - Quantitative vs Categorical variables - Explanatory vs observational variables - Different types of bias - How to choose the sample size of a survey – Use Conservative Margin of Error – remember to round up to the next largest integer - Confounding/ Lurking variable - p-value - alpha - beta - Sample statistic vs population parameter - How to decide to reject/fail to reject H0 - How to read p-values from the table in the yellow formula sheet - Median and mean -> How distribution looks like with different medians and means -> what kind of skews - Know the exact definitions and relevant variations for 99% Confidence Level + Interval + p-value - Probability rules -> you definitely want to know when to use which formulas – Page 1 of yellow formula sheet. Tips: Understand how to use and where to find formulas in your yellow formula sheet. You will only be using page 1 and 2 and the normal table in Exam 1. Remember, with small sample size (np<10), you will need to use the binomial distribution. Understand all the different Q1, Q2 Q3 percentiles -> this is the section where they twist words to make questions tricky. Practice, practice practice! Do past year exams without answers and check your solutions to test yourself -> Be sure to be careful when grading yourself. Stats 250 requires you to be very careful with wordings. Sometimes, you might think that your answer and the answer key looks similar and probably means the same thing, but you might still lose points for inaccuracy. When in doubt, check with your professor or GSI to confirm your answers and ensure you are not missing any key words. Good luck everyone! May the force be with you J
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